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.

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.

Work Hours: Night Shift (7:00 PM - 3:00 AM IST)

Location: Bengaluru

In-Office Expectation: This role is primarily shift-based. As the office does not currently operate between 8:00 PM and 8:00 AM, work during these hours will be performed remotely until further notice. The Company reserves the right, at its sole discretion, to modify office operating hours and require in-office work in the future.

Employees may be required to work onsite on an occasional basis for team collaboration, meetings, or other business needs. Accordingly, candidates must be based in Bengaluru and maintain the ability to work from Nextiva’s office located at Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048, as required.

Specific work schedules and any flexibility will be determined by the employee’s reporting manager in alignment with business requirements and team collaboration needs.

This role serves as a growth path into AI Solutions Engineering, Product Specialist opportunities, or Customer Success Leadership. At Nextiva, all team members working a standard shift are expected to work onsite, supporting a highly collaborative, in-person team environment.

About the Role:

Nextiva is looking for a passionate and detail-oriented AI Implementation / Customer Success Engineer to help deploy AI solutions for customers, design high-quality conversational experiences, and manage end-to-end agent implementations. This role blends technical skills, prompt engineering, workflow design, and customer-facing responsibilities to ensure successful delivery of AI-driven customer experience products.

You will work closely with product, engineering, and customer success teams to translate business needs into scalable AI workflows and optimized conversational agents.

Key Responsibilities:

AI Agent Implementation & Prompt Engineering

• Design, build, and optimize AI agents using advanced prompt engineering techniques.
• Create structured workflows and decision trees that guide AI agent behavior.
• Use LLMs such as GPT-4o, Gemini, Claude, Llama etc., to build, test, and refine agents.
• Implement function-calling / tool-calling capability within prompts using simple UI builders.
• Configure constraints and guardrails to reduce hallucinations and ensure reliable outputs.

Customer-Facing Implementation

• Work directly with customers to understand business needs, use cases, workflows, and integration requirements.
• Translate customer requirements into technical implementation plans.
• Assist in onboarding, deployment, and testing of AI solutions for customer environments.
• Provide ongoing optimization and support to ensure solution adoption and success.

Workflow & Integration Management

• Build, maintain, and optimize automation workflows using platform workflow builders.
• Integrate agents with customer tools, APIs, CRMs, or communication platforms where needed.
• Troubleshoot workflow, configuration, or data issues during implementation.

Conversation & Experience Design

• Create high-quality conversation flows for AI agents, ensuring clarity, tone, and brand alignment.
• Apply AI conversation design principles to improve user satisfaction and agent performance.

Technical Skills & Development

• Use basic Python for data handling, API interactions, testing, or workflow extensions.
• Work with GenAI technologies, SaaS tools, and no-code/low-code integration platforms.
• Perform evaluation and tuning of AI prompts, workflows, and agent performance.

Cross-functional Collaboration & Documentation

• Work with product teams to relay customer feedback and improve platform features.
• Maintain clear documentation for workflows, prompts, integrations, and customer implementations.
• Train customers and internal teams on product capabilities and best practices

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 1+ years of experience in AI product implementation, customer success engineering, or technical support roles.
• Prior experience supporting US based customers strongly preferred
• Excellent spoken and written English, with the ability to clearly explain technical and AI-driven processes to non-technical audiences.
• Comfortable leading customer discussions, gathering requirements, and explaining issues, solutions, and next steps with clarity and confidence.
• Strong hands-on experience with LLMs (GPT-4o, Gemini, Claude, etc.) for building agents and prompts.
• Solid understanding of Generative AI concepts, prompt engineering, and workflow design.
• Basic knowledge of Python, APIs, and SaaS tools.
• Experience in customer support / onboarding / technical implementation.
• Ability to manage hallucinations, constraints, and safe AI output design.
• Experience with workflow builders and no-code automation platforms.
• Good analytical, problem-solving, and debugging skills.
• Willingness to work night shifts to collaborate with global teams or customers.

Preferred (Nice-to-Have) Skills:

• Knowledge of vector databases, embeddings, or RAG workflows.
• Experience with API-based integrations.
• Familiarity with enterprise customer environments (CRM, CX platforms, VoIP, ticketing tools).
• Understanding of AI evaluation frameworks (test cases, scoring, prompt iteration).
• Exposure to Nextiva products or any communication/CX platforms is a plus.

What We Offer:

• Opportunity to work on cutting-edge GenAI implementations for global customers.
• Growth path into AI Solutions Engineering, Product Specialist, or Customer Success Leadership roles.
• Collaborative global team environment with high ownership and autonomy.

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
• Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
• Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate’s qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type- Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️- 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security 💰 - Provident Fund & Gratuity
• Wellness 🤸‍- Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we’re committed to supporting our employees’ health, well-being, and professional growth. Join us and build a rewarding career!

Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage.  We also do not authorize any third parties to collect payments or sensitive information on our behalf.

All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”. Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent.  If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to talent@nextiva.com.

We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities. If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.

For genuine opportunities, please apply only through our official career sites: Nextiva Careers & Nextiva Jobs on LinkedIn.

#LI-MM1  #LI-HYBRID

Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we’re the future of customer experience and team collaboration through our AI-powered, conversation-centric platform.

Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.

As Solution Consultant, you will be the technical partner of our account executives in France and Belgium. You are the person who translates client needs into concrete solutions built on top of the PriceHubble platform, then delivers them end-to-end.

The role combines:

• Client-facing consulting and solution design (approx. 50%): working alongside account executives to understand client needs, demo the product, scope custom solutions, and communicate clearly with non-technical stakeholders
• Hands-on solution delivery (approx. 50%): configuring, building, and integrating the solutions you scoped, using our stack of APIs, internal and external no-code tools, and automation platforms

Unlike our enterprise track, where a Solution Consultant works in a trinome with an account executive and a dedicated project manager, this role means owning your own project management. You are your own captain: you scope, you build, you deliver, you communicate.

Customer-facing solution design

• Support account executives during discovery and demo calls: explain technical concepts in an accessible way to non-technical audiences
• Analyse business requirements and translate them into structured technical solutions
• Present, defend, and iterate on solutions with clients across French and Belgian markets
• Bring an eye for detail and quality to everything client-facing: microsites, branded pages, reports, communication assets

Hands-on solution delivery

• With Designer support, configure and adapt PriceHubble solutions (property valuation portals, lead engines, ownership dashboards) to client branding and specific needs, using our internal no-code tool Page Builder
• Build API integrations between PriceHubble services and client systems (CRM, forms, portals)
• Wire automation workflows using tools such as n8n or ActivePieces (webhooks, lead routing, notifications, engagement triggers)
• Structure data flows, dossiers, and custom records within the PriceHubble platform
• Test, iterate, and ship: your work goes live to real end users, and you own its quality

Project ownership

• Own project scope, timeline, and delivery for the accounts you support - you are your own project manager

• Coordinate with internal teams (product, engineering, design) to deliver on time and to standard

• Ensure scalability, maintainability, and GDPR compliance across your builds

• Handover finished projects to customer success cleanly, with documentation

• 2-3 years of experience in a Solution Consultant, Technical Project Manager, Sales Engineer, Technical Account Manager, or similar client-facing technical role

• You’re equally comfortable in French and English, close to native level in both. This isn’t a nice-to-have: you’ll be switching between the two every day

• Comfortable presenting to clients and explaining technical topics to non-technical stakeholders in a clear and confident way

• Basic to intermediate technical foundation: you can read API documentation, understand JSON, work with structured data objects, and follow how systems talk to each other

• Exposure to no-code or low-code tools (any of: Bubble, Webflow, Airtable, Notion, Zapier, Make, n8n, ActivePieces, Retool)

• An eye for design, quality, and detail: pixel-perfect matters when you build the customer-facing pages

• Organised, reliable, and comfortable owning your own project management without a dedicated PM

• Well-presented and professional in client-facing settings

Preferred

• Experience with automation platforms (n8n, ActivePieces, Zapier, Make)

• Exposure to AI or LLM-powered workflows (autonomous agents, MCP, voice agents)

• Familiarity with CRM systems (Salesforce, HubSpot) and how to integrate with them

• Understanding of JSON, REST APIs, webhooks, OAuth, and basic HTTP concepts

• Experience in SaaS, proptech, fintech, real estate, or data platforms

• A personal side project or portfolio showing you are a builder

• A CDI and a role with real ownership: you own your accounts, your projects, and your outcomes

• Exposure to modern data platforms, AI-driven workflows, and automation technologies

• Close collaboration with product, engineering, design, and commercial teams across Europe

• An international, fast-growing SaaS environment where you can learn quickly and grow into more senior technical or PM role and professional development opportunities

Consequential Work. Dedicated People.

About Onebrief

Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination.

Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real.

We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world.

Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth.

WHY THIS ROLE EXISTS

As a Staff Simulation Data Modeler at Onebrief, you own the ground truth that AtomEngine’s entire simulation stands on.

AtomEngine is our proprietary, cloud-based game engine that makes the world playable to solve real-world military problems — and every scenario it runs is only as credible as the entities inside it. You’ll build and defend that credibility: directing AI agents to research and construct entities at scale, codifying the standards and formulas that make and keep the catalog accurate, and stress-testing your own assumptions in competitive wargames before a customer ever finds the gap.

As a Simulation Data Modeler you own the AtomEngine entity catalog end to end — not just the entities themselves, but the sources, the standards, parametric formulas, tooling, and test coverage that make them credible. You’ll direct AI agents to do the bulk of first-pass research, data entry, and testing at scale, while you focus on the judgment calls: what “right” looks like, where the catalog is weakest, and how to prove it’s correct. You’ll partner closely with Customer Relations to prioritize what gets built next, with Engineering to automate testing, and with other Content Creators in competitive wargames designed to break your own assumptions before a customer does.

Key Responsibilities

Catalog strategy & prioritization

• Lead catalog strategy across multiple catalog segments. Build and maintain a structured catalog of all entities to be created across all service branches, nations, and eras — tracking completion, freshness, and data confidence for each segment.

• Partner with Customer Relations to translate customer and field feedback into a prioritized roadmap for which catalog segments matter most right now.

Standards & tradecraft

• Research the sources and codify the governing principles that any agent (human or AI) must follow when building entities.

• Research and adopt or develop defensible formulas for weapon effects, sensor effects, fuel burn, survivability, and other performance models; make calls on when to adapt existing precedent versus build an original model from scratch; defend those models directly to customers and SMEs. Partner with Engineering on implementation.

• Create & maintain a trusted network of subject matter experts you can pull in to ground the toughest modeling calls in real-world judgment.

Agent-directed production

• Use modern agentic AI workflows as your primary force multiplier: design prompts, review loops, and guardrails that other analysts and their agents adopt to handle first-draft research, data entry, and documentation at scale, while you supervise for accuracy and catch what they miss.

• Envision and define requirements for tools that accelerate the team’s workflow further, and partner with Engineering to help build them.

Verification, validation & accreditation (VV&A)

• Lead the ongoing VV&A across multiple catalog segments: is it accurate, is it tested, and can you prove it.

• Direct which automated test batteries get built and why, partnering with Engineering to design and implement automated tests that run continuously against the content catalog, catching regressions and inconsistencies before they reach customers.

• Organize and run competitive wargames against other Simulation Content Creators and Customer Relations to stress-test your own entities and assumptions, using the results to validate or correct parametric data.

• Continually interrogate the catalog and drive its ongoing improvement.

Knowledge & documentation

• Lead documentation standards across the team, and author internal and external-facing knowledge articles that defensibly explain the model’s logic and sourcing to “show your work” so customers and internal teams trust the numbers.

• Train and mentor other analysts on the tradecraft, rubrics, and VV&A methods you’ve established.

Minimum Qualifications

• Strong research and analytical skills, with the judgment to make sound assumptions when source data is incomplete or conflicted.

• Demonstrated ability to direct AI agents productively, writing clear instructions, structuring review checkpoints, and catching agent errors, rather than doing all research and data entry by hand.

• Comfort with quantitative modeling: you can reason about and sanity-check formulas for things like weapon effects, fuel consumption, or survivability, even if you’re not writing production code yourself.

• Strong organizational skills: you can build and maintain a catalog/tracking system spanning hundreds of items without losing the thread on what’s fresh, what’s stale, and what’s next.

• Concise, effective written and verbal communication — you’ll be authoring standards documents and knowledge articles that other people and agents must be able to follow exactly.

• A wargamer’s mindset: you care whether the simulation is right, not just whether it runs.

• Comfortable serving as the escalation point for contested technical calls, and defending those calls directly to customers or subject matter experts.

Preferred Qualifications

• Experience with game modding tools, editors, or simulation authoring environments (hobbyist or professional).

• Experience partnering with engineering on test automation or QA tooling.

• Familiarity with military doctrine, force structure, or platform performance data.

• Experience with version control and bug-tracking systems.

• Experience mentoring, training, or setting technical standards adopted by other analysts or contributors.

Note that this role will evolve as modern workflows continue to.

Notice to Third Party Recruitment Agencies

Please note that Onebrief does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement Onebrief explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Onebrief.

Headquarters: Denver, CO - Hybrid; Phoenix, AZ - Remote

 

About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

 
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

 
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

We’re hiring an Operations Lead, internally named Labs Lead, to build and run Benefits Labs, the system that governs how Gusto’s Benefits organization tests, validates, and scales operational change.

You will own the full Labs lifecycle, including intake, pilot design, execution governance, measurement, and recommendations to leadership. This is not a traditional program or operations role. Your responsibility is to build and operate the system that runs Labs.

This role is AI-native. You will design and run the agents, automations, and workflows that power how work is triaged, how pilots are executed, and how evidence is generated and synthesized. The goal is to create a system that can run many pilots in parallel with high quality and minimal manual intervention.

Your impact is measured by leverage: how much work the system can handle without you, how quickly the organization can test and scale changes, and how clearly leadership can make decisions based on evidence.

Benefits Labs sits within Benefits Business Operations today. You will be the founding operator, reporting to the Head of Benefits Business Operations, and will directly shape how this function evolves, including its future scope, structure, and investment.

About the Team:

Benefits Business Operations is responsible for how Gusto’s Benefits business improves and scales. The team operates across three domains: Automation, Carrier, and Quality, each focused on improving different parts of the operational system.

Labs sits across these domains as the governance layer for operational change. It ensures ideas are tested rigorously, measured consistently, and scaled intentionally. Labs partners closely with org leadership, product, engineering, and transformation teams to turn strategy into execution and build systems that improve how the business operates.

Here’s what you’ll do day-to-day:

You will operate and continuously improve the system that governs operational change across Benefits.

• Own intake and triage: Run the AI-powered intake system that classifies, routes, and prepares incoming work. Determine the right path for each request and improve the system over time.
• Run pilot governance: Ensure every pilot follows a clear structure with defined success metrics, checkpoints, and outputs. Use AI-driven workflows to manage execution and produce recommendations to scale, iterate, or stop.
• Raise design quality: Pressure-test hypotheses, refine success criteria, and hold Pilot Leads accountable to standards. Improve the quality of work across the system without taking ownership away from teams.
• Build and improve the system: Extend the existing agent and automation architecture across the Labs lifecycle, including intake routing, workflow execution, evidence synthesis, and readout generation. Increase speed, scope, and reliability over time.
• Solve systemic problems: Identify inefficiencies in how operational change moves through the organization and convert repeatable problems into scalable, AI-powered workflows.
• Drive decision-making: Develop analytical approaches and produce clear, evidence-based narratives that align stakeholders across product and CX and influence leadership decisions.
• Lead cross-functional work: Own coordination across product, engineering, operations, enablement, and business partners. Manage complexity, align stakeholders, and deliver measurable outcomes.
• Create clarity in ambiguity: Lead discussions on complex operational and product topics, helping teams converge on decisions and next steps.
• Produce leadership-ready outputs: Deliver structured readouts, post-mortems, and recommendations using AI to generate and validate evidence efficiently.
• Shape the future of Labs: Use what you build and learn to inform the long-term operating model, team structure, and investment strategy for Benefits Labs.
• Raise the bar for others: Coach Pilot Leads and BizOps partners on AI-powered ways of working and hold a high standard for execution quality.

Here’s what we're looking for:

• Proven ownership: You’ve owned outcomes across complex, cross-functional work and consistently delivered results end-to-end.
• AI-native builder (core requirement): You don’t just use AI tools. You build with them. You’ve designed and deployed AI agents, automations, or workflows that execute multi-step work, and you’ve measured the leverage created. This is required for success in this role.
• Systems thinker: You identify root causes at the process level and build solutions that scale. You improve how teams operate, not just your own output.
• Strong data fluency: You can structure problems, define success metrics, and turn data into clear, decision-driving narratives.
• Operator + coach: You raise the quality of work around you through direct feedback, clear standards, and accountability.
• Cross-functional leader: You’ve led initiatives across product, engineering, and operations and can drive alignment without direct authority.
• Comfort with ambiguity: You create structure where none exists and move work forward without perfect information.

Minimum experience:
4+ years in operations, program management, or business operations in a SaaS, technology, or operationally complex environment.

Bonus:
Experience in benefits, insurance, or brokerage operations. Experience working with operational metrics (e.g., cycle time, quality, throughput). Direct experience building or managing AI agents in a production or operational context.

Our cash compensation amount for this role is $98,725/year to $116,000/year in Denver & most major metro locations, and $114,285/year to $140,000/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

To apply: https://weworkremotely.com/remote-jobs/gusto-inc-benefits-operations-lead