Top Tech Jobs & Startup Jobs in Seattle, WA

Serves as the technical authority for a GitLab product group in complex enterprise presales opportunities. Leads architecture discussions, technical deep dives, demos, workshops, executive briefings, PoV evaluations, and customer adoption efforts. Develops reference architectures, playbooks, battlecards, and enablement materials; mentors Account Solutions Architects; escalates complex technical issues; and provides customer and competitive feedback to Product and Engineering.

Manages Customer Success Engineering for GitLab, an intelligent DevSecOps orchestration platform. The provided description contains no specific responsibilities or qualifications, but indicates a remote role supporting GitLab’s customer success and technical product environment. GitLab emphasizes AI-enabled workflows, collaboration, professional development, and employee benefits.

Own the technical strategy for GitLab’s strategic technology partnerships, translating partner roadmaps into integrations, architecture, and product opportunities. Evaluate AI models and agents, build prototypes, facilitate technical workshops, develop business cases, and influence product roadmaps. Coordinate Engineering, Product, Finance, FinOps, Sales, Marketing, R&D, and partner teams through delivery while tracking cloud, AI, and DevSecOps developments. The role is remote and requires quarterly travel with EMEA-overlapping hours.

Leads enterprise sales across the Southeastern United States, managing Strategic Account Executives and owning regional bookings, revenue, forecasts, territory strategy, and pipeline health. Responsibilities include hiring, coaching, performance management, customer relationship development, go-to-market execution, sales enablement, and cross-functional collaboration with Renewals, Marketing, and Sales Operations. The role is fully remote and supports adoption of GitLab’s AI-powered DevSecOps platform.

Lead the vision, strategy, roadmap, and adoption of GitLab’s test and code coverage capabilities. Identify customer problems involving pipeline failures, flaky tests, test automation, coverage, and recovery. Partner with Engineering and Design to create agent-driven workflows for diagnosis, test optimization, coverage analysis, and safe recovery. Measure outcomes, validate solutions with customers, influence cross-functional stakeholders, and mentor product managers.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Leads FP&A for GitLab’s R&D organization and serves as strategic finance partner to the CTO. Owns annual planning, rolling forecasts, headcount and cost planning, investment decisions, efficiency metrics, financial modeling, and process redesign. Evaluates AI, cloud, tooling, and build-versus-buy investments; partners with Accounting, Procurement, and People teams; drives AI-enabled finance transformation; and leads and develops the R&D finance team.

Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Supports Workday and other People Technology systems by managing recurring processes, security roles, audits, configurations, testing, upgrades, reports, dashboards, documentation, and data loads. Partners with People Operations, HR business partners, and Talent Acquisition to resolve issues, improve processes, support SOX controls, train users, and deliver system enhancements in a remote environment.