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PinterestPinterestSeattle, WA

Sr. Staff Software Engineer, Ads Measurement

Leads architecture and strategy for Pinterest Ads conversion measurement, partnering across teams to enhance attribution, privacy-safe systems, AI-driven diagnostics, and ecosystem integrations. Requires 10+ years experience in ads measurement domains with strong distributed systems expertise.

245k – 429k/yr
Hybrid10+ YOEBackend Engineering

About the role

What you’ll do:

  • Drive initiatives to improve conversion measurement architecture across web, mobile app, and offline/CRM signals
  • Apply AI to identify signal loss and improve measurement resilience
  • Use AI to build diagnostics and explainability tools for advertisers and internal teams
  • Strengthen experimentation, lift, and incrementality capabilities
  • Create shared measurement primitives used by optimization, reporting, and external APIs
  • Drive ecosystem integrations such as Conversion APIs, partner measurement hooks, and durable event ingestion pathways

What we’re looking for:

  • 10+ years of software engineering experience, including significant experience leading large, ambiguous technical initiatives as a senior individual contributor
  • Strong track record of defining architecture and driving execution across multiple teams
  • Experience in one or more ads or measurement-related domains such as attribution, conversion tracking, experimentation, identity, reporting, privacy-safe systems, or causal inference platforms
  • Ability to move fluidly between high-level strategy and low-level technical details
  • Excellent communication and influence skills, with demonstrated ability to align cross-functional stakeholders

Preferred qualifications

  • Familiarity with challenges such as browser and platform signal loss, event quality, deduplication, attribution windows, delayed conversions, and modeled measurement
  • Experience partnering closely with data scientists and applied scientists on measurement methodology or model-backed systems
  • Experience building advertiser-facing or partner-facing systems where explainability and trust are critical
  • Strong product sense for balancing scientific rigor with practical usability and speed

Skills

AIDistributed SystemsData PlatformsAttributionConversion TrackingExperimentationPrivacy-Safe SystemsCausal InferenceConversion ApisEvent Ingestion
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