Meta
Technical Program Manager, Signal Growth
$245K–$309K
Bellevue, WA +1 · Manager · Full-time · Posted Jul 10, 2026
- Location
- Bellevue, WA
Menlo Park, CA - Experience
- 15+ years in software engineering, systems engineering, hardware engineering, or technical product/program management.
- Education
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
About the job
Leads cross-functional Signal Growth programs for Meta Ads, from strategy and technical planning through delivery, using data and ML/AI to improve advertising signals and business outcomes while respecting privacy standards.
What you'll do
- Set program direction and roadmaps; align Product, Engineering, and other teams on goals, scope, milestones, and requirements.
- Lead end-to-end technical program execution, including architecture and prioritization decisions, delivery, risk and change management, and stakeholder communication.
- Build and guide teams, address organizational problems, and apply ML/AI technologies to improve program and product outcomes.
What they ask for
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- 15+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
- Hands-on technical depth with system architecture, code, data pipelines, or infrastructure.
- Experience delivering technology programs or products from inception to delivery.
Nice to have
- Experience in Ads, advertising technology, or similar monetization domains.
- Experience with machine learning systems, large-scale ML/AI platforms, or AI-driven workflow improvements.
Pay
$245,000/year to $309,000/year USD base salary; bonus and equity amounts not stated
Tools
AI, ML, system architecture, code, data pipelines, infrastructure
AI focus
Own execution of or apply ML/AI technologies; use AI tools to accelerate analysis, automate workflows, improve productivity, and redesign program management workflows. The role also involves responsible AI practices and work with large-scale ML/AI platforms.
Model-written summary · the original posting is authoritative