Base salary range determined by us location; not s...
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Ai-native talent system design
Global performance management redesign
Product mindset for people problems
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GitLab is seeking a Lead Talent Management Partner to redesign and implement a modern, AI-native talent management system, emphasizing a product mindset to improve employee engagement and performance management processes. This role involves collaborating with various teams to create impactful talent strategies within a fully remote environment.
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Job Summary
This role offers a rare greenfield opportunity to architect a modern, AI-native talent system from the ground up.
The successful candidate will apply a product mindset to redesign the full talent lifecycle including goal-setting, feedback, and succession planning.
GitLab values continuous knowledge exchange and expects all team members to incorporate AI into their daily workflows to drive efficiency.
Matching Summary
Match Score: 75
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GitLab is seeking a Lead Talent Management Partner to redesign and implement a modern, AI-native talent management system, emphasizing a product mindset to improve employee engagement and performance management processes. This role involves collaborating with various teams to create impactful talent strategies within a fully remote environment.
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Salary
Base salary range determined by US location; Not specified; Equity and benefits included
Skills & Requirements
Must-have
AI-native talent system design
Global performance management redesign
Product mindset for people problems
Succession planning and skills frameworks
Change management and enablement delivery
Nice-to-have
Workday configuration experience
Asynchronous remote work comfort
Strong analytical dashboard skills
Bias toward clear documentation
Experience with Slack integrations
Key Requirements
Proven track record in global talent management processes
Experience partnering with Technology teams on requirements
Strong program and project management skills
Demonstrated change management capability
Ability to operate autonomously in fully remote environment