Top Tech Jobs & Startup Jobs in NYC, NY

Lead GitLab’s Security Posture Management team within Product Security. Drive governed security capability rollouts across the software estate, establish secure configuration baselines, build software supply chain security, manage risk registers and posture metrics, support audit evidence, and provide customer-zero feedback to Product and Engineering. Hire, coach, and develop the team while representing GitLab’s security practices externally and driving measurable risk reduction in a remote, asynchronous environment.

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 features, optimize performance, review code, address technical debt, and collaborate cross-functionally. Participate in weekday, weekend, and occasional nighttime Tier 2 or Tier 3 on-call rotations.

Provide advanced technical support for GitLab’s largest customers, troubleshooting complex Linux, GitLab, CI/CD, infrastructure, and integration issues. Build customer relationships, resolve critical incidents, collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams, create reusable support documentation, share knowledge, and participate in hiring. The role requires strong Linux systems expertise, scripting ability, debugging skills, and familiarity with Kubernetes and serverless technologies.

Lead customer migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo. Plan replication, cutovers, network connectivity, and post-migration validation while debugging synchronization issues. Build repeatable automation, runbooks, and infrastructure validation using Terraform, Ansible, Kubernetes, and cloud platforms. Manage multiple customer engagements, advise stakeholders, communicate technical plans, and collaborate with Professional Services, Product, and Engineering teams.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and deploy AI-powered solutions across Sales, Marketing, and Customer Support. Diagnose workflows, identify constraints, evaluate whether AI is appropriate, and own initiatives from discovery through deployment. Develop LLM applications using prompt engineering, RAG, agentic architectures, orchestration, guardrails, and enterprise integrations. Measure business value through flow metrics, adoption, ROI, and feedback loops while partnering with technical and non-technical stakeholders.

Lead GitLab’s US Government Support Engineering team, overseeing complex enterprise troubleshooting, case resolution, hiring, onboarding, coaching, escalation management, and process improvement. Partner with product and engineering teams to address government-specific needs, participate in manager on-call coverage, support critical incidents, and improve service delivery for regulated customers.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Drive enterprise growth in the Seattle territory by leading complex B2B SaaS sales cycles for GitLab's AI-powered DevSecOps platform. Build C-level relationships, develop strategic account plans, coordinate cross-functional teams, manage full sales lifecycle from discovery to implementation, and drive net ARR and account expansion while contributing to forecasting and go-to-market improvements.

Lead the field organizations AI adoption by defining enablement roadmaps, identifying and piloting high-impact field use cases, driving operational scale, building field champions, and owning governance for safe, compliant AI tool adoption. Partner with product, engineering, ops, and analytics to measure impact and embed AI into day-to-day sales workflows.