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
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