AI Engineer at GitLab (United States)

GitLab

1 month ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead end-to-end AI initiatives across Sales, Marketing, and Customer Support by designing, building, and deploying AI-powered solutions; diagnose problems, map workflows, and measure impact with flow and business metrics; work in a remote, asynchronous, values-driven GitLab environment to transform how teams operate and deliver measurable business outcomes.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Diagnose business problems before building AI solutions by mapping workflows, identifying constraints, and confirming whether AI is the right intervention.
•Own AI initiatives end-to-end from stakeholder discovery and technical design through implementation, deployment, and iteration.
•Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days with measurable business value.
•Improve organizational flow by reducing bottlenecks, shortening lead times, and increasing throughput, using flow metrics alongside adoption and ROI.
•Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and platforms (e.g., GitLab Duo Agent Platform).

Pay and Benefits

Salary: USD 108,400 - 129,600 annually

Equity and Bonus:Equity

Key Requirements

•Strong coding skills with at least one modern scripting language (Python, JavaScript/TypeScript) and solid understanding of REST APIs, GraphQL, and integration patterns.
•Deep, practical experience with modern AI technologies, including prompt engineering as a core discipline and evaluating model choice based on capability vs cost.
•Systems thinking and diagnostic rigour to map end-to-end workflows, identify bottlenecks, and map constraints across enterprise processes.
•Experience with enterprise business systems (CRM like Salesforce, marketing automation like Marketo, support platforms like Zendesk) and integration/orchestration tools (Workato) to build cross-functional solutions.
•End-to-end ownership of complex initiatives from discovery through delivery, plus a product-minded approach to MVP scoping, prioritization, and measurable outcomes.

Experience:SaaSOpen SourceDeveloper Tools

Skills:CommunicationProblem-solvingCollaborationLeadershipStrategic thinking

Languages:English

Tech Stack:PythonJavaScriptTypeScriptREST APIGraphQLAPIs

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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GitLab

1 month ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Diagnose business problems before building AI solutions by mapping workflows, identifying constraints, and confirming whether AI is the right intervention.
•Own AI initiatives end-to-end from stakeholder discovery and technical design through implementation, deployment, and iteration.
•Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days with measurable business value.
•Improve organizational flow by reducing bottlenecks, shortening lead times, and increasing throughput, using flow metrics alongside adoption and ROI.
•Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and platforms (e.g., GitLab Duo Agent Platform).

Pay and Benefits

Salary: USD 108,400 - 129,600 annually

Equity and Bonus:Equity

Key Requirements

•Strong coding skills with at least one modern scripting language (Python, JavaScript/TypeScript) and solid understanding of REST APIs, GraphQL, and integration patterns.
•Deep, practical experience with modern AI technologies, including prompt engineering as a core discipline and evaluating model choice based on capability vs cost.
•Systems thinking and diagnostic rigour to map end-to-end workflows, identify bottlenecks, and map constraints across enterprise processes.
•Experience with enterprise business systems (CRM like Salesforce, marketing automation like Marketo, support platforms like Zendesk) and integration/orchestration tools (Workato) to build cross-functional solutions.
•End-to-end ownership of complex initiatives from discovery through delivery, plus a product-minded approach to MVP scoping, prioritization, and measurable outcomes.

Experience:SaaSOpen SourceDeveloper Tools

Skills:CommunicationProblem-solvingCollaborationLeadershipStrategic thinking

Languages:English

Tech Stack:PythonJavaScriptTypeScriptREST APIGraphQLAPIs

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn