Technical Program Manager, Signal Growth

Meta•Menlo Park, CA

4d•$245,000 - $309,000

About The Position

The Meta Product Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. Product TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a solid technical background, including familiarity with system architecture, data pipelines, and software development practices, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact. The Signal Growth team in Ads is on a mission to transform digital advertising - building cutting-edge technical programs that drive durable business growth through major regulatory, platform, and policy shifts. It's one of Meta's most strategic advertising bets: expanding the value of first-party data (1PD) and third-party data (3PD) signals, enriching merchant metadata, and pioneering privacy-preserving ML that recovers signal value while respecting user choices and meeting strict privacy standards. As a TPM on the Signal Growth team at Meta, you'll be at the forefront of shaping the future of advertising - providing the technical and organizational leadership to drive large-scale, cross-functional programs from strategy to shipped-at-scale. You'll make hard architecture and prioritization calls, align many teams behind a coherent roadmap, and turn frontier ML into real advertiser and business impact. It's an ambitious goal, and we need a leader who can help us get there.

Requirements

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 experience diving into system architecture, code, data pipelines, or infrastructure to drive informed decision-making and problem-solving
Proficiency with AI tools and an AI-native approach to work, including using AI to accelerate analysis, automate workflows, and enhance productivity
Experience delivering tech programs or products from inception to delivery
Knowledge of user needs, gathering requirements, and defining scope
Experience communicating and translating non-technical to technical (and vice versa) requirements and discussions to internal and external teams (including public-facing communication)
Experience describing features and/or system details and communicating technical information effectively
Experience tracking industry and market trends to assess new and external technologies/products to solve problems and demonstrated thought leadership
Communication experience and experience working with technical management teams to develop systems, solutions, and products
Organizational, coordination and multi-tasking experience
Experience using data-driven analysis to identify root causes, evaluate trade-offs, and inform technical or program decisions
Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones
Experience working with product teams to build and deliver end-to-end customer focused products with technical knowledge of the underlying platforms and technologies
Experience developing or working directly on various aspects of large-scale ML/AI platforms

Nice To Haves

Experience building or scaling a TPM community through mentorship programs, hiring initiatives, onboarding curricula, or cross-functional best-practice development
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience in Ads, advertising technology, or similar monetization domains
Experience with machine learning systems, including model development, ML infrastructure, or ML-powered product features
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in influencing internal partners and stakeholders as a recognized thought leader in technical program management
Demonstrated experience redesigning program management workflows using AI tools and agents to drive measurable improvements in delivery quality, speed, or organizational scale
Track record of identifying and launching new focus areas or program disciplines within a large technology organization, including setting strategic direction and building the operational foundation from the ground up

Responsibilities

Responsible for building, managing, and setting direction for teams as a whole as well as for individual team members' success
Identifying and solving systemic, organizational-wide problems, influencing, and building strong relationships. Partners include Product Management and Engineering to define needs to support strategic planning and execution as well as metrics, program requirements and scope
Leading technical discussions and being a thought leader during product reviews and being responsible for designing and executing process and strategy frameworks that facilitate product-related goal setting, decision making and business impact
Articulating to stakeholders your team's technology vision, requirements, goals and milestones and develop collaboration across teams and functions
Integrating technical knowledge, subject matter expertise and understanding trends to make sound decisions and influence business direction through data-driven analysis
Developing and managing end-to-end project plans and ensuring on-time delivery
Providing hands-on program management during analysis, design, development, testing, implementation, and post implementation phases
Performing risk and change management on projects
Influencing program/product direction and simplifying complexity
Establishing shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for Meta
Owning the execution of or applying machine learning (ML)/artificial intelligence technologies