Staff Technical Program Manager

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role will be based in Mountain View, CA.

LinkedIn's Talent Marketplace Engineering org builds the systems and platforms that connect hundreds of millions of members with jobs, skills, and career opportunities. Our work spans online jobs, job recommendations, AI-powered matching, applicant experience, and the platforms that power LinkedIn's core economic value — helping people find the right opportunity at the right time.

We're looking for a Staff Technical Program Manager to drive the strategy, planning, and execution of large-scale, cross-functional programs across Talent Marketplace Engineering and other infra org partners. In this role, you'll lead AI and LLM based projects, and partner closely with engineering, product, data science, and design to deliver high-impact initiatives that shape how LinkedIn members and enterprise customers experience career mobility.

At the Staff level, you are expected to independently own ambiguous, complex programs, influence technical and product direction, and raise the bar for program management practices across the org.

Responsibilities

• Lead and drive end-to-end program delivery for multiple concurrent, high-complexity AI-driven engineering initiatives across Talent Marketplace Engineering and LinkedIn, from scoping and roadmap planning through launch and post-launch measurement.
• Partner with engineering leads and architects to identify technical dependencies, risks, and critical path; drive resolution across teams. 
• Define and own program operating rhythms and process: planning cadences, milestone tracking, cross-team sync structures, and executive reporting.
• Drive alignment across orgs and business stakeholders on scope, timelines, and trade-offs. 
• Anticipate and proactively mitigate risks; escalate blockers with clear recommendations.
• Contribute to org-level planning processes (half-yearly roadmap, OKR setting) by synthesizing engineering capacity and business priorities.