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Zigsaw

Senior Staff Technical Program Manager

Zigsaw

Sr. Staff Technical Program Manager at Pinterest developing Ads & Monetization strategies.

Posted 7/23/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $163,639 - $336,903 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading complex Ads and Monetization programs, leveraging technical judgment and strategic influence to drive alignment across cross-functional teams. Proficient in establishing accountability frameworks and utilizing AI tools to enhance program workflows and decision-making.

Highest-signal resume keywords
Technical Program ManagementAds and Marketplace SystemsAI and Machine Learning IntegrationInfluencing Senior LeadersAccountability Framework Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Technical Program ManagementAds and Marketplace SystemsMachine LearningData PlatformsExperimentationMetric FrameworksRoadmap TrackingDependency ManagementRisk EvaluationDecision Frameworks
Soft Skills
Strategic CommunicationMentorshipInfluencing SkillsCollaborationProblem-Solving
Tools & Technologies
AI ToolsMeasurement SystemsReporting ToolsData Analysis ToolsProject Management Software
Industry Keywords
Monetization StrategyBusiness InnovationCross-Functional AlignmentExecutive-Level ReportingProduct Roadmaps

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • Lead company-level programs within Ads & Monetization — including areas such as Auction & Marketplace, Measurement & Attribution, Formats, and new surfaces — with direct impact on multiple company OKRs.
  • Identify opportunities to drive long-term business innovation and differentiation within Ads; anticipate business, technical, and regulatory issues that impact Pinterest’s monetization strategy.
  • Influence at the VP level: provide strategic input to leadership decision-making, drive alignment across orgs, and lead through technical credibility and communication — not through a management hierarchy.
  • Drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams to deliver complex, vague, and strategically important Ads programs.
  • Own the metrics and accountability framework for your programs: connect delivery, performance, experimentation, and measurement signals into a clear source of truth for what shipped, what moved the metrics, and why.
  • Bring structure and decision velocity to ambiguous, high-stakes work by establishing decision frameworks, surfacing tradeoffs, managing dependencies, and increasing alignment speed across executive and cross-functional teams.
  • Exercise 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 across orgs.
  • Embed AI tools into program workflows to accelerate synthesis, planning, reporting, and repeatable workflows, applying appropriate judgment, verification, and privacy guardrails.
  • Provide 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.

Requirements

What you’ll need
  • Minimum of 10 years of experience in technical program management or related experience leading company-level programs that directly impact business-critical objectives and revenue.
  • Demonstrated experience leading large-scale programs in ads, marketplace systems, machine learning/AI, ranking, recommendation systems, experimentation, measurement, data platforms, or similarly complex technical domains.
  • Track record of influencing senior leaders (VP/SVP/estaff) and aligning multiple organizations on programs of notable risk, complexity, and ambiguity.
  • Experience contributing to product or technology roadmaps at the company level, translating ambiguous business opportunities into clear priorities, measurable outcomes, and durable execution plans.
  • Expertise in building accountability systems across teams without a formal management structure: metric frameworks, roadmap tracking, launch governance, dependency management, and executive-level reporting.
  • Technical 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.
  • Demonstrated 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.
  • BS in Engineering, Computer Science, Data Science, or equivalent work experience.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements