Staff Software Engineer, Ads Measurement Products

Pinterest is a platform where millions of people find creative ideas and plan for memories. The Measurement Products team helps advertisers measure the incremental impact of their campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies, and are evolving them into a next-gen Measurement Hub.

We are seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform. You will drive end-to-end platform evolution (pipelines, services, correctness, reliability), partner with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

• Own end-to-end architecture and delivery of features for lift measurement products.
• Design, build, and optimize large-scale data pipelines for study setup, experiment execution, and results computation.
• Drive AI enablement across the team by building supporting tooling and processes (CI checks, test strategy, templates) and coaching engineers.
• Translate measurement methodology into production systems, partnering with Data Science.
• Build “rigor by default” mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, lead root-cause analysis.
• Mentor and uplevel engineers, driving strong technical execution and cross-functional collaboration.

• BS+ in Computer Science (or related field) or equivalent practical experience.
• 8+ years of professional software engineering experience, with a focus on data-intensive systems.
• Strong proficiency building and operating large-scale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
• Demonstrated ability to transform a team’s engineering workflow using AI—from pilot to broad adoption—through tooling, enablement, and change leadership.
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
• Demonstrated ability to lead large cross-functional initiatives and deliver measurable impact through technical leadership.

Base salary range: $177,185—$364,795 USD. The position is also eligible for equity. Final salary is based on factors including location, travel, relevant prior experience, or particular skills and expertise.

Location: This role is remote eligible within the US, with an option to work from San Francisco, CA. The position is not eligible for relocation assistance.

Application: Apply via the Pinterest careers page.