Staff Software Engineer, Ads Measurement Products

Навыки

• Data Quality
• Распределённые системы
• HR-процессы
• Java
• Kotlin
• Лидерство
• Python

О компании и продукте

• 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 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 .

Задачи

• 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

Требования

• 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

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