Staff Technical Program Manager, Ads Measurement

Responsibilities

• Own end-to-end program delivery for Ads Measurement initiatives: Drive planning → execution → launch for complex, cross-org measurement programs (e.g., incrementality improvements, measurement integrations), with clear goals, milestones, and success metrics aligned to Monetization outcomes and broader company OKRs.
• Drive clarity through ambiguity in a complex technical domain: Convert vague problem statements into crisp program charters, decision points, and executable roadmaps; proactively identify gaps (requirements, ownership, resourcing, data readiness) and close them.
• Influence technical direction and tradeoffs with strong technical judgment: Facilitate architecture/design alignment, surface core technical uncertainties early, and drive principled tradeoff decisions (accuracy vs. latency, experimentation rigor vs. speed, privacy constraints vs. measurement granularity).
• Execute at both breadth and depth. At breadth by understanding the big picture, and at depth by being comfortable driving nitty gritty details with multiple teams.
• Be a thought leader to your XFN stakeholders by influencing product roadmap during the annual & quarterly planning. Work cross functionally with engineering, product, design, data analytics, Sales, Business Development, Research, and product marketing to turn ambiguous opportunities into actionable outcomes.
• Operate at Staff (IC16) scope and leadership altitude: Own the success of a strategic, complex program spanning multiple orgs; manage ambiguity across leadership levels; communicate program state, risks, and proposals (including tradeoffs) clearly to senior audiences (VP/Estaff/PLT as needed).
• Build durable program mechanisms and best practices: Create repeatable operating rhythms (intake, prioritization, RAID, decision logs, launch criteria, post-launch learning loops), and scale execution through others (including other T/PgMs and functional leaders).
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

Requirements

• 7+ years of experience as a technical program manager, or related experience.
• Entrepreneurial spirit with strong leadership, who can develop and lead a new initiative from the ground up and thrive in ambiguity.
• Passion for execution, and getting things done.
• Solid technical background and ability to quickly understand technical designs, challenges and risks. Experience breaking down complex problems and driving decision making.
• Strong analytical abilities, able to create & monitor metrics, proactively identify growth opportunities & incidents.
• Strong written, verbal communication skills and comfort in communicating nuanced, and often technical, concepts to internal stakeholders or external partners.
• Ability to influence teams & drive alignment among multiple stakeholders.
• Demonstrated experience in creating and driving efficient processes at scale.
• Prior experience working in ads space is preferred.
• AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications—starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
• Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate).
• Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
• Bachelor’s degree in a relevant field such as computer science, computer and information technology, or equivalent experience.