Sr. Staff Software Engineer, Ads Measurement

Pinterest Pinterest · Consumer · Seattle, WA · Monetization

Senior Staff Software Engineer role at Pinterest focused on Ads Measurement, driving the next generation of conversion measurement capabilities. This role involves shaping strategy, driving architecture, and delivering platforms and product capabilities across a broad range of measurement challenges, including identity, attribution, privacy-aware measurement, experimentation, and conversion modeling. The role will partner with Data Science and Applied Science, and apply AI to identify signal loss, improve measurement resilience, and build diagnostics and explainability tools for advertisers.

What you'd actually do

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

Skills

Required

  • 10+ years of software engineering experience
  • Strong distributed systems and data platform expertise
  • Sharp product judgment
  • Deep understanding of ads measurement
  • Ability to influence across multiple teams
  • Excellent communication and influence skills
  • Demonstrated ability to align cross-functional stakeholders

Nice to have

  • 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

What the JD emphasized

  • significant experience leading large, ambiguous technical initiatives
  • 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

Other signals

  • AI for measurement resilience
  • AI for diagnostics and explainability
  • conversion modeling
  • experimentation, lift, and incrementality