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Responsibilities
- Responsible for building, managing, and setting direction for teams as a whole as well as for individual team members' success
- You will be responsible for 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
- Viewed as the cross-functional partner you will lead technical discussions and be a thought leader during product reviews and be responsible for designing and executing process and strategy frameworks that facilitate product-related goal setting, decision making and business impact
- Articulate to stakeholders your team's technology vision, requirements, goals and milestones and develop collaboration across teams and functions
- Integrate your technical knowledge, subject matter expertise and understanding trends to make sound decisions and influence business direction through data-driven analysis
- Develop and manage end-to-end project plans and ensure on-time delivery
- Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases
- Perform risk and change management on projects
- Influence program/product direction and simplify complexity
- Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for Meta
- Own the execution of or applying machine learning (ML)/artificial intelligence technologies
Minimum Qualifications
- 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
Preferred Qualifications
- 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
$245,000/year to $309,000/year + bonus + equity + benefits
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