Strategic Technical Program Manager for AI Growth

Meta

Menlo Park (CA)

On-site

USD 245,000 - 309,000

Full time

14 days+

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Job summary

Meta is seeking a Technical Program Manager for the Signal Growth team to lead cross-functional programs from strategy to shipped-scale results. You will own execution, align multiple teams across Product, Engineering, and Ads, and drive data-driven decisions leveraging ML/AI capabilities.

Ideal candidates bring extensive experience in technical program management, system architecture, and a deep understanding of data pipelines with a focus on measurable business impact in advertising technology.

Qualifications

  • 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 to drive decisions.
  • Proficiency with AI tools and an AI-native approach to work.

Responsibilities

  • Responsible for building, managing, and setting direction for teams as a whole as well as for individual team members' success.
  • Identify and solve systemic, organizational-wide problems, influencing, and building strong relationships with Product Management and Engineering.
  • Lead technical discussions and design/execute process and strategy frameworks for goal setting and decision making.

Skills

Software engineering
System architecture
Data pipelines
AI tools
Technical program management
Cross-functional collaboration
Communication of technical concepts
Data-driven analysis
Project planning

Tools

ML infrastructure

Job description

Meta is seeking a Technical Program Manager for the Signal Growth team to lead cross-functional programs from strategy to shipped-scale results. You will own execution, align multiple teams across Product, Engineering, and Ads, and drive data-driven decisions leveraging ML/AI capabilities.

Ideal candidates bring extensive experience in technical program management, system architecture, and a deep understanding of data pipelines with a focus on measurable business impact in advertising technology.

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