Staff Product Manager, AI Growth & Adoption

GitLab Inc.

Northern (KY)

Remote

USD 180,000 - 240,000

Full time

3 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

GitLab Inc. is hiring a Staff Product Manager for the AI Software Factory PLG track.

This senior individual-contributor role focuses on shaping developer discovery, adoption, and lasting value across GitLab’s AI-powered software creation experience—from planning and specification through coding, review, and verification. You will align capabilities across the Duo Agent Platform and related areas, own product strategy for growth, and simplify onboarding to drive rapid value at team and

Qualifications

Product management experience leading complex technical or multi-team products from strategy through delivery and iteration.
Required: Demonstrated success in enterprise B2B PLG or growth, with measurable impact on activation, time-to-value, adoption, retention, conversion, or expansion—including scaling from individual use to team or organization-wide adoption.
Hands-on experience using customer research, product analytics, funnel and cohort analysis, and experimentation to identify growth opportunities and measure results.
Strong understanding of the software development lifecycle and experience with AI products, developer tools, DevSecOps, or other technical B2B software.
Sound technical judgment and a track record of influencing cross-functional teams, resolving tradeoffs, and communicating product decisions clearly in ambiguous environments.

Responsibilities

Define and maintain a 12–18-month product strategy for a cross-team part of GitLab’s AI Software Factory, with customer adoption and growth as core outcomes.
Own the adoption journey from discovery and onboarding through activation, time-to-first-value, repeat usage, team adoption, retention, and conversion or expansion.
Identify friction in the end-user, administrator, and buyer journeys, and prioritize improvements that help customers realize value and broaden adoption.
Set outcome measures for product and growth initiatives; use product usage data, customer feedback, and experiments to evaluate impact and adjust direction.
Build a steady test-and-learn approach, including clear hypotheses, experiment design, and sharing results and learnings across partner teams.