Staff Software Engineer, Ads Measurement Products at Pinterest

**Who this is for** A senior software engineer or architect with deep experience in data-intensive systems who wants to lead the technical direction of large-sc

Work type: remote

Location: San Francisco, CA, US; Remote, US

Salary: $177,185 – $364,795/yr

Type: Full-time

Summary

**Who this is for** A senior software engineer or architect with deep experience in data-intensive systems who wants to lead the technical direction of large-scale advertising measurement platforms. **Key highlights** This role focuses on the architecture and reliability of measurement products like Conversion and Brand Lift, driving the evolution of a next-generation platform for actionable advertiser insights. **You might be a good fit if you...** - Have 8+ years of experience building and operating robust, large-scale data pipelines in languages like Java, Scala, or Python. - Possess a strong foundation in distributed systems, API design, and data modeling for high-reliability production environments. - Excel at collaborating with Data Science teams to operationalize complex methodologies into automated production systems. - Are committed to building "rigor by default" through automated validation, monitoring, and anomaly detection.

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](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our next‑gen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest’s enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We’re seeking 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. You’ll drive end‑to‑end platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

#### What you’ll do:

• 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 (CI checks, test strategy, templates), 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.

• 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 (cycle time, defect rate, on-call load, incident rate).

• 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.

• 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 position is not eligible for relocation assistance. Visit our[ PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model.

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$177,185—$364,795 USD

View this job on nocollar jobs