Director, Technical Program Management — Meta Business AI

Meta; Menlo Park (CA); Hybrid; USD 300,000 - 460,000; Full time

Job summary

Meta is seeking a Director of Technical Program Management for its Business AI group. You will lead a small, senior TPM team and own the most complex programs, setting the bar for execution, quality, and cost efficiency.

You will work with Engineering, Data Science, Product, and executive leadership to drive strategy and delivery at scale. The ideal candidate has a deep technical background in infrastructure or software, extensive people management, and a proven ability to translate complex

Qualifications

• 15+ years of experience in technical program management, software engineering, or systems engineering.
• 8+ years of experience managing people managers and leading organizations of TPMs or engineers.
• Experience driving execution strategy across multiple engineering organizations at scale.
• Experience partnering with executive and senior engineering leadership to shape strategy and roadmaps.
• Experience building and scaling high-performing technical organizations.
• Familiarity with GenAI / LLM workloads and infrastructure impact.
• Experience with capacity/cost economics and ROI analysis.
• Experience owning executive communications and decision frameworks for large programs.
• Experience in Business AI, ads, or AI-agent domains.

Skills

Technical program management

People management

Execution strategy

Executive collaboration

Organizational scaling

GenAI/LLM awareness

Cost modeling

Executive communications

AI domain experience

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.

• 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
• 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