Read company-direct job boards from four ATS providers in one schema
The ATS Job Boards API returns company-direct job postings pulled straight from applicant-tracking systems (Greenhouse, Lever and more) as clean JSON.
4 active endpoints. Every call is 1 credit.
- POST/ats-jobs/v1/company_jobs
- POST/ats-jobs/v1/job_detail
- POST/ats-jobs/v1/search
- POST/ats-jobs/v1/providers
What Company Job Boards endpoints does ReefAPI ship?
4 live read endpoints. Read-only data API: no writes, no account actions, no dashboard access on the target site.
Company Job Boards API
3 of 4 endpoints, ready to run
Every open role on one company's board, from the board itself. No paging: the whole thing comes back in a single call.
{ "ok": true, "meta": { "api": "ats-jobs", "endpoint": "company_jobs", "mode": "live", "latency_ms": 567.6, "record_count": 50, "cache_hit": false, "completeness_pct": 83.3 }, "data": { "jobs": [ { "id": "8503792002", "title": "Account Executive - Italy", "url": "https://job-boards.greenhouse.io/gitlab/jobs/8503792002", "ats_source": "greenhouse", "company": "GitLab", "location": "Remote, Italy", "locations": [ "Italy" ], "department": "EMEA - Commercial", "team": null, "employment_type": null, "remote": true, "workplace_type": "remote", "posted_date": "2026-04-17T05:58:03-04:00", "updated_date": "2026-08-10T16:52:46-04:00", "requisition_id": "6263", "apply_url": "https://job-boards.greenhouse.io/gitlab/jobs/8503792002#app", "compensation": null, "description_html": "<div class=\"content-intro\"><p>GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.</p>\n<p>The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href=\"https://www.youtube.com/watch?v=OuZIb5zszQI\">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p>\n<p>*<em>Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.</em></p></div><h2>An overview of this role</h2>\n<p>As an Account Executive, you’ll be the primary connection between GitLab and customers, working with organizations of up to 4,000 team members to help them adopt and expand the world’s most comprehensive AI-powered DevSecOps platform. You’ll own a broad book of business across a wide range of opportunity sizes, guiding small, fast-growing teams as well as more complex projects as they modernize their software delivery with GitLab. Reporting to a Regional Sales Director and partnering closely with business development, marketing, and technical teams, you’ll run the full sales process: shaping the customer’s journey, documenting buying criteria and processes, ensuring accurate pipeline based on evidence, and sharing root-cause insights on wins and losses. In your first year, you’ll focus on building trusted relationships, delivering meaningful business outcomes for customers, and being the voice of the customer internally by contributing ideas to our public issue tracker and improving our sales handbook.</p>\n<h2>What you’ll do</h2>\n<ul>\n<li value=\"1\">Report to a Regional Sales Director and own a broad book of business, from new prospects to growing existing accounts.</li>\n<li value=\"2\">Manage the full sales cycle for prospects, from discovery and solution alignment through negotiation and close.</li>\n<li value=\"3\">Support GitLab for prospects by clearly articulating our DevSecOps value proposition and aligning it to customer business outcomes.</li>\n<li value=\"4\">Analyze wins and losses, contribute to root cause analyses, and share lessons learned with account managers, marketing, and technical teams.</li>\n<li value=\"5\">Document and maintain accurate buying criteria, buying processes, next steps, and owners to ensure a reliable, evidence-based pipeline.</li>\n<li value=\"6\">Contribute to improving our sales handbook and processes by documenting best practices and opportunities for refinement.</li>\n<li value=\"7\">Provide account leadership and direction across pre- and post-sales, partnering closely with technical teams and customer success.</li>\n<li value=\"8\">Represent the voice of the customer by contributing product feedback and ideas to our public issue tracker.</li>\n</ul>\n<h2>What you’ll bring</h2>\n<ul>\n<li value=\"1\">Proven success in software sales, ideally in a Commercial market context, managing a varied book of business.</li>\n<li value=\"2\">Ability to guide customers through the full buying journey, including defining buying criteria, mapping buying processes, and driving clear next steps.</li>\n<li value=\"3\">Effective communication and interpersonal skills to collaborate with business development, marketing, technical teams, and sales management.</li>\n<li value=\"4\">Experience documenting and maintaining accurate pipeline data and account plans based on evidence rather than assumptions.</li>\n<li value=\"5\">Skill in conducting and contributing to win/loss and root cause analyses, and sharing insights to improve team performance and processes.</li>\n<li value=\"6\">Proficiency in negotiation, presenting to customer stakeholders, and leading commercial discussions to close opportunities.</li>\n<li value=\"7\">Interest in GitLab, open source software, and preferably familiarity with Git, software development tools, or application lifecycle management.</li>\n<li value=\"8\">Alignment with GitLab’s values and an interest in contributing from diverse or transferable sales backgrounds, with willingness to travel in line with company policy.</li>\n<li value=\"9\">Fluent Italian language skills (required).</li>\n</ul>\n<h2>About the team</h2>\n<p><br>The Mid-market Sales team focuses on helping growing organizations adopt and expand GitLab’s AI-powered DevSecOps platform across their software delivery lifecycle. You’ll join a distributed group of Account Executives, sales managers, and business development team members who collaborate asynchronously across regions to manage a broad book of business in the mid-market segment. We partner closely with marketing, sales development, and technical teams to run an efficient, transparent sales process, document what works in our sales handbook, and represent the voice of the customer back into GitLab. We focus on opportunities like supporting customers through toolchain consolidation, driving platform adoption, and sharing learnings from wins and losses to continuously improve how we sell and support GitLab.</p>\n<p> </p><div class=\"content-conclusion\"><h4><strong>How GitLab Supports Full-Time Employees</strong></h4>\n<ul>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/\">Benefits to support your health, finances, and well-being</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto\">Flexible Paid Time Off </a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/\">Team Member Resource Groups</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/total-rewards/stock-options/\">Equity Compensation & Employee Stock Purchase Plan</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/\">Growth and Development Fund</a></li>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave\">Parental Leave</a> </li>\n</ul>\n<p>Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from <a href=\"https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups\">underrepresented groups</a> are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.</p>\n<hr>\n<p><strong>Country Hiring Guidelines: </strong>GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. </p>\n<p><strong>Privacy Policy: </strong>Please review our <a href=\"https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/\" target=\"_blank\">Recruitment Privacy Policy.</a> Your privacy is important to us.</p>\n<p>GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy\" target=\"_blank\">GitLab’s EEO Policy</a> and <a href=\"https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices\" target=\"_blank\">EEO is the Law</a>. If you have a disability or special need that requires <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation\" target=\"_blank\">accommodation</a>, please let us know during the <a href=\"https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process\" target=\"_blank\">recruiting process</a>.</p></div>", "description_text": "GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n\n*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.\n\nAn overview of this role\n\nAs an Account Executive, you’ll be the primary connection between GitLab and customers, working with organizations of up to 4,000 team members to help them adopt and expand the world’s most comprehensive AI-powered DevSecOps platform. You’ll own a broad book of business across a wide range of opportunity sizes, guiding small, fast-growing teams as well as more complex projects as they modernize their software delivery with GitLab. Reporting to a Regional Sales Director and partnering closely with business development, marketing, and technical teams, you’ll run the full sales process: shaping the customer’s journey, documenting buying criteria and processes, ensuring accurate pipeline based on evidence, and sharing root-cause insights on wins and losses. In your first year, you’ll focus on building trusted relationships, delivering meaningful business outcomes for customers, and being the voice of the customer internally by contributing ideas to our public issue tracker and improving our sales handbook.\n\nWhat you’ll do\n\nReport to a Regional Sales Director and own a broad book of business, from new prospects to growing existing accounts.\n\nManage the full sales cycle for prospects, from discovery and solution alignment through negotiation and close.\n\nSupport GitLab for prospects by clearly articulating our DevSecOps value proposition and aligning it to customer business outcomes.\n\nAnalyze wins and losses, contribute to root cause analyses, and share lessons learned with account managers, marketing, and technical teams.\n\nDocument and maintain accurate buying criteria, buying processes, next steps, and owners to ensure a reliable, evidence-based pipeline.\n\nContribute to improving our sales handbook and processes by documenting best practices and opportunities for refinement.\n\nProvide account leadership and direction across pre- and post-sales, partnering closely with technical teams and customer success.\n\nRepresent the voice of the customer by contributing product feedback and ideas to our public issue tracker.\n\nWhat you’ll bring\n\nProven success in software sales, ideally in a Commercial market context, managing a varied book of business.\n\nAbility to guide customers through the full buying journey, including defining buying criteria, mapping buying processes, and driving clear next steps.\n\nEffective communication and interpersonal skills to collaborate with business development, marketing, technical teams, and sales management.\n\nExperience documenting and maintaining accurate pipeline data and account plans based on evidence rather than assumptions.\n\nSkill in conducting and contributing to win/loss and root cause analyses, and sharing insights to improve team performance and processes.\n\nProficiency in negotiation, presenting to customer stakeholders, and leading commercial discussions to close opportunities.\n\nInterest in GitLab, open source software, and preferably familiarity with Git, software development tools, or application lifecycle management.\n\nAlignment with GitLab’s values and an interest in contributing from diverse or transferable sales backgrounds, with willingness to travel in line with company policy.\n\nFluent Italian language skills (required).\n\nAbout the team\n\nThe Mid-market Sales team focuses on helping growing organizations adopt and expand GitLab’s AI-powered DevSecOps platform across their software delivery lifecycle. You’ll join a distributed group of Account Executives, sales managers, and business development team members who collaborate asynchronously across regions to manage a broad book of business in the mid-market segment. We partner closely with marketing, sales development, and technical teams to run an efficient, transparent sales process, document what works in our sales handbook, and represent the voice of the customer back into GitLab. We focus on opportunities like supporting customers through toolchain consolidation, driving platform adoption, and sharing learnings from wins and losses to continuously improve how we sell and support GitLab.\n\n \nHow GitLab Supports Full-Time Employees\n\nBenefits to support your health, finances, and well-being\n\nFlexible Paid Time Off \n\nTeam Member Resource Groups\n\nEquity Compensation & Employee Stock Purchase Plan\n\nGrowth and Development Fund\n\nParental Leave \n\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\n\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. \n\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.\n\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.", "company_slug": "gitlab", "location_parsed": { "remote": true, "city": "Italy", "country": "Italy" }, "is_new": false, "is_active": true }, { "id": "8556658002", "title": "AI Engineer", "url": "https://job-boards.greenhouse.io/gitlab/jobs/8556658002", "ats_source": "greenhouse", "company": "GitLab", "location": "Remote, Bangalore", "locations": [ "India" ], "department": "Enterprise Applications", "team": null, "employment_type": null, "remote": true, "workplace_type": "remote", "posted_date": "2026-05-22T09:16:29-04:00", "updated_date": "2026-08-11T08:18:18-04:00", "requisition_id": "6401", "apply_url": "https://job-boards.greenhouse.io/gitlab/jobs/8556658002#app", "compensation": null, "description_html": "<div class=\"content-intro\"><p>GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.</p>\n<p>The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href=\"https://www.youtube.com/watch?v=OuZIb5zszQI\">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p>\n<p>*<em>Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.</em></p></div><h2><strong>An overview of this role</strong></h2>\n<p>As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.</p>\n<p>Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.</p>\n<p>Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.</p>\n<h2><strong>What you'll do</strong></h2>\n<ul>\n<li>Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say \"this doesn't need AI\" when that's the honest answer.</li>\n<li>Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.</li>\n<li>Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.</li>\n<li>Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.</li>\n<li>Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.</li>\n<li>Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.</li>\n<li>Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.</li>\n<li>Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.</li>\n<li>Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.</li>\n</ul>\n<h2><strong>What you'll bring</strong></h2>\n<ul>\n<li><strong>A Technologist at Heart - </strong>Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.</li>\n<li><strong>Competent, Confident Coding Skills - </strong>You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.</li>\n<li><strong>AI</strong><strong> & LLM </strong><strong>Technical Depth - </strong>Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.</li>\n<li><strong>Model selection and cost-performance trade-offs: </strong>understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.</li>\n<li><strong>Agentic architecture patterns: </strong>tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.</li>\n<li><strong>AI Safety & Risk Awareness - </strong>You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.</li>\n<li><strong>Systems Thinking & Diagnostic Rigour - </strong>The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask \"what's actually blocking flow here?\" before asking \"what model should I use?\"</li>\n<li><strong>Business System Expertise - </strong>Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.</li>\n<li><strong>Broad Functional Understanding - </strong>Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.</li>\n<li><strong>End-to-End Ownership - </strong>Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.</li>\n<li><strong>Product Mindset - </strong>Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.</li>\n</ul>\n<p> </p>\n<p><strong>Preferred requirements</strong></p>\n<ul>\n<li>Experience with GitLab platform and CI/CD workflows</li>\n<li>Background in consulting, solutions engineering, or customer-facing technical roles</li>\n<li>Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking</li>\n<li>Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development</li>\n<li>Previous startup or high-growth company experience</li>\n<li>Experience mentoring or leading technical projects with junior engineers</li>\n</ul>\n<h2><strong>About the team</strong></h2>\n<p>You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.</p>\n<p>We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.</p><div class=\"content-conclusion\"><h4><strong>How GitLab Supports Full-Time Employees</strong></h4>\n<ul>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/\">Benefits to support your health, finances, and well-being</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto\">Flexible Paid Time Off </a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/\">Team Member Resource Groups</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/total-rewards/stock-options/\">Equity Compensation & Employee Stock Purchase Plan</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/\">Growth and Development Fund</a></li>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave\">Parental Leave</a> </li>\n</ul>\n<p>Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from <a href=\"https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups\">underrepresented groups</a> are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.</p>\n<hr>\n<p><strong>Country Hiring Guidelines: </strong>GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. </p>\n<p><strong>Privacy Policy: </strong>Please review our <a href=\"https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/\" target=\"_blank\">Recruitment Privacy Policy.</a> Your privacy is important to us.</p>\n<p>GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy\" target=\"_blank\">GitLab’s EEO Policy</a> and <a href=\"https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices\" target=\"_blank\">EEO is the Law</a>. If you have a disability or special need that requires <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation\" target=\"_blank\">accommodation</a>, please let us know during the <a href=\"https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process\" target=\"_blank\">recruiting process</a>.</p></div>", "description_text": "GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n\n*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.\n\nAn overview of this role\n\nAs an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.\n\nBuilding fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.\n\nYour initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.\n\nWhat you'll do\n\nDiagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say \"this doesn't need AI\" when that's the honest answer.\n\nOwn AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.\n\nDesign, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.\n\nImprove organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.\n\nIntegrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.\n\nBe Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.\n\nPartner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.\n\nDefine and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.\n\nContribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.\n\nWhat you'll bring\n\nA Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.\n\nCompetent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.\n\nAI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.\n\nModel selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.\n\nAgentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.\n\nAI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.\n\nSystems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask \"what's actually blocking flow here?\" before asking \"what model should I use?\"\n\nBusiness System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.\n\nBroad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.\n\nEnd-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.\n\nProduct Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.\n\n \n\nPreferred requirements\n\nExperience with GitLab platform and CI/CD workflows\n\nBackground in consulting, solutions engineering, or customer-facing technical roles\n\nFamiliarity with value stream mapping, flow metrics, or Theory of Constraints thinking\n\nExperience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development\n\nPrevious startup or high-growth company experience\n\nExperience mentoring or leading technical projects with junior engineers\n\nAbout the team\n\nYou will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.\n\nWe believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.\nHow GitLab Supports Full-Time Employees\n\nBenefits to support your health, finances, and well-being\n\nFlexible Paid Time Off \n\nTeam Member Resource Groups\n\nEquity Compensation & Employee Stock Purchase Plan\n\nGrowth and Development Fund\n\nParental Leave \n\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\n\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. \n\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.\n\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.", "company_slug": "gitlab", "location_parsed": { "remote": true, "city": "Bangalore" }, "is_new": false, "is_active": true }, { "id": "8638232002", "title": "AI Transformation Owner, CRO", "url": "https://job-boards.greenhouse.io/gitlab/jobs/8638232002", "ats_source": "greenhouse", "company": "GitLab", "location": "Remote, United States", "locations": [ "Remote, United States" ], "department": "Enablement", "team": null, "employment_type": null, "remote": true, "workplace_type": "remote", "posted_date": "2026-07-22T13:38:40-04:00", "updated_date": "2026-08-10T16:52:46-04:00", "requisition_id": "6682", "apply_url": "https://job-boards.greenhouse.io/gitlab/jobs/8638232002#app", "compensation": null, "description_html": "<div class=\"content-intro\"><p>GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.</p>\n<p>The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href=\"https://www.youtube.com/watch?v=OuZIb5zszQI\">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p>\n<p>*<em>Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.</em></p></div><h4><strong>An overview of this role</strong></h4>\n<p>The AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight.</p>\n<p>This role reports to the Vice President, Enablement & AI.</p>\n<p><strong>What You’ll Do</strong> </p>\n<ul>\n<li><strong>AI Enablement Roadmap:</strong> Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy..</li>\n<li><strong>AI Field Use Cases:</strong> Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact.</li>\n<li><strong>AI Field Champions: </strong>build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst.</li>\n</ul>\n<ul>\n<li><strong>Ops Transformation Plan:</strong> Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks.</li>\n<li><strong>AI Governance:</strong> Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy.</li>\n</ul>\n<p><strong>What You’ll Bring </strong></p>\n<ul>\n<li><strong>Mid-Senior Experience:</strong> Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end.</li>\n<li><strong>AI Solutions Experience:</strong> Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation).</li>\n<li><strong>Cross-Functional Fluency:</strong> Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa.</li>\n<li><strong>Self-Sufficiency:</strong> Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction.</li>\n<li><strong>Organization & Execution:</strong> Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details.</li>\n<li><strong>Innovative Mindset:</strong> A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype.</li>\n<li><strong>Enablement/Sales Background:</strong> Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them.</li>\n<li><strong>GitLab Values Alignment:</strong> Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team.</p>\n<h4><strong>How GitLab will support you</strong></h4>\n<ul>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/\" target=\"_blank\">Benefits to support your health, finances, and well-being</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/paid-time-off/\" target=\"_blank\">Flexible Paid Time Off</a> </li>\n<li><a href=\"https://about.gitlab.com/company/culture/inclusion/erg-guide/#:~:text=Definition%20of%20the%20TMRG%20%2D%20Team%20Member%20Resource%20Groups,-TMRGs%20are%20voluntary&text=The%20purpose%20for%20this%20type,developing%20the%20sense%20of%20belonging.\" target=\"_blank\">Team Member Resource Groups</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/total-rewards/stock-options/\" target=\"_blank\">Equity Compensation & Employee Stock Purchase Plan</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/\" target=\"_blank\">Growth and Development Fund</a></li>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave\" target=\"_blank\">Parental leave</a> </li>\n<li><a href=\"https://handbook.gitlab.com/handbook/finance/expenses/#equipment\" target=\"_blank\">Home office</a> support</li>\n</ul>\n<p>Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from <a href=\"https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups\">underrepresented groups</a> are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.</p><div class=\"content-pay-transparency\"><div class=\"pay-input\"><div class=\"description\"><p><em>The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our <a class=\"waffle-rich-text-link\" href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/\" data-sheets-formula-bar-text-link=\"https://bit.ly/GLBeneUS\" data-sheets-formula-bar-text-style=\"font-size:12px;color:#1155cc;font-weight:normal;text-decoration:underline;font-family:''Arial'';font-style:normal;text-decoration-skip-ink:none;\">benefits</a><span data-sheets-formula-bar-text-style=\"font-size:12px;color:#000000;font-weight:normal;text-decoration:none;font-family:'Arial';font-style:normal;text-decoration-skip-ink:none;\"> and </span><a class=\"waffle-rich-text-link\" href=\"https://about.gitlab.com/handbook/stock-options/\" data-sheets-formula-bar-text-link=\"https://bit.ly/GLequity\" data-sheets-formula-bar-text-style=\"font-size:12px;color:#1155cc;font-weight:normal;text-decoration:underline;font-family:''Arial'';font-style:normal;text-decoration-skip-ink:none;\">equity</a>. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.</em></p></div><div class=\"title\">United States Salary Range</div><div class=\"pay-range\"><span>$139,200</span><span class=\"divider\">—</span><span>$235,200 USD</span></div></div></div><div class=\"content-conclusion\"><h4><strong>How GitLab Supports Full-Time Employees</strong></h4>\n<ul>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/\">Benefits to support your health, finances, and well-being</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/time-off-and-absence/time-off-types/#flexible-paid-time-off-pto\">Flexible Paid Time Off </a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/company/culture/inclusion/tmrg-tmag/\">Team Member Resource Groups</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/total-rewards/stock-options/\">Equity Compensation & Employee Stock Purchase Plan</a></li>\n<li><a href=\"https://handbook.gitlab.com/handbook/people-group/learning-and-development/growth-and-development/\">Growth and Development Fund</a></li>\n<li><a href=\"https://about.gitlab.com/handbook/total-rewards/benefits/general-and-entity-benefits/#parental-leave\">Parental Leave</a> </li>\n</ul>\n<p>Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from <a href=\"https://about.gitlab.com/company/culture/inclusion/#examples-of-select-underrepresented-groups\">underrepresented groups</a> are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.</p>\n<hr>\n<p><strong>Country Hiring Guidelines: </strong>GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. </p>\n<p><strong>Privacy Policy: </strong>Please review our <a href=\"https://handbook.gitlab.com/handbook/hiring/candidate-faq/recruitment-privacy-policy/\" target=\"_blank\">Recruitment Privacy Policy.</a> Your privacy is important to us.</p>\n<p>GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#equal-employment-opportunity-policy\" target=\"_blank\">GitLab’s EEO Policy</a> and <a href=\"https://about.gitlab.com/handbook/labor-and-employment-notices/#eeoc-us-equal-employment-opportunity-commission-notices\" target=\"_blank\">EEO is the Law</a>. If you have a disability or special need that requires <a href=\"https://about.gitlab.com/handbook/people-policies/inc-usa/#reasonable-accommodation\" target=\"_blank\">accommodation</a>, please let us know during the <a href=\"https://about.gitlab.com/handbook/hiring/interviewing/#adjustments-to-our-interview-process\" target=\"_blank\">recruiting process</a>.</p></div>", "description_text": "GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n\nThe same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n\n*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.\n\nAn overview of this role\n\nThe AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight.\n\nThis role reports to the Vice President, Enablement & AI.\n\nWhat You’ll Do \n\nAI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy..\n\nAI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact.\n\nAI Field Champions: build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst.\n\nOps Transformation Plan: Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks.\n\nAI Governance: Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy.\n\nWhat You’ll Bring \n\nMid-Senior Experience: Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end.\n\nAI Solutions Experience: Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation).\n\nCross-Functional Fluency: Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa.\n\nSelf-Sufficiency: Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction.\n\nOrganization & Execution: Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details.\n\nInnovative Mindset: A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype.\n\nEnablement/Sales Background: Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them.\n\nGitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook.\n\nAbout the team\n\nThe Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team.\n\nHow GitLab will support you\n\nBenefits to support your health, finances, and well-being\n\nFlexible Paid Time Off \n\nTeam Member Resource Groups\n\nEquity Compensation & Employee Stock Purchase Plan\n\nGrowth and Development Fund\n\nParental leave \n\nHome office support\n\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\nThe base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.\n\nUnited States Salary Range\n$139,200—$235,200 USD\n\nHow GitLab Supports Full-Time Employees\n\nBenefits to support your health, finances, and well-being\n\nFlexible Paid Time Off \n\nTeam Member Resource Groups\n\nEquity Compensation & Employee Stock Purchase Plan\n\nGrowth and Development Fund\n\nParental Leave \n\nPlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.\n\nCountry Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. \n\nPrivacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.\n\nGitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.", "company_slug": "gitlab", "salary": { "min": 139200, "max": 235200, "currency": "USD", "source": "description" }, "location_parsed": { "remote": true, "city": "United States", "country": "United States" }, "is_new": false, "is_active": true } ], "count": 50, "total": 219, "company": "gitlab", "ats_source": "greenhouse" } }
How the Company Job Boards API works
Company Job Boards is a normal ReefAPI surface — the same four rules that hold for every other engine on the key.
No OAuth app, no request signing, no per-site account. One key covers all 184 engines.
Every route is a POST with a JSON body. Parameters are validated against the published schema before anything is charged.
Credits, not seats. Failed and blocked calls are never charged, and cache hits cost nothing.
One envelope everywhere. meta carries latency_ms, record_count and the endpoint that answered.
Skip the aggregator and read the employer's own board
An aggregator row is a copy with a redirect on the end of it. A board row is the employer's own record, with the employer's own apply link and its own requisition id — which is what you want if you are deduplicating, or if you care whether a role is actually still open.
{"ats": "greenhouse", "company": "gitlab"}217 open roles came back in one call, in two seconds, with no cursor. A second board on a different provider returned 89 the same way.
{"ats": "greenhouse", "company": "gitlab", "job_id": "<jobs[].id>"}Adds the full description, and carries posted_date and updated_date as separate ISO timestamps — so you can tell a repost from a genuinely new role.
The employer's own board, in one shape across four providers, with an apply_url that points at the employer rather than at a redirect.
curl -X POST https://api.reefapi.com/ats-jobs/v1/company_jobs \
-H "x-api-key: $REEF_KEY" \
-H "content-type: application/json" \
-d '{"ats":"greenhouse","company":"gitlab"}'{
"ok": true,
"data": { … },
"meta": {
"api": "ats-jobs",
"endpoint": "company_jobs",
"mode": "live",
"latency_ms": …,
"record_count": …
},
"error": null
}The four providers, what to pass as company, and what each id looks like
The providers action returns exactly four keys and they do not behave the same way. Three of them serve one company's board; the fourth is a cross-company index and is the only one the search action accepts. Job ids are shaped differently per provider and mean nothing outside their own board. The table was measured on greenhouse/gitlab, lever/spotify, ashby/ramp and a workable search for 'python engineer'.
| ats | What to pass as company | jobs[].id shape | What we measured |
|---|---|---|---|
| greenhouse | The board token from the job-board URL, e.g. 'gitlab' | 10-digit numeric string: 8503792002, 8556658002 | company_jobs returned total 219. requisition_id is filled ('6263'); compensation was null. |
| lever | The org slug, e.g. 'spotify' | Lowercase UUID: a0fa7da3-4c3c-4fa2-97bd-7d6eb01eb9e5 | total 90. employment_type 'full_time' and team ('Advertising R&D') filled; compensation null. |
| ashby | The org slug, e.g. 'ramp' | Lowercase UUID: 34413f8d-26bf-4bbc-8ade-eb309a0e2245 | total 134, and the only provider that returned pay: compensation{} plus salary{min:211400, max:290600, currency:'USD', source:'structured'}. |
| workable | Use the search action rather than company_jobs | 22-character base62 code: oUJx9skkD6SnA9zEFabpod | search 'python engineer' reported total 2226. company_jobs against Workable account slugs returned ok:true with total 0 in every test. |
| posted_date | (all providers) | ISO-8601, but the flavor differs | Greenhouse carries a US-Eastern offset ('2026-04-17T05:58:03-04:00'), Lever and Ashby are UTC with sub-second precision, Workable ends in 'Z'. Normalize before sorting across boards. |
| count vs total | (all providers) | Two different numbers | count is the rows in this response, total is the size of the whole board or result set. limit=3 on gitlab gave count 3 and total 219. |
| company echo | (all providers) | Not always what you passed | Greenhouse echoes the board's display name ('GitLab'); Lever, Ashby and Workable echo the lowercase slug. company_slug always holds the slug. |
| bad values | ats / company | Rejected differently | An ats outside the four is INVALID_PARAM with the allowed list attached. An unknown board token is NOT_FOUND. Passing 'greenhouse' to search is INVALID_PARAM, because only workable aggregates across companies. |
Job ids do not collide across providers, and they are not portable either. A Lever UUID sent with ats=greenhouse returned NOT_FOUND, and a Greenhouse numeric id sent with ats=lever did the same. Keep the (ats, company, id) triple together as your key.
Four providers, one shape, and the two places it does not hold
Measured on 2026-08-28 against boards on all four providers and by walking the aggregator search. Two of these lines go against us.
An ATS board exists to be read by applicants, so there is no login, no API key of the employer's, and no account of yours in the path. Nothing here can get a seat of yours limited. The only thing between you and the board is your ReefAPI key.
company_jobs returns the whole board in one call. One Greenhouse board came back with 217 roles in two seconds; a Lever board returned 89 in three. There is no cursor to carry and no total to compare against a reachable number, because the number returned is the total.
Against us, and the kind of bug that quietly halves a dataset. We asked the same query for page 1, page 8 and page 40: all three returned the same 25 ids, every time. Depth on this action comes from limit instead, and that works properly — limit 200 returned 200 rows, 198 of them unique, across ten upstream requests, with a reported total of 897. Use limit; ignore page until this is fixed.
Against us. company_jobs with ats workable returned ok:true with total 0 for five different board tokens, and a clean 404 for a sixth. The other three providers answered normally with the same call shape. Workable is still worth having — the cross-company search runs on its aggregator and returned 897 hits for one keyword — but for a named company board, use Greenhouse, Lever or Ashby today.
Rows carry posted_date and updated_date as separate ISO-8601 values with a timezone offset, to the second. One role we opened was posted in April and updated in August — a distinction none of the aggregator engines in this batch can make, because they carry at most one date.
compensation came back null on the board rows and on the detail we opened. Some employers do publish a band inside the description; nothing parses it into a number for you here. If pay is the point, pair this with levels-fyi or indeed.
location is the employer's own free-text string ("Remote, Italy") and locations is the normalised list next to it, alongside a boolean remote and a workplace_type. department comes through as the employer wrote it; team was frequently null.
company is the slug in the board's own URL — the subdomain or org path — not a brand name, and a wrong token is a clean NOT_FOUND rather than a wrong company's jobs. If you only have a domain, enrich-hiring probes all four providers for you and reports which one answered.
Postings and the employer: id, title, url, company, location, department, employment type, remote flag, requisition id, timestamps, description and the employer's own apply link. No hiring-manager names, no recruiter contacts, no applicant data.
What people build with Company Job Boards
The jobs this data is most often used for.
endpoints
credit per call
Sales-intelligence teams call company_jobs to detect hiring signals (a company opening 10 sales roles) from the source ATS.
Job boards run company_jobs across a company list to aggregate fresh, first-source postings.
Labor-market analysts use search to measure open-role volume by department and location over time.
What Company Job Boards data costs
The cheapest call here is 1 credit, so $15/mo (Pro) buys 10,000 of them — $1.50 per 1,000 credits. Credits roll over and never expire, and failed or blocked calls are not charged.
Full pricing →- 1,000 free credits on signup, no card
- One key, all 184 APIs, one credit pool
- Failed and blocked calls are never charged
- Credits roll over and never expire
Call it in two lines
Sign up, get 1,000 credits and one key that works on every engine. Then this is the whole protocol.
curl -X POST https://api.reefapi.com/ats-jobs/v1/company_jobs \
-H "x-api-key: $REEF_KEY" \
-H "content-type: application/json" \
-d '{"ats":"greenhouse","company":"gitlab"}'import requests
r = requests.post(
"https://api.reefapi.com/ats-jobs/v1/company_jobs",
headers={"x-api-key": REEF_KEY},
json={
"ats": "greenhouse",
"company": "gitlab"
},
)
print(r.json()["data"])Have a question? We got answers.
The questions people actually ask before wiring up Company Job Boards.
Get a free key →Which ATS providers are actually supported?▾
The providers action returns four keys, alphabetically: ashby, greenhouse, lever, workable. Anything else is rejected at the parameter level with INVALID_PARAM and the allowed list in error.detail.allowed, so a typo in the provider name never turns into a silently empty result.
Is a job id unique across providers?▾
No, and the shapes are different enough that you can usually tell them apart: Greenhouse ids are 10-digit numeric strings, Lever and Ashby both use lowercase UUIDs, Workable uses a 22-character base62 code. An id is only meaningful inside one board, which we confirmed both ways: a Lever UUID with ats=greenhouse and a Greenhouse id with ats=lever both returned NOT_FOUND. Store the (ats, company, id) triple as the key.
Which provider gives me salary data?▾
Ashby, in our measurements. A Ramp job came back with a compensation object holding tiers and components, plus a normalized salary{min:211400, max:290600, currency:'USD', source:'structured'}. compensation was null on every Greenhouse, Lever and Workable job we read, so if pay is the point of your query, start with Ashby boards.
Why does search reject ats=greenhouse?▾
Only Workable runs a public cross-company index, so search is a Workable-only action and ats defaults to 'workable'. Passing greenhouse, lever or ashby returns INVALID_PARAM with a message pointing you at company_jobs. To search across Greenhouse boards you have to enumerate the board tokens yourself and call company_jobs per company.
What is the difference between count and total?▾
count is how many rows are in this response, total is the size of the underlying set. Asking gitlab for 3 jobs returned count 3 and total 219; spotify reported total 90 and ramp 134. On search, total is the size of the query's result set, 2226 for 'python engineer'. Use total to decide whether to page, not to size your array.
A job says remote: true but location_parsed.remote is false. Which is right?▾
Both, because they answer different questions. The top-level remote flag reflects whether the posting offers a remote option at all, which is why a Ramp job listed in New York with 'Remote (US)' among its locations reads remote:true. location_parsed.remote reflects only the primary location string, so it stays false unless that string itself says remote. workplace_type ('remote', 'hybrid', 'onsite') is usually the field you actually want.
Can I list one company's jobs on Workable?▾
Not reliably today. company_jobs with ats=workable and account slugs taken straight from search results returned ok:true with total 0 and an empty jobs array, and job_detail for those same ids returned NOT_FOUND. Treat Workable as a search-only surface, and use company_jobs for greenhouse, lever and ashby, where we verified live boards of 219, 90 and 134 jobs.
What do is_new and requisition_id mean?▾
is_new was true on the Workable rows posted within the previous week and false on the older Greenhouse, Lever and Ashby postings we read, so it is a freshness hint rather than a state you can rely on. requisition_id is the employer's own internal number, and only Greenhouse supplied it ('6263'); it is null on the other three providers.
What is the Company Job Boards API?▾
Company Job Boards API is a ReefAPI endpoint group for jobs straight from company career pages. It returns live JSON through POST requests under /ats-jobs/v1.
Is the Company Job Boards API free to try?▾
Yes. ReefAPI starts with 1,000 free credits, no card required. Company Job Boards calls use the same shared credit balance as every other ReefAPI engine.
Do I need a Company Job Boards login or account?▾
No login to Company Job Boards is needed for the API response. You call ReefAPI with your x-api-key header, and the playground can run live examples before you create a production key.
How fresh is the Company Job Boards data?▾
The page example is captured from a live company_jobs call, and production requests fetch live data through ReefAPI rather than a static sample.
How many credits does the Company Job Boards API use?▾
Company Job Boards actions currently cost 1 credit per successful call. Failed or blocked calls are free, and all APIs draw from one credit pool.
Can I call Company Job Boards from an AI assistant or MCP client?▾
Yes. Connect ReefAPI once through MCP and your assistant can call ats-jobs actions with the same key, credit pool and JSON envelope used by normal REST requests.
15 Jobs & Hiring APIs on the same key
One key, one credit pool, one response envelope. If you are pulling Company Job Boards, you are one call away from the rest of the category — no second contract, no second integration.
Need something this API does not do?
Name the endpoint, the field, or a source we do not carry yet. We ship new APIs every week and you would be first to get the key. Real people read every message and reply the same day.
Try it on your own data before you pay anything
The call above is the real endpoint, not a recording. A free key gives you 1,000 credits, the other 183 APIs, and the same envelope everywhere.
Endpoints, parameters and credit costs on this page are read from the live catalog and cannot drift from what the API accepts. Field notes were captured on 2026-08-28.