Director, Technical Program Management — Meta Business AI

Meta; Menlo Park (CA); On-site; USD 245,000 - 309,000; Full time

Job summary

Meta in Menlo Park is seeking a Director of Technical Program Management for Meta Business AI to lead a small, senior TPM team and own the most complex programs end-to-end. This hands-on, player-coach role sets the technical and execution bar for AI infrastructure, capacity, and product performance while coordinating with Engineering, Data Science, and Product leadership.

The ideal candidate has 15+ years in TPM/software/systems with leadership experience, strong cross-functional collaboration,

Qualifications

• 15+ years in technical program management, software engineering, or systems engineering with progression to leadership
• Experience leading organizations of TPMs or engineers across multiple large programs
• Experience driving execution strategy across multiple engineering groups at scale
• Proven ability to shape organizational strategy and cross-functional alignment

Responsibilities

• Directly lead, mentor, and grow a small, senior TPM team
• Own the highest-leverage, most complex programs end-to-end
• Define and lead the technical execution strategy for AI infrastructure and capacity
• Build decision-making frameworks for performance, cost, and capacity tradeoffs
• Partner with Engineering and Product leadership to align roadmaps and priorities
• Keep leadership informed with milestones, risks, and escalations
• Work across organizations to align plans and deliver broad solutions
• Own people management, hiring, coaching, and culture in a small, high-leverage team

Skills

Leadership

Cross-functional collaboration

Strategic planning

Communication

Mentoring

Executive stakeholder management

Job description

Meta Business AI is one of the company's fastest-growing AI product areas — AI agents that help businesses connect with their customers. As this product scales rapidly toward serving businesses and conversations at massive scale, delivering that experience reliably and efficiently — and making the right tradeoffs at speed — is mission-critical. We are hiring a Director of Technical Program Management to own that mandate and to lead the small, senior team that drives it.This is a hands-on, player-coach role. The right leader directly manages a small, highly senior team of technical program managers while personally owning the most complex, highest-leverage programs themselves. They set the technical and execution bar for how fast, how good, how efficient, and how reliable the product is, and they build the analytical and communication backbone that enables Engineering, Data Science, Product, and leadership to make the right performance, efficiency, quality, cost, and capacity decisions.The ideal candidate is a proven TPM leader with a technical background in infrastructure, systems, or software engineering, an effective cross-organization collaborator, and an effective communicator who can distill complex technical topics for both technical and executive audiences. They have experience navigating ambiguity, defining structure in evolving problem spaces, and delivering results in rapidly changing product areas; they are skilled at leading a team, developing and driving high-level strategy, and — equally — personally executing on critical workstreams, including technical analysis, program planning, and stakeholder coordination. They can sift through complex information, distill key insights, and elevate critical data to drive informed decisions at every level, from the working team to senior leadership.

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
• Experience in Business AI, ads, or AI‑agent / agentic-commerce domains

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affiliation employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$245,000/year to $309,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.