Director, Technical Program Management; TPM - CoreAI

Director, Technical Program Management (TPM) - CoreAI

Company Description Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

This role will be based in Mountain View, CA. Core AI is at the heart of Linked In’s AI innovation, incubating and delivering the company’s most ambitious moonshot initiatives. The Director of Technical Program Management (TPM) will be accountable for driving successful outcomes across these high‑impact, cross‑functional programs. We are seeking a Director who is a master of the TPM craft—someone who brings deep technical program leadership, operational rigor, and strategic judgment—while also being an inspiring people leader.

This role will build, mentor, and lead a team of TPMs, setting a high bar for execution, collaboration, and impact as Core AI turns bold ideas into reality.

Roles and Responsibilities

• Own delivery OKRs for all Core AI initiatives, ensuring programs are executed on schedule, meet quality and reliability standards, and achieve committed outcomes.

• Define, track, and report program‑level OKRs and KPIs (e.g., delivery predictability, milestone health, risk burn‑down, dependency management) to ensure transparency and accountability across Core AI.

• Build, hire, mentor, and lead a high‑performing TPM organization, with clear people OKRs focused on capability growth, leadership development, and retention.

• Drive execution excellence by establishing operating mechanisms (planning cadences, reviews, escalation paths, and postmortems) that improve delivery velocity and execution efficiency.

• Align engineering, product, research, and business leaders around shared OKRs to ensure Core AI moonshots translate into measurable business and platform impact.

Basic Qualifications

• BA/BS degree in Computer Science or a related field.

• 10+ years in Engineering leadership.

Preferred Qualifications

• Exceptional communication and persuasion skills, capable of convincing and aligning executive‑level stakeholders.

• Ability to identify technical disconnects and propose top options for resolution while taking ownership of driving alignment.

• Strong leadership and mentoring capabilities, with a passion for fostering a culture of innovation and collaboration.

• Relevant certifications in program management and technology are advantageous.

• Demonstrated ability to operate effectively in ambiguous, fast‑evolving environments.

• Strong capability to influence and collaborate across diverse stakeholders and cross‑functional teams.

• Proven experience navigating and driving outcomes within complex, matrixed organizational structures.

• Sharp focus on proactive risk identification, rapid decision‑making, and a fail‑fast, learn‑fast mindset.

• Gen AI – from modeling – pre‑mid and post training. Agentic applications. Responsible AI.

• Involved in a life cycle of AI products – from early stage to success.

Suggested Skills

• Technical Program Management

• Leadership

• Collaboration

• Gen AI

Seniority Level Director

Employment Type

Full‑time

Job Function Technology, Information and Internet

Compensation The pay range for this role is $194,000 to $318,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different…