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

• 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

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 theflexibility 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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will require in-person collaboration in the office approximately three times per week. Candidates should be within commuting distance of one of the following offices: Seattle, Palo Alto, or San Francisco.