Lead Talent Management Partner

GitLab GitLab · Enterprise · United States · Talent Management & Development

Lead Talent Management Partner at GitLab, focused on redesigning performance management and strategic talent planning with an AI-native approach. This role involves architecting a modern talent system, translating vision into technology execution, managing projects, building feedback loops, and driving adoption through enablement and partnerships. The goal is to create an intuitive talent infrastructure that integrates with daily workflows and provides real-time insights.

What you'd actually do

  1. Serve as the architect of the performance management and talent planning redesign initiative, applying a product mindset to build and own a roadmap that reimagines the full talent lifecycle (i.e. goal-setting, feedback, check-ins, performance reviews, succession planning, and development).
  2. Partner with People Technology to translate that vision into scalable technology execution - defining requirements, validating design, supporting configuration and UAT, and identifying tools that leverage AI and embed talent processes into how people already work (e.g. slack integrations).
  3. Lead project management of initiative - tracking milestones and dependencies, managing risks, and ensuring workstreams stay aligned and on schedule.
  4. Build feedback loops that give team members regular visibility into their progress and give managers the insight they need to coach, develop, and differentiate their teams with confidence.
  5. Design and deliver enablement that drives adoption - including change management plans, manager toolkits, training, communications, and office hours - creating a consistent, low-friction experience for team members and managers.

Skills

Required

  • Innovative, AI-forward mindset and experience applying emerging technology to solve people problems in ways that are practical, scalable, and ahead of the curve.
  • Proven track record designing, implementing, and governing global talent management processes and enterprise-wide programs from concept through sustained adoption (goals, feedback, check-ins, review cycles, succession planning, skills inventory, etc).
  • Product-minded approach to talent programs, with experience building roadmaps, prioritizing work, and designing performance and development processes that balance the team member experience and the organizational output.
  • Strong experience partnering with Technology teams, including translating program vision into business requirements and partnering with Analysts on configuration for performance management, goals, and talent modules (Workday experience a plus)
  • Strong program and project management skills, with the ability to independently manage multi-phase rollouts, coordinate dependencies, document decisions and processes, manage risks, and drive day-to-day execution across multiple workstreams in an asynchronous, fully remote environment.
  • Demonstrated change management and enablement capability, including building training, manager toolkits, and communications that drive adoption in a globally distributed environment.
  • Experience owning succession planning and talent identification approaches with a focus on building strong leadership pipelines.
  • Strong analytical skills, including defining talent health metrics, building dashboards, and synthesizing insights into clear narratives for executive audiences.

Nice to have

  • Workday experience

What the JD emphasized

  • AI-native talent system
  • leverage AI
  • AI as a core productivity multiplier
  • incorporate AI into their daily workflows