Pinterest · 1 month ago
Staff Technical Program Manager, Monetization Data Science
United States
Full-time
Remote
Lead/Staff
$146K/yr - $300K/yrPinterest is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Staff Technical Program Manager for Monetization Data Science to lead cross-functional teams in building a data-driven monetization engine, enhancing data integration, and driving automation in workflows.
Telecom & CommunicationsSocial MediaSoftwareInternetPhoto SharingSocial BookmarkingSocial NetworkVisual Search
No H1B
Responsibilities
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
Qualification
Required
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
Benefits
The position is also eligible for equity.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Company
Pinterest is a visual bookmarking tool for saving and discovering creative ideas.
Founded in 2010
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$2.49BKey Investors
Elliott Management Corp.Brandtech VenturesGoldman Sachs Investment Partners,SV Angel,Wellington Management
2026-03-03Post Ipo Debt· $1B
2022-07-14Post Ipo Equity
2020-01-01Post Ipo Equity
Leadership Team
Matt Madrigal
Chief Technology Officer
Julia Brau Donnelly
Chief Financial Officer
Recent News
Social Media Today
2026-07-16
2026-07-16
2026-07-16
Company data provided by crunchbase