Top Tech Jobs & Startup Jobs in San Francisco, CA

Build and maintain the Python-based backend engine for GitLab Duo Chat, including agentic LangGraph flows, the Flow Registry, and Duo Workflow Service. Integrate chat capabilities with GitLab’s Rails monolith and GraphQL API, develop secure and tested high-scale services, optimize performance, review code, address technical debt, and collaborate across product, UX, and frontend teams. Participate in weekday, weekend, and occasional nighttime on-call rotations.

Build and maintain GitLab Duo’s TypeScript client SDK across frontend and backend systems. Responsibilities include designing public APIs, publishing versioned packages, creating isomorphic core modules, developing Vue 3 client components, improving credential security, optimizing browser performance, writing tests, reviewing code, and supporting an on-call rotation. The role is fully remote and involves collaboration on architectural improvements and incremental consumer migrations.

Lead customer migrations from self-managed GitLab to GitLab Dedicated, using GitLab Geo, Kubernetes, cloud platforms, networking, Terraform, and Ansible. Own migration planning, replication, cutover, validation, troubleshooting, and customer communication. Develop repeatable automation, tooling, and runbooks while coordinating with Professional Services, Product, and Engineering teams. Manage multiple engagements remotely and share technical insights to improve delivery.

Own the function’s AI strategy, prioritize transformation opportunities, map workflows, and define measurable outcomes. Build and manage AI agents using no-code and low-code tools, configure skills and MCP integrations, evaluate performance, and iterate solutions. Drive adoption through change management, training, office hours, feedback loops, and Champion networks. Partner with Enterprise AI and AI Engineers to scale secure solutions while coordinating cross-functional stakeholders and aligning initiatives to business priorities.

Leads GitLab’s US Government Support Engineering team, overseeing complex enterprise troubleshooting, customer escalations, hiring, coaching, crisis response, and support-process improvement. Partners with product and engineering teams to address government-specific needs, participates in working-hours on-call rotation, joins customer calls, reviews tickets, and develops scalable support practices for sensitive and regulated environments. The role is remote and requires strong technical support leadership, communication, and team-development skills.

Drive enterprise growth for GitLab across the Seattle territory by acquiring and expanding strategic accounts. Lead complex B2B software sales cycles, develop account plans, build C-level relationships, coordinate sales and technical teams, generate pipeline through partners, manage negotiations and implementation journeys, and maintain accurate forecasts. Position GitLab as a trusted DevSecOps and AI platform partner while contributing to win/loss analysis, pipeline reviews, presentations, and go-to-market improvements.

Owns GitLab’s Secret Detection offering and Vulnerability Research function. Sets strategy across prevention, detection, validation, revocation, and reporting; manages detection rules, advisories, intelligence feeds, and quality metrics; drives adoption, retention, competitive wins, and revenue. Partners with engineering, security research, threat intelligence, sales, and internal security teams while evaluating AI applications for triage, rule generation, remediation, and review automation.

Design and build backend and real-time features in the GitLab monolith for portfolio planning at scale. Optimize PostgreSQL performance, evolve GraphQL/REST APIs, improve large test suites, use feature flags and observability for safe rollouts, mentor engineers and contributors, participate in on-call rotations, and create proofs of concept for complex work.

Provide post-sales technical product expertise and best-practice guidance to help customers adopt GitLab at scale via webinars, labs, workshops, and on-demand engagements. Collaborate with CSMs, AEs, and Renewals to support implementation, architecture, use-case adoption (SCM, CI/CD, DevSecOps, Agile Planning), create reusable enablement content, and act as a trusted technical advisor.

Maintain and consolidate an inventory of AI tools for the field org, track adoption and utilization, manage access requests, support AI data hygiene, create enablement communications and simple reporting, and coordinate with enablement, IT, and field stakeholders to operationalize AI tooling.