Staff Software Engineer, Ads Measurement Products at Pinterest

San Francisco, CA, US; Remote, US·16h ago

LeadFull-timePythonJavaRustRailsAWSData ScienceAI

Salary Range

$153,000 - $207,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. This role involves driving end-to-end platform evolution, partnering with Product and Data Science, and raising the bar on rigor, trust, and operational excellence in ads measurement.

Key Responsibilities

→Own end-to-end architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
→Design, build, and optimize large-scale data pipelines that power study setup, experiment execution, and results computation.
→Drive AI enablement across the team by building the supporting tooling and processes, coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
→Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
→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, and lead root-cause analysis for pipeline and study issues.
→Mentor and up level engineers, driving strong technical execution and cross-functional collaboration.

Requirements

✓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, with clear metrics.
✓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, drive alignment, and deliver measurable impact through technical leadership.