About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

• Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
• Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
• Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
• Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
• Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
• Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
• Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
• Prototype rapidly in the field, then harden solutions into supportable, production quality software
• Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
• Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
• Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

• 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
• Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
• A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
• Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
• Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
• Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
• Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
• Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
• Excellent communication skills, translating between technical detail and business or financial impact
• Bias toward action and comfort with ambiguity
• Prior experience in cybersecurity, GRC, or risk management is a strong plus
• Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You’ll deploy onsite, learn the customer’s workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.

We’re an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.

What You’ll Do

• Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
• Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
• Weave SecurityScorecard into the customer’s existing data, logic, and process, rather than forcing them to adapt to a generic integration
• Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
• Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
• Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
• Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer’s cloud footprint
• Prototype rapidly in the field, then harden solutions into supportable, production quality software
• Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
• Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
• Travel to customer sites for workshops, technical deep dives, and go-live support

Required Qualifications:

• 8+ years of software engineering experience, with significant time in a customer-facing, forward deployed, or solutions engineering capacity
• Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
• A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
• Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
• Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
• Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
• Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer’s existing cloud environment
• Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
• Excellent communication skills, translating between technical detail and business or financial impact
• Bias toward action and comfort with ambiguity
• Prior experience in cybersecurity, GRC, or risk management is a strong plus
• Willingness to travel to customer sites (typically 20 to 40%, depending on account load)

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $180,000 - $240,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Company Description

Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.

lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

Job Description

JOB DESCRIPTION

We are looking for an AI Automation Engineer to help us power up the traveller’s journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job.

The job in brief:

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week)

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.

Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.

Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).

Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.

Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.

Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.

Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:

You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:

You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:

You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:

You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:

You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:

You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:

Proficiency in Python and/or JavaScript.

• AI/ML Development:

Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:

Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:

Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:

Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended

(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the team

Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.

AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.

The opportunity now is to turn that energy into something more systematic.That’s where you come in.

About the role

We’re looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.

This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You’ll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.

One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly.

You’ll own the connective layer between AI strategy and day-to-day execution across R&D.

This isn’t a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We’re looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through.

You’ll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform.

What you’ll do

• Build and continuously improve our backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence the jobs where AI can have the greatest impact.
• Take ambiguous problems from initial discovery through to delivery: understand the user and workflow, explore options and trade-offs, design the right system, build or coordinate implementation, test, document, launch, measure, and improve.
• Design simple, AI-native solutions that fit naturally into how people work. You’ll know when a prompt is enough—and when the problem calls for a workflow, integration, agent, database, or custom application.
• Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on areas including access, configuration, connectors, enablement, and support.
• Own the lifecycle of the AI systems within your portfolio, including automations, skills, agents, and internal web applications.
• Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance—using evidence and feedback to improve systems over time.
• Partner with teams across R&D to uncover needs, unblock delivery, clarify ownership, and bring the right experts into the work.
• Help run and evolve our R&D AI governance and enablement practices, giving leaders better visibility into active work, risks, adoption, and outcomes.
• Participate in Typeform’s broader AI governance efforts as an R&D contributor.
• Work with Finance and other partners to improve visibility into AI tool usage, spend, and value, helping inform investment decisions.
• Explore and support the development of autonomous agents that can improve how we plan, discover, design, build, evaluate, and manage work across the product development lifecycle.

What you’ll bring

• Strong practical experience applying AI to real-world problems—not just experimenting with models, but building solutions that people actually use.
• A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement.
• Excellent systems thinking. You can understand how people, processes, tools, data flows, integrations, permissions, and technical constraints fit together—and make thoughtful trade-offs between different approaches.
• Strong user and workflow discovery skills. You know how to get beyond the initial request, understand the real job to be done, and simplify a solution when the original approach is more complex than it needs to be.
• Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications.
• Practical experience with modern development practices and tools such as GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting.
• Experience managing work independently: prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating clearly with stakeholders.
• A strong approach to evaluation and reliability. You think about what “good” looks like, how to test for it, how to collect feedback, and how to improve a system after it goes live.
• The ability to work effectively across technical and non-technical teams. You’re comfortable asking questions, challenging assumptions, seeking expert input, and making progress without needing close day-to-day direction.
• Good judgment around responsible AI, security, access, and governance, and an understanding of when to bring in the right partners.

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

About us

OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world’s transition to an open financial system, built on open standards and secured by rigorous research.

Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap.

We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.

Please note: Always refer to OpenZeppelin’s official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information.

The AI Operations Team

The AI Operations team owns the agentic layer the rest of the company runs on. We build the workflows, agents, and scheduled tasks that automate business processes end to end, and we build and maintain the proprietary framework those components ship in. Every business unit at OpenZeppelin is a customer of this team.

What you’ll be doing

The role has two primary work streams.

AI workflow design, implementation, and maintenance. You understand the fundamental AI building blocks that we use in the company, and you work with interdisciplinary business units to help them identify flows in their processes that can be optimized and automated with AI.

Internal AI automation framework product feedback and contribution. Based on the experience that you obtain as a consumer of the internal AI automation framework, and on your study of the ecosystem, you provide product feedback (feature requests, bug reports, etc.), contribute to the source code of the framework, and take part in peer review and development.

• Work together with different business units in the company to understand where and how AI can be applied in their daily workflows to improve their overall productivity.
• Design, implement, test, and maintain AI automation workflows and scheduled tasks that encapsulate and automate business processes that span the company.
• Monitor and measure automation executions, and iterate on the components that underperform.
• Provide product feedback for fixes and new features in the internal AI automation framework, and peer review and actively maintain its source code as a developer on the AI Operations team.
• Run training sessions and write internal guides on applied AI topics such as skill development, agent design, and prompt/context engineering.

You have

• Hands-on experience building applied AI systems, and fluency with both the concepts involved (prompt engineering, context engineering, prompt caching, tool use, progressive disclosure) and the fundamental building blocks: skills, remote and local MCP servers, agents, and agent harnesses.
• Practical experience with LLM provider APIs and gateways, such as the the OpenAI Chat Completions and Responses APIs, the Anthropic Messages API, or OpenRouter.
• Ability to read, write, and structure Markdown-based systems (skills, agent definitions, workflow specs, and knowledge bases), alongside TypeScript development experience and solid Git and GitHub fluency: branches, pull requests, reviews, and the discipline to keep shared repositories clean.
• A security-first mindset: you think about what an autonomous agent should not be allowed to do before you ship it.
• Strong ability to communicate deeply technical topics, both written and spoken, and patience working with non-technical colleagues. You will be their bridge into the agentic workflow.

Nice to have

• Familiarity with AI software development techniques like spec-driven development or RPI (Research, Plan, Implement), with the principal AI development harnesses like Claude Code, Codex, or OpenCode, and with SDD tooling like Superpowers or Spec Kit.
• Experience running evaluations of LLM systems (evals, benchmarks, regression testing of prompts).
• Ability to work autonomously and as a collaborator on the team.

Logistics:

Our interview process takes place on Google Meet or Zoom and tends to consist of the following stages:

• Recruiter Call (30 minutes)
• Hiring Manager Call (60 minutes)
• Team Interview (30 minutes)
• Leadership Interview (30 minutes)
• Paid work trial (10-20 hours of paid work)
• Reference checks

Benefits

• Meet your teammates at company gatherings around the world 😎
• Enjoy the flexibility of fully remote work 🌎
• Take the time you need with flexible time off 🏝
• Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙
• Build your ideal home office with up to $500 in equipment support 🪑
• Stay covered with medical insurance 🏥
• Keep growing with learning and development opportunities 🧠
• Get a monthly stipend for your preferred co-working space 💻

At OpenZeppelin, we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us!

Use of AI as part of the recruiting process

As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice.

If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

• Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
• Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
• Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
• Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
• Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
• Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
• Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

• Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
• You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
• High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
• Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
• Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
• High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
• Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

• It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
• It is not staff augmentation. You own outcomes, not hours or ticket queues.
• It is not advisory. We deliver working software, not recommendations.
• It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

• 5+ years building and shipping production software, at least some of it inside customer or partner environments
• Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
• Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
• Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
• Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
• Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
• Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

• Built analytical, decision, or reasoning applications that reached production and stayed there
• Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
• Semantic modelling, data pipelines, and governance in real enterprise settings
• Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
• Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

• Work from anywhere in the world
• Earn competitive salary + equity
• Enjoy open PTO, flexible schedules, and recharge weeks
• Access global benefits, mental-health support, and learning stipends
• Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
• Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
• A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

AI Automation Specialist – Remote

AI Automation | Workflow Automation | Zapier | Make | n8n | OpenAI | Process Optimization

Position Type: Full-Time, Remote

Location: Remote (LATAM, Pakistan, South Africa, Eastern Europe Preferred)

Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring an AI Automation Specialist to design, build, and optimize intelligent automation systems that eliminate manual work and improve operational efficiency across the business.

This is a hands-on, execution-focused role combining AI integration, workflow automation, system integrations, and process optimization. You’ll leverage modern automation platforms, APIs, and AI models to create scalable solutions that streamline operations across departments including operations, sales, marketing, HR, finance, and customer support.

If you’re passionate about AI, automation, and building systems that save time, reduce errors, and scale business operations, this role is an excellent opportunity to make a measurable impact.

What You’ll Own

Process Analysis & Automation Design

• Analyze existing workflows and identify automation opportunities.
• Design scalable AI-powered workflows that reduce manual effort.
• Translate business requirements into efficient automation solutions.
• Recommend automation strategies that improve scalability and operational efficiency.
• Continuously identify process improvements and eliminate bottlenecks.

AI & Workflow Automation

• Build, deploy, and maintain workflows using platforms such as:

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate

• Integrate AI services including:

  • OpenAI (ChatGPT)
  • Claude
  • Gemini
  • Anthropic
  • Other LLM APIs

• Develop AI-powered workflows for:

  • Content generation
  • Data processing
  • Classification
  • Summarization
  • Customer support
  • Lead management
  • Employee onboarding
  • Internal operations

Systems Integration

• Connect business applications using APIs and webhooks.
• Configure triggers, actions, filters, and conditional logic.
• Ensure reliable synchronization across business systems.
• Troubleshoot workflow failures, API errors, and integration issues.
• Build scalable, maintainable automation architectures.

Optimization & Performance

• Monitor workflow performance, reliability, and execution success.
• Optimize automation speed, scalability, and maintainability.
• Improve workflow logic using performance data and user feedback.
• Continuously reduce manual effort through automation enhancements.

Documentation & Collaboration

• Document workflows, integrations, logic, and system dependencies.
• Collaborate with operations, marketing, leadership, and technical teams.
• Communicate automation performance and business impact.
• Train internal teams on automation processes and best practices.

Requirements

Must-Have Qualifications

Experience

• Experience in:

  • Workflow Automation
  • Process Optimization
  • Systems Operations
  • Business Process Engineering

• Hands-on experience with automation platforms such as:

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate

• Experience integrating AI platforms including:

  • OpenAI
  • Claude
  • Gemini
  • Anthropic
  • Similar AI services

Technical Skills

• Strong understanding of:

  • APIs
  • Webhooks
  • JSON
  • System integrations

• Strong troubleshooting and analytical problem-solving skills.

• Excellent communication and technical documentation abilities.

• Reliable internet connection and professional remote workspace.

Nice-to-Have

• Experience with Python or JavaScript.

• Familiarity with:

  • Airtable
  • Google Sheets
  • Notion
  • Database-driven workflows

• Experience integrating:

  • HubSpot
  • Salesforce
  • Other CRM platforms

• Knowledge of prompt engineering and AI workflow optimization.

• Experience with RPA tools such as:

  • UiPath
  • Automation Anywhere

• Experience building AI agents, internal assistants, or operational automation systems.

Tools & Technologies

• Zapier
• Make
• n8n
• Microsoft Power Automate
• OpenAI
• Claude
• Gemini
• APIs & Webhooks
• Google Workspace
• Slack
• Asana
• ClickUp

What Makes You a Strong Fit

• Passionate about automation and AI technologies.
• Strong systems thinker with an operational mindset.
• Able to transform business challenges into scalable automation solutions.
• Comfortable collaborating with both technical and non-technical stakeholders.
• Organized with excellent documentation habits.
• Curious, adaptable, and continuously learning emerging AI technologies.
• Self-driven and comfortable working independently in a remote environment.

What a Typical Day Looks Like

• Analyze existing business workflows for automation opportunities.
• Build and test AI-powered workflows.
• Integrate business systems using APIs and automation platforms.
• Troubleshoot workflow failures and optimize automation logic.
• Monitor automation performance and system reliability.
• Document automation processes and technical workflows.
• Collaborate with stakeholders to implement operational improvements.

In short: You design and build AI-powered automation systems that reduce manual work, improve operational efficiency, and help the business scale.

Key Metrics for Success (KPIs)

• Number of operational workflows successfully automated
• Automation reliability and uptime
• Reduction in manual tasks and operational inefficiencies
• Accuracy and scalability of automation systems
• Speed of implementation and optimization cycles
• Quality of documentation and process clarity
• Stakeholder satisfaction and measurable business impact

Why This Role Stands Out

• Build impactful AI-powered automation systems used across the business.

• Work with cutting-edge AI and automation technologies.

• High ownership and autonomy over automation initiatives.

• Opportunity to improve business operations at scale.

• Collaborative, innovation-focused remote environment.

• Clear career growth into:

  • Senior AI Automation Engineer
  • Automation Architect
  • AI Solutions Engineer
  • Business Systems Lead

Interview Process

1. Initial Phone Screen
2. Spark Hire Intro Video (3–5 minutes)
3. Practical Assessment (Automation or Workflow Scenario)
4. Final Client Interview
5. Offer & Onboarding

What Happens After You Apply

Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you.

Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds.

Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed.

Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application.

Apply Now

If you’re passionate about AI, automation, and building scalable systems that solve real business problems, we’d love to hear from you. Apply today and help transform manual operations into intelligent, AI-driven workflows.

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

• Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
• Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
• Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
• Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
• Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
• Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
• Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

• Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
• You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
• High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
• Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
• Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
• High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
• Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

• It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
• It is not staff augmentation. You own outcomes, not hours or ticket queues.
• It is not advisory. We deliver working software, not recommendations.
• It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

• 5+ years building and shipping production software, at least some of it inside customer or partner environments
• Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
• Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
• Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
• Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
• Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
• Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

• Built analytical, decision, or reasoning applications that reached production and stayed there
• Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
• Semantic modelling, data pipelines, and governance in real enterprise settings
• Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
• Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

• Work from anywhere in the world
• Earn competitive salary + equity
• Enjoy open PTO, flexible schedules, and recharge weeks
• Access global benefits, mental-health support, and learning stipends
• Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
• Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
• A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Company Description

About us:

Passion for food. Hunger for tech. We make METRO digital.

Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale.

You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!

How you will make an impact?

We are looking for an AI Consultant to serve as a strategic bridge between business and technology, driving the adoption and successful integration of AI and automation solutions across our organization. In this role, you will act as the key translator between AI & Automation strategy and business needs, ensuring that solutions are aligned with METRO’s overall vision. You will engage with stakeholders to identify, assess, and prioritize high-impact AI and automation use cases using data-driven ROI metrics and consult them to unlock the potential of AI and automation.

Develop clear requirements, user stories, and value cases that adhere to AI Platform standards and strategic priorities. Collaborate with cross-functional teams—including Research, Tech, and Business—to design user-centric, data-driven solutions and guide their implementation.

This position offers a dynamic opportunity to shape the future of wholesale by leveraging your expertise to deliver measurable business value through intelligent automation.

Job Description

Your Responsibilities:

• Being the translator of AI & Automation Strategy to business and back to the AIA Platform and consult the organization to unlock the potential of AI & Automation;
• Engage with business stakeholders to identify and prioritize potential AI and Automation use cases based on ROI metrics;
• Facilitate workshops, interviews, and data-driven assessments across METRO organization, to define value propositions and feasibility for the use cases;
• Translate business needs into actionable requirements, user stories, and value cases aligned with platform standards;
• Ensure alignment of identified opportunities with strategic AI themes and portfolio priorities in line with AI Strategy;
• Partner the Squad Lead on roadmap planning, backlog prioritization, and sprint readiness; support agile delivery and stakeholder management;
• Partner with AIA Platform leadership team, to ensure consistency from ideation to benefit tracking.
• Support KPI definition, value measurement, and quarterly reporting (QBRs);
• Act as a local AI ambassador within the squad’s domain, promoting adoption and responsible use of AI solutions;
• Support rollout, training, and communication of new AI and automation products.

Qualifications

Required key competencies and qualifications:

• Subject Matter Expertise: Understands well its area of responsibility (AI & Automation), all related systems, processes and products;
• Discovery: Conducts qualitative and quantitative research with the support of the Research team. Applies the right methodologies to find out relevant information about the user and their problems and needs;
• Data Driven Decision making: Number driven business opportunities identification, be able to set up value measurement concepts and interpret results from econometrically point of view;
• Consultancy: Understands the demands of the internal client, selects and explains the right solution. With the proactive behavior, being always a helping hand to solve with cutting-edge technology and bring new ideas to the stakeholder: One more thing mindset;
• Business Requirements Analysis: Analyses the business requirements and transforms them into AI & Automation opportunities;
• Communication: Conveys or shares ideas, feelings and information effectively using the most appropriate methods, tools and channels for the respective audience. Good verbal, written and inter-personal communication skills. Very good fluency in English (written and verbal);
• Process Architecture: Understands the big picture of AI & Automation product portfolio, how it first in METRO´s solution landscape and knows how it supports METRO’s strategy, objectives and their measurement.

Additional Information

What we offer at METRO.digital?

• Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup.

• People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation … it´s time to upskill your career.

• Support with individual solutions: we are people-caring!

We offer support whenever you need it - at every stage of your professional journey.

Want to know more about all our benefits? Discover more here.

Let´s connect soon. Apply for the role now!

Position grade within our career framework: AI Consultant (Md7).

Senior Financial Analyst, FP&A (AI First)

Department: Operations

Location: Remote, Canada or US

Position Type: Full-Time, Permanent

Hours: Monday-Friday, 9AM-5PM (in your time zone)

About the Role

Unbounce is looking for a Senior Financial Analyst, FP&A (AI First) to join our FP&A team. You’ll run our budgeting and forecasting cycles, prepare monthly reporting, support the accounting team through month-end close, and partner with teams across the business to answer financial questions.

This is an AI-native role: the outputs are familiar (an annual budget, a rolling forecast, a monthly reporting package, board metrics), but you will spend a meaningful share of your time building the systems that produce them rather than producing them by hand. Every employee at Unbounce has Claude, and our billing and accounting stack was rebuilt this year on Recurly and Rillet, so the data layer underneath you is new rather than inherited.

Concretely, when a recurring analysis takes four hours by hand, we expect your instinct to be to build the thing that does it in four minutes next month, and then to be the person who can tell whether its answer is right. The second half matters more than the first. Automation without judgment is worse than no automation, and this role owns both.

We’re after someone dependable and detail-oriented who communicates clearly and whose first instinct on a repetitive task is to automate it. You don’t need to have done every item on this list. If you’re strong in most areas and willing to learn the rest, we’d like to hear from you.

What You’ll Be Doing

Build and operate AI-driven finance workflows

• Design, build and maintain the AI agents and automated workflows that carry the recurring FP&A load: variance analysis, first-pass commentary, cohort and retention analysis, board metric refreshes, and the routine data pulls underneath all of them.
• Use AI as a default part of your workflow, across analysis, modeling, reporting, and commentary, within our team practices and data-handling guidelines.
• Use Claude, which every employee here already has, to speed up analysis, automate recurring reporting, draft first-pass variance commentary, and pressure-test your own assumptions before numbers go out.
• Build the context these agents need in order to be reliable: metric definitions, documented data lineage from source system to report, and explicit rules for how each number is constructed. An agent is only as good as the context it can reach.
• Decide what should and should not be automated. Draw and defend the line between work an agent runs unsupervised, work an agent drafts for human review, and work that stays fully manual.
• Own the finance team’s shared library of agents, prompts, skills and calculation templates. Treat it as a deliverable in its own right, versioned and documented, so that it keeps producing when you are on vacation.
• Own what the tools produce, review AI-assisted work to the same standard as your own, and know when a question needs judgment instead. Build the checks in: validation against source, reconciliation, and a review step that catches a wrong answer before it reaches leadership or the board.
• Raise the ceiling for the people around you. Some of your highest-leverage work will be enabling your business partners to answer their own questions rather than producing the analysis yourself.

Planning and forecasting

• Prepare Own the annual budget and quarterly/monthly forecast updates, gathering inputs from department leaders.
• Maintain the company’s financial model (revenue, expenses, headcount, and cash) and keep the key assumptions up to date. Structure it so that running a new scenario is a configuration change, not a rebuild.
• Run scenario analysis to help leadership weigh decisions, using AI to build and iterate on cases faster than a manual model rebuild allows, fast enough to be useful in the meeting where the decision is actually being made.

Reporting

• Own the monthly reporting package: actuals versus budget and forecast, variance analysis, and commentary. AI-drafted first pass, then edited and owned by you.
• Help prepare materials for leadership and board meetings, including our key metrics and dashboards.
• Work with the accounting team during month-end close to make sure results are accurate and on time.

Metrics and analysis

• Own our core SaaS metrics (ARR/MRR, net and gross revenue retention, churn, CAC, and LTV) and keep the definitions consistent.
• Look at customer, product, and segment profitability and take the findings to the people who can act on them.
• Build and maintain reports in our BI tools so teams can see the numbers they need, and so that analysts, dashboards and agents all draw on one trusted source rather than several competing ones.

Working with the business

• Be the finance point of contact for Sales, Marketing, Product, and G&A, helping them manage budgets and understand spend.
• Partner with Data and Analytics to scope reporting needs, so what we build answers the right questions.
• Help evaluate the costs and benefits of proposed projects and investments.
• Handle ad-hoc analysis requests as they come up.

A Little Bit About You

• A reliable instinct for when a machine-generated answer is wrong. This is a very important qualification for this role.
• Structured thinking: you can break a vague business question into defined, verifiable steps, which is the same skill that makes an agent work.
• Demonstrated use of AI tools in real finance work. You can walk us through something you automated or accelerated, and how you checked the output.
• Experience building AI-assisted workflows: prompt-based reporting, scripting, or connecting AI tools to finance data sources.
• 3–5+ years of experience in FP&A, corporate finance, or a similar analytical finance role. We weight demonstrated ability to build with AI as heavily as two additional years of conventional experience.
• Experience at a SaaS or subscription business, or willingness to get up to speed on the model.
• A good understanding of common SaaS metrics (ARR, retention, churn, CAC, LTV) and what drives them.
• Solid financial modeling and Excel/Google Sheets skills. Excel and Google Sheets are output formats here rather than the core skill; the core skill is breaking a FP&A question down precisely enough that an agent can run it reliably and repeatably.
• A working knowledge of the three financial statements and subscription revenue recognition.
• The ability to explain financial results clearly to people outside of finance.
• Comfort with ERP, planning, and BI tools (e.g. NetSuite, Cube, QuickSight, or similar).
• An understanding of how finance and business systems fit together and how data moves between them, and the ability to scope reporting needs with Data teams.
• A willingness to work in the open, documenting what you build so that someone else can run it.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related field.

Nice to Have

• Experience partnering with Sales or RevOps on pipeline, quota, or go-to-market planning.
• Exposure to headcount and workforce planning alongside the People team.
• SQL or comfort working with larger datasets.
• MBA, CFA, or CPA.

Our Stack

• Every employee has a Claude account. Recurly for billing and Rillet for accounting, both implemented this year. QuickSight for business intelligence.

Share Our Values

• Customer First
• Bias for Action
• High Velocity Decision Making
• Inclusion
• Results Focused

Compensation

Our compensation bands are designed to reflect how people grow in their roles. Each level includes three stages: Developing, Proficient and Expert, which represent increasing capability, independence and impact over time.

The compensation range for this role is $95,000 to $110,000 CAD which reflects the Proficient stage of our compensation band for this job level (P3). For United States based applicants, the compensation range for this role is $100,000 to $120,000 USD.

Progression into higher stages and job levels may occur over time based on demonstrated performance, mastery of role expectations and overall impact. For specialized or hard-to-fill roles, we may extend offers above the posted range if a candidate brings exceptional experience.

Perks & Benefits

Flexibility and Time Off

• Flexible Time Off Policy - We encourage a minimum of 4 weeks per year!
• Remote First Team
• Flexible Hours
• Work From Anywhere Program

Health and Wellness

• Health Insurance
• Employee Assistance Program (EAP)
• Quarterly Company Wide Recharge Days
• End of Year Company Wide Holiday Closure
• Maternity & Parental Leave Program
• $2000 Lifestyle Spending Account (LSA)

Growth & Future

• Professional Development Budget
• Volunteer Day
• Team Building Budget
• Employee Referral Bonus Program ($1000)
• Anniversary Milestone LSA Top Up
• Birthday Day Off

We Value Individuality!

At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others we learn from each other. We innovate and co-create an environment where team members can do the best work of their careers. We’re bolder and more brilliant together.

We’re dedicated to ensuring each team member feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.

We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.

If you require any accommodations or support during the recruitment process, please email us at careers@unbounce.com.

Our use of AI in hiring

We’re committed to keeping hiring personal. Every application is reviewed by a real person on our team, and we don’t use AI to screen or filter candidates out.

We do use AI to help with assessing candidates and summarizing interview feedback. These tools support our team in working more efficiently and reducing bias. All final hiring decisions are made by people who bring their judgment and experience to determine who joins our team.

At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an...

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant

Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses.

The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client’s direction and independently execute the technical setup within the platform.

The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client’s connected systems continue operating correctly.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

GHL Workflows & Automation

• Build, edit, test, and maintain GoHighLevel workflows
• Create and manage pipelines and opportunity stages
• Configure automation triggers, actions, and follow-up sequences
• Troubleshoot workflows that are not functioning as intended
• Test automations before implementation
• Monitor existing workflows and make necessary improvements
• Help ensure contacts entering GHL trigger the correct automated processes

GHL System & Integration Support

• Maintain and organize existing GHL accounts and assets
• Support integrations between GHL and the client’s other applications
• Test incoming data and automation triggers
• Troubleshoot basic integration or data-flow issues
• Assist with forms, contact management, email templates, and other GHL functionality
• Recommend practical improvements based on GHL capabilities

Website Management

• Maintain and update websites built using GoHighLevel
• Edit pages, content, forms, links, and other website elements
• Create or modify basic GHL website pages as needed
• Ensure website forms and other elements connect properly to GHL workflows
• Troubleshoot basic website issues within the GHL environment

Technical & Project Support

• Manage assigned tasks through ClickUp
• Document completed changes and technical configurations
• Communicate clearly regarding technical limitations or recommended solutions
• Test completed work before marking tasks complete
• Assist with ongoing GHL monitoring and maintenance as needed

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

• Hands-on GoHighLevel experience required/ expert
• Experience building GHL workflows and automations required
• Experience creating and managing GHL pipelines required
• Experience with GHL websites, forms, and related assets strongly preferred
• Experience troubleshooting GHL workflows and integrations strongly preferred
• Experience with CRM integrations and data flows preferred
• Strong technical troubleshooting skills
• Strong attention to detail
• Ability to communicate technical information clearly
• ClickUp experience preferred

IDEAL CANDIDATE PROFILE

• Highly proficient in GoHighLevel
• Strong understanding of workflows, automations, and pipelines
• Able to take a business requirement and translate it into a functional GHL setup
• Comfortable troubleshooting existing configurations
• Technically minded and detail-oriented
• Able to work independently without extensive micromanagement
• Comfortable making practical recommendations within GHL
• Strong problem-solving and testing habits
• Organized when managing multiple technical tasks

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

• GoHighLevel – Required
• ClickUp – Preferred
• Google Workspace
• CRM / Integration Tools
• AI Tools – Familiarity Preferred

Work Schedule

• Contracted Hours per Week: 10 Hours
• Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
• Daily Working Time: Flexible – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

• Contractors will operate under a Master Services Agreement and a Statement of Work
• This is not an offer of employment; contractors are not employees of 20four7VA or any client
• All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

• REQUIRED SERVICE: Technical VA
• REQUESTED EXPERIENCE TIER LEVEL: Senior Level
• Contracted Hours per Week: 10 hours/week
• Daily Working Time: Flexible – TBD
• Scheduled Working Days: Monday-Friday
• REPORTING TO/POC: To Be Determined
• Number of VAs: 1
• GENDER PREFERENCE: None
• LANGUAGES SPOKEN/PREFERENCE: English
• ACCENT PREFERENCE: Level A-C (Strong English Communication Required)
• REGION PREFERENCES: Any

What we offer

• Competitive rates
• Weekly payments
• Various open roles are available
• Free training and upskilling
• Constant support and guidance
• A vibrant community always ready to support you
• And more!

About Gladly

For business leaders who want to get AI right, Gladly is the only customer experience AI that delivers the cost savings they need AND the customer devotion that drives lasting business value. With over a decade of singular CX focus and trusted by the world’s most customer-centric brands including Crate & Barrel, Breeze Airways, and Ulta Beauty, Gladly was designed for devotion, not deflection: purpose-built to engage customers and turn every conversation into lasting relationship equity. The result is experiences that are radically personal and effortlessly scalable, emotionally intelligent and operationally efficient.

At the heart of our simply powerful platform, Gladly maintains one continuous conversation across all channels while striking the perfect balance of AI and human connection. With 450M+ conversations powered globally, $510M+ cumulative cost savings delivered for customers, and a 65% increase in CSAT, this is a team where your work has real impact at scale. Learn more at www.gladly.ai.

The Team

The AI Deployment Engineering team is the tip of the spear for every new AI rollout at Gladly, working hands-on with our most strategic customers to implement, optimize, and expand their use of our AI. The culture is collaborative and experimental: we solve hard problems together, so this is no place for a lone wolf. You will report to the Manager of AI Delivery and partner closely with Implementation Managers, Professional Services Engineering, and Solution Engineering.

The Opportunity

This role puts you at the center of how Gladly’s top brands adopt AI. You will design AI use cases, build the integrations and workflows behind them, and continuously optimize for the highest possible resolution rates. The goal is simple and high-stakes: help customers automate more of their customer experience, reduce handle time, and get measurably more value from Gladly’s AI all while building end consumer devotion.

You are technical enough to build on your own and polished enough to lead the customer conversation. You can decompose a vague request into a concrete plan, connect  the APIs, write the actions, workflows and guides that make the AI useful, and explain it all back to the customer in plain language. You hold yourself accountable, communicate proactively, and are energized by ambiguity and new technology.

Because this is an emerging discipline, you will help write Gladly’s playbook for what a great AI deployment looks like. It is highly technical and highly customer-facing, and that balance is exactly what makes it work.

We’re looking for someone with a passion for working directly with APIs, java script and AI  the curiosity to solve complex problems, and the initiative to thrive in a fast-paced SaaS environment.

What You’ll Do

Solution Design & Business Analysis

• Partner with customers to decompose ambiguous goals into concrete, buildable AI use cases, uncovering hidden complexity and edge cases along the way.
• Determine whether the data a use case needs is available, identify the right APIs or MCP sources, and secure access.

Integration & Technical Build

• Use Gladly’s CLI to register APIs on the App Platform, making customer data accessible to Gladly AI and agents.
• Write app actions in JavaScript to condense large API payloads down to the fields the AI actually needs.
• Build the workflows and guides that tell Gladly’s AI how to use that information and respond to the customer.

Optimization & Customer Success

• Own use cases end to end after launch: monitor performance, optimize, and build new use cases that lift assist and resolution rates.
• Give proactive status updates to customers and the internal team, and partner with SAMs and Implementation Managers to keep goals and timelines aligned.
• Participate in QBRs and EBRs to show progress and ensure customers are getting measurable value.

Pre-Sales & Cross-Functional Partnership

• Partner with Solutions Engineering on pre-sales demos, and pull in Professional Services Engineering for the most complex custom work.

What We’re Looking For

• 3-5 years in a technical, customer-facing role such as technical account management, solutions or sales engineering, support engineering, professional services, or forward-deployed engineering, ideally in SaaS, AI, or CX technology.
• Hands-on technical ability: you can read an API payload and write JavaScript to transform it, you understand REST APIs, JSON, and webhooks, and you are comfortable in a CLI. You build things yourself rather than handing them off.
• Strong business analysis skills: you turn an ambiguous customer goal into clear requirements and a workable solution design.
• Exceptional English communication (C1-C2 / business fluent), with the ability to explain complex technical concepts to non-technical stakeholders.
• Genuine curiosity about AI and an aptitude for prompt engineering and workflow design.
• Accountability and proactivity: you make commitments, keep them, communicate status without being asked, and thrive in ambiguity.
• Based in Colombia, able to work core US business hours or with significant overlap.
• CX, contact center, or CX SaaS background is a strong plus. Forward-deployed or deployment engineering experience at an AI company is a bonus.

Salary for this role: $40,000 - $54,000 USD (may be paid in USD or COL pesos, depending on COR or EOR contract options - but this is a full-time opportunity)

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Gladly’s bonus plan for eligible roles. In addition to cash compensation, all Gladly’s employees are eligible to participate in Gladly’s equity incentive plan to receive stock options per the terms of the agreement. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

Why Join Gladly?

Gladly is redefining customer experience AI; we’re designed for devotion, not deflection. We put people at the center of everything we build, from our platform to our culture. When you join us, you’ll enjoy:

• Competitive salaries, stock options, and comprehensive benefits
• Generous paid time off, parental leave, and home office stipends
• A fully remote work environment with opportunities for in-person team gatherings
• A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
• A company where AI is not a buzzword. We build AI products and we expect our team to use AI tools daily

We’re a team that believes in transparency, collaboration, and the idea that the best work happens when talented people genuinely enjoy working together. Top talent, good vibes, no politics. If this role excites you but you don’t meet every qualification, we still encourage you to apply. The perspectives and experiences you bring matter more than checking every box.

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant

Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses.

The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client’s direction and independently execute the technical setup within the platform.

The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client’s connected systems continue operating correctly.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

GHL Workflows & Automation

• Build, edit, test, and maintain GoHighLevel workflows
• Create and manage pipelines and opportunity stages
• Configure automation triggers, actions, and follow-up sequences
• Troubleshoot workflows that are not functioning as intended
• Test automations before implementation
• Monitor existing workflows and make necessary improvements
• Help ensure contacts entering GHL trigger the correct automated processes

GHL System & Integration Support

• Maintain and organize existing GHL accounts and assets
• Support integrations between GHL and the client’s other applications
• Test incoming data and automation triggers
• Troubleshoot basic integration or data-flow issues
• Assist with forms, contact management, email templates, and other GHL functionality
• Recommend practical improvements based on GHL capabilities

Website Management

• Maintain and update websites built using GoHighLevel
• Edit pages, content, forms, links, and other website elements
• Create or modify basic GHL website pages as needed
• Ensure website forms and other elements connect properly to GHL workflows
• Troubleshoot basic website issues within the GHL environment

Technical & Project Support

• Manage assigned tasks through ClickUp
• Document completed changes and technical configurations
• Communicate clearly regarding technical limitations or recommended solutions
• Test completed work before marking tasks complete
• Assist with ongoing GHL monitoring and maintenance as needed

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

• Hands-on GoHighLevel experience required/ expert
• Experience building GHL workflows and automations required
• Experience creating and managing GHL pipelines required
• Experience with GHL websites, forms, and related assets strongly preferred
• Experience troubleshooting GHL workflows and integrations strongly preferred
• Experience with CRM integrations and data flows preferred
• Strong technical troubleshooting skills
• Strong attention to detail
• Ability to communicate technical information clearly
• ClickUp experience preferred

IDEAL CANDIDATE PROFILE

• Highly proficient in GoHighLevel
• Strong understanding of workflows, automations, and pipelines
• Able to take a business requirement and translate it into a functional GHL setup
• Comfortable troubleshooting existing configurations
• Technically minded and detail-oriented
• Able to work independently without extensive micromanagement
• Comfortable making practical recommendations within GHL
• Strong problem-solving and testing habits
• Organized when managing multiple technical tasks

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

• GoHighLevel – Required
• ClickUp – Preferred
• Google Workspace
• CRM / Integration Tools
• AI Tools – Familiarity Preferred

Work Schedule

• Contracted Hours per Week: 10 Hours
• Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
• Daily Working Time: Flexible – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

• Contractors will operate under a Master Services Agreement and a Statement of Work
• This is not an offer of employment; contractors are not employees of 20four7VA or any client
• All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

• REQUIRED SERVICE: Technical VA
• REQUESTED EXPERIENCE TIER LEVEL: Senior Level
• Contracted Hours per Week: 10 hours/week
• Daily Working Time: Flexible – TBD
• Scheduled Working Days: Monday-Friday
• REPORTING TO/POC: To Be Determined
• Number of VAs: 1
• GENDER PREFERENCE: None
• LANGUAGES SPOKEN/PREFERENCE: English
• ACCENT PREFERENCE: Level A-C (Strong English Communication Required)
• REGION PREFERENCES: Any

What we offer

• Competitive rates
• Weekly payments
• Various open roles are available
• Free training and upskilling
• Constant support and guidance
• A vibrant community always ready to support you
• And more!

Senior Architect, Anthropic Enablement

Remote | US

At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. This role sits at the technical core of our Anthropic practice — leading the conversations, demos, and delivery sessions that show clients exactly what Claude Code and Claude Cowork can do, and where the next phase of work lives.

You’ll be the person in the room — often the only Nimble Gravity person in the room — with 20+ engineers or advanced knowledge workers who expect real answers, not a script. You’ll also be in the room earlier than that: on discovery calls and technical scoping sessions, helping prospects understand what’s possible before they’ve signed anything. This is a build-and-teach role. If you haven’t personally configured agentic workflows, written custom skills, or wired up MCP integrations, this isn’t the seat.

What You’ll Do

• Lead technical pre-sales:Partner with sales and delivery leadership on active opportunities — run technical discovery, scope proof-of-concept builds, and deliver live demonstrations of Claude Code and Claude Cowork tailored to a prospect’s actual environment and workflows.
• Deliver advanced technical enablement: Design and lead hands-on sessions for 20+ engineers or technical business users at a time — covering agentic coding workflows, custom skills, MCP server integrations, subagent orchestration, permission and tool-access models, and how to fit Claude Code and Cowork into existing engineering practice.
• Hold technical ground solo: Field detailed questions on architecture, context management, tool permissions, data flow, security posture, and failure modes — live, without deferring to “someone technical” who isn’t in the room.
• Frame the business case: Work with client stakeholders to identify high-value workflows, map them to what Claude Code and Cowork can actually do, and translate that into a business case business leaders will act on.
• Spot and scope follow-on work: Treat every workshop and demo as a discovery exercise — identify where a client’s next engagement lives, and feed that directly into proposals, SOWs, and delivery roadmaps.
• Build reusable technical assets:Create demo repos, sample skills, workshop curricula, and reference architectures that make every future engagement faster to stand up.
• Navigate regulated environments: Advise financial services, insurance, and other regulated clients on secure, compliant configurations of Claude Code and Cowork — governance, audit trails, and data handling included.
• Measure what matters: Track technical adoption depth, workshop-to-pipeline conversion, and follow-on scope generated — real numbers, not attendance counts.

What You’ll Bring

• 8+ years in software engineering, solutions architecture, or technical consulting, with recent hands-on depth in agentic AI systems — this is a senior architect–level technical role, not an enablement generalist role
• Deep, current, hands-on fluency with Claude Code and Claude Cowork specifically — configuring skills, MCP servers, subagents, and permission scopes, not just familiarity from the outside
• A specific, named example of something you’ve built with agentic AI tooling: a custom skill, an MCP integration, a multi-step agent workflow, a CI/CD pipeline with an agent in the loop
• Proven experience presenting to large (20+) technical audiences and holding your own against skeptical senior engineers with no one else backing you up
• Pre-sales or technical sales engineering experience — discovery calls, live demos, SOW scoping, or technical proposal input
• The judgment to translate technical capability into business value, and to spot where automation or agentic assistance unlocks the next phase of a client’s work
• A track record of turning technical sessions into scoped follow-on engagements — quantifiable in pipeline or expansion revenue, not just satisfaction scores
• Comfort operating in regulated, enterprise environments, including security and governance review of AI tooling
• The composure to demo or debug live, in real time, without a script

Strongly Preferred, Not Required

• Direct experience in banking, financial services, insurance, or another regulated industry
• Experience as a sales engineer or solutions consultant at an enterprise software or AI company
• Contributions to internal Anthropic-based tooling — custom MCP servers, shared skill libraries, or agent orchestration frameworks

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.

What Will You Do?

Primary responsibilities include:

• Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.
• Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly.
• Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built.
• Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.
• Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership.
• Partner with IT, Security, and Data teams so every deployed application meets SentinelOne’s standards for data security, compliance, and long-term supportability.
• Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.
• Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
• Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 8 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
• Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team.
• Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns.
• A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck.
• Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you.
• Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
• Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
• Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave

Insurance & Financial Security

• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$184,000—$253,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.

What Will You Do?

Primary responsibilities include:

• Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.
• Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly.
• Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built.
• Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.
• Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership.
• Partner with IT, Security, and Data teams so every deployed application meets SentinelOne’s standards for data security, compliance, and long-term supportability.
• Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.
• Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
• Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 5 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
• Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team.
• Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns.
• A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck.
• Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you.
• Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
• Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
• Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave

Insurance & Financial Security

• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$156,000—$215,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

About DevRev

At DevRev, we’re building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers’ processes.

What You’ll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers’ existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.