Pinterest8 дней назад

Sr. Staff Technical Program Manager

Зарплата не указана

San Francisco

Обязанности

01Lead company-level programs within Ads & Monetization — including areas such as Auction & Marketplace, Measurement & Attribution, Formats, and new surfaces
02Identify opportunities to drive long-term business innovation and differentiation within Ads; anticipate business, technical, and regulatory issues
03Influence at the VP level: provide strategic input to leadership decision-making, drive alignment across orgs
04Drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams to deliver complex, vague, and strategically important Ads programs
05Own the metrics and accountability framework for your programs: connect delivery, performance, experimentation, and measurement signals into a clear source of truth
06Bring structure and decision velocity to ambiguous, high-stakes work by establishing decision frameworks, surfacing tradeoffs, managing dependencies, and increasing alignment speed
07Exercise technical judgment equivalent to an L16 SWE: evaluate complex technical approaches, anticipate failure modes, sequence risky elements to fail fast, and guide teams in solving complex technical challenges
08Embed AI tools into program workflows to accelerate synthesis, planning, reporting, and repeatable workflows, applying appropriate judgment, verification, and privacy guardrails
09Provide thought leadership and mentorship: share best practices, create reusable tools and methodologies for the broader TPM org, and mentor PgMs and ICs across the company

01Minimum of 10 years of experience in technical program management or related experience leading company-level programs that directly impact business-critical objectives and revenue
02Demonstrated experience leading large-scale programs in ads, marketplace systems, machine learning/AI, ranking, recommendation systems, experimentation, measurement, data platforms, or similarly complex technical domains
03Track record of influencing senior leaders (VP/SVP/estaff) and aligning multiple organizations on programs of notable risk, complexity, and ambiguity
04Experience contributing to product or technology roadmaps at the company level, translating ambiguous business opportunities into clear priorities, measurable outcomes, and durable execution plans
05Expertise in building accountability systems across teams without a formal management structure: metric frameworks, roadmap tracking, launch governance, dependency management, and executive-level reporting
06Technical judgment and communication skills that allow you to guide engineering teams through complex tradeoffs, anticipate risks, and evaluate technical approaches without being the primary designer
07Demonstrated experience using AI to improve speed and quality in day-to-day program work, with a clear approach to validating accuracy, protecting sensitive data, and maintaining accountability for final decisions
08BS in Engineering, Computer Science, Data Science, or equivalent work experience