Pinterest

Staff Technical Program Manager, Monetization Data Science

Pinterest$145K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in Technical Program Management (TPM) or related roles.
  • Proven record of leading multi-team technical programs with ambiguous goals.
  • Strong experience in building and managing data platforms and trusted metrics.
  • Expertise in developing and implementing operational systems and dashboards.
  • Excellent risk management and stakeholder communication skills.
  • Experience with AI technologies and implementing AI-first methodologies.
  • Bachelor's degree in Computer Science, Engineering, or equivalent.

Responsibilities

  • Lead and manage the Monetization Data Science execution roadmap, aligning with strategic pillars.
  • Coordinate with engineering teams to implement data systems and governance processes.
  • Collaborate with engineering to improve observability in the delivery funnel instrumentation.
  • Automate data workflows and program operations to minimize manual intervention.
  • Design and deliver partner-facing analytics tools for diagnostics and opportunity insights.
  • Establish and manage business review cadences to enhance accountability for input metrics.
  • Conduct thorough deep-dive analyses on cross-functional subjects with actionable outcomes.

Benefits

  • Flexible work environment with remote options.
  • Equitable workplace committed to inclusivity and inspiration.
  • Access to company equity as part of the compensation package.
  • Opportunity to work at the intersection of data and monetization strategies.
Full Job Description
The Team:

Pinterest helps people find inspiration and take action on it-connecting pinners with ideas and products they love. Within EPD, the Monetization org builds the ads and merchant ecosystem that funds Pinterest's business while protecting long-term user experience. This Staff TPM role sits in Monetization as the TPM lead for Monetization Data Science, at the center of a highly cross-functional network (Product, Engineering, Design, Sales, PMM, Core, Platforms, Data). What's exciting is the team's explicit shift toward a "data-driven monetization engine": unifying fragmented data into a trusted SSOT, building an end-to-end input metrics funnel, enabling advanced segmentation, and democratizing analytics so teams can move faster and make better decisions with shared context.

What you'll do:
  • Lead the Monetization DS execution roadmap: drive the integrated plan across the four strategic pillars (SSOT + funnel, segmentation, input-metrics cadence, democratized analytics) with clear milestones and success measures.
  • Productionalize our DS strategy: coordinate Platforms/Data Eng + Monetization Eng + DS to productionalize core tables, governance, reliability, and scale beyond DS-owned pipelines.
  • Enable new instrumentation: partner with Engineering to close observability gaps (especially delivery funnel instrumentation) so full-funnel survivability can be analyzed reliably.
  • Drive workflow automation: reduce manual human intervention in recurring data workflows and program operations; build durable mechanisms for monitoring, alerting, and dependency tracking.
  • Scale self-serve and democratization: deliver partner-facing tooling (dashboards / analytics surfaces) that makes staples the common language and supports fast diagnostics and opportunity mining.
  • Operationalize input metrics: establish/upgrade business review cadences so teams set goals and are accountable for moving controllable input metrics (not just reporting revenue outcomes).
  • Drive targeted deep dives: structure and execute cross-functional deep-dive programs (e.g., influencer population, auction density/demand) with clear hypotheses, decision asks, and downstream action plans.
  • 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.


What we're looking for:
  • Staff-level TPM scope and behaviors: proven ability to independently own multi-team, multi-quarter technical programs, including resolving ambiguity, driving decisions, and delivering outcomes through influence.
  • Deep cross-functional leadership: strong partnership with Product and Engineering plus ability to align Design, Sales, PMM, Core, Platforms, and Data on sequencing, tradeoffs, and adoption.
  • Data platform + metrics judgment: experience building trusted metrics/SSOT and operational cadences that shift org behavior toward leading indicators and fast diagnosis.
  • Mechanism builder, not "process administrator": track record of creating durable operating systems (cadence, dashboards, decision logs, RACI/DRIs) that reduce toil and increase velocity.
  • Excellent risk and dependency management: anticipates cross-org failure modes, keeps stakeholders aligned with crisp comms, and escalates with clear options and recommendations.
  • 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 Computer Science, Engineering, a related field or equivalent experience.


Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


In-Office Requirement Statement:
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.


#LI-REMOTE

#LI-JD3

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$145,747-$300,067 USD

About Pinterest

Pinterest is a social media platform that allows users to discover and save ideas for recipes, home decor, fashion, and more. The company was founded in 2010 and is headquartered in San Francisco, California. Pinterest has over 400 million monthly active users and is available in over 30 languages. The company's mission is to help people discover and do what they love.
Learn more about Pinterest
Size
3,225 employees
Market Cap
$16 billion
Industry
Net Income
-$128.3 million
Founded
2009
5 Year Trend
+53.9%
Revenue
$1.6 billion
NASDAQ

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