Director, Technical Program Management - Meta Business AI

OpenTalent; Menlo Park (CA); On-site; USD 230,000 - 300,000; Full time

Job summary

Meta seeks a Director of Technical Program Management to lead a small, senior team of TPMs focused on AI infrastructure within the Meta Business AI scope. This role requires owning top‑priority programs end‑to‑end, driving execution, and delivering measurable outcomes while shaping the strategy with engineering and product leadership.

You will build frameworks for performance, cost, and capacity tradeoffs, influence cross‑functional partners, and guide organizational growth through scalable

Qualifications

• 15+ years of experience in technical program management or related engineering roles.
• Experience leading senior teams of TPMs or engineers across large programs.
• Proven ability to drive program strategy, operating models, and roadmaps at scale.
• Experience partnering with executive leadership to shape strategy and cross‑functional alignment.
• Experience growing and scaling high‑performing technical organizations during growth.

Responsibilities

• Direct, mentor, and grow a small, senior TPM team.
• Own high‑leverage, complex programs end‑to‑end; drive execution and results.
• Define and lead the technical execution strategy for AI infrastructure and capacity.
• Build decision frameworks to compare tradeoffs across performance, cost, and quality.
• Partner with Engineering and Product leadership to align long‑term strategy and roadmaps.
• Communicate milestones and risks to senior leadership; escalate when needed.
• Align plans across organizations and manage dependencies to deliver cross‑functional solutions.
• Own people management, including hiring, coaching, and career growth.

Skills

Technical program management

Leadership

People management

Cross-functional collaboration

Job description

Director, Technical Program Management — Meta Business AI Responsibilities:

• Directly lead, mentor, and grow a small, senior team of technical program managers, setting direction and standards while remaining hands‑on with the most critical programs
• Personally own the highest-leverage, most complex programs end‑to‑end — leading technical discussions, driving execution, and delivering results, not only managing through others
• Define and lead the technical execution strategy for AI infrastructure and capacity across the product area — performance, efficiency, quality, reliability, and capacity
• Build the decision‑making backbone — models, scorecards, and frameworks — that makes performance/efficiency/quality/cost/capacity tradeoffs explicit and enables faster, better‑grounded cross‑functional and leadership decisions
• Partner with Engineering and Product leadership to define and revise the long‑term strategy for the area, aligning roadmaps, instrumentation, and priorities across teams
• Keep the organization and senior leadership informed on progress: set milestones, communicate program status, surface risks early, and drive escalations to resolution
• Work across organizations to align plans, manage dependencies, drive execution, and deliver broad solutions through influence, not authority
• Own people management for the team — hiring, coaching, career growth, performance, and team culture — while keeping the team small, senior, and high‑leverage

Minimum Qualifications:

• 15+ years of experience in technical program management, software engineering, or systems engineering, with demonstrated progression into organizational leadership
• 8+ years of experience managing people managers and leading organizations of technical program managers or engineers across multiple concurrent, large‑scale programs
• Experience driving execution strategy across multiple engineering organizations simultaneously, including defining program management frameworks and operating models at scale
• Experience partnering with executive and senior engineering leadership to shape organizational strategy, influence technical roadmaps, and drive cross‑functional alignment
• Experience building and scaling high‑performing technical organizations, including attracting talent, developing leadership pipelines, and managing organizational health through periods of significant growth or change

Preferred Qualifications:

• Familiarity with how GenAI / LLM workloads drive infrastructure demand, cost, and capacity
• Experience with capacity and cost economics, including infrastructure cost modeling, unit economics, and ROI analysis
• Experience owning executive communications and decision frameworks for large, cross‑functional technical programs