Sr. Staff Software Engineer, Ads Measurement
PinterestSeattle, WA, US; Palo Alto, CA, US; San Francisco, CA, USPosted 25 April 2026
Job Description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .
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 ... (truncated, view full listing at source)
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