Sr. Staff Software Engineer, Ads Measurement

We are looking for a senior technical leader to drive the next generation of Conversion Measurement capabilities across Pinterest Ads. This is a highly cross-cutting individual contributor role for an engineer who can operate with both breadth and depth—shaping strategy, driving architecture, and delivering durable platforms and product capabilities across a broad range of measurement challenges.

This role will partner with domain leads to tackle ambiguous, high-impact work spanning measurement foundations, identity and attribution signals, privacy-aware measurement, experimentation, lift and incrementality, conversion modeling, reporting quality, advertiser trust, and ecosystem integrations. The person in this role will work closely with Engineering, Product, Data Science, Applied Science, Design, Sales, and Marketing Science to define and execute a long-term roadmap for how Pinterest measures advertiser outcomes.

The ideal candidate combines strong distributed systems and data platform expertise with sharp product judgment, a deep understanding of ads measurement, and the ability to influence across multiple teams.

 

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
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