Staff Software Engineer, Ads Measurement Products

Job not on LinkedIn

🕒 February 25

🏢🏡 San Francisco – Hybrid

💵 $177.2k - $364.8k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Pinterest

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📱 Media

👥 B2C

💰 Post IPO equity on 2022-08

Media • B2C

Pinterest is a visual discovery and bookmarking platform that helps users discover, save, and organize images and ideas (Pins) for interests, projects, and shopping. It provides personalized recommendations and visual search so people can plan and explore topics like home design, fashion, recipes, and events, and it supports commerce features and ads for creators and retailers.

📋 Description

• 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.

🎯 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 (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.

🏖️ Benefits

• flexibility to do your best work • equity • health insurance