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Known enterprise brand, metro location, and common TPM role create high competition for qualified candidates.
Technical PM skills transfer across industries, though developer-tool adoption experience increases domain specificity.
Mandatory 7+ years and demonstrated AI tool adoption, metrics and PM tooling create high shortlisting strictness.
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Lead end-to-end rollout and adoption of AI-powered development tools (Cursor, GitHub Copilot) across engineering teams.
Define, track, and report key AI adoption and productivity metrics; build dashboards correlating AI usage with software delivery improvements.
Drive program execution for AI adoption initiatives including roadmaps, milestones, and alignment with organizational strategies.
7+ years experience in Technical Program Management, Product Operations, or related software development role.
Proven experience driving adoption of AI-powered development tools across engineering teams.
Proficiency with AI tools and program management tools such as Jira and Confluence.
Work Experience Required: 7+ years
Experienced managing AI tool adoption and measuring impact on engineering productivity in software environments.
Skilled at stakeholder management bridging technical and non-technical teams to ensure AI tool integration in SDLC.
Capable of building data-driven frameworks and dashboards linking AI use with software delivery metrics.