Sr. Manager, Machine Learning Engineering, Ads Measurement Products
San Francisco, CA · Remote · Seattle · USD 227,871-469,147 · 5+ years experience · Posted Sep 30, 2026
At a glance
- Experience
- 5+ years experience
- Location
- San Francisco, CA · Remote · Seattle
- Salary
- USD 227,871-469,147 · Base salary
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 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.
- The Measurement Products team helps advertisers understand campaign effectiveness, quantify business impact, and make informed investment decisions. We build a portfolio of first- and third-party measurement solutions spanning incrementally, experimentation, brand outcomes, and other approaches to evaluating advertising performance.
- We also develop the scalable platforms and capabilities that power these solutions, enabling faster innovation, support for evolving measurement methodologies, and integration with Pinterest’s broader ads, data, and experimentation ecosystems. Our mission is to deliver rigorous, privacy-conscious, and actionable measurement that strengthens advertiser confidence and improves business outcomes.
About the role
- The Measurement Products team helps advertisers understand campaign effectiveness, quantify business impact, and make informed investment decisions.
- This role involves leading and growing a team of experienced ML, backend, and data engineers responsible for building innovative ads measurement products and platforms.
Responsibilities
- Lead and grow a team of experienced ML, backend, and data engineers responsible for building innovative ads measurement products and platforms.
- Set the technical vision and multi-year engineering strategy for Measurement Products, translating advertiser needs and measurement methodologies into scalable, reliable, and trustworthy production systems.
- Partner closely with Product, Data Science, Ads Engineering, and Infrastructure teams to develop and productionize causal inference, experimentation, and ad-effectiveness solutions.
- Drive the development of scalable ML and data platforms supporting first- and third-party measurement products.
- Influence the broader Ads Product and Engineering roadmap by identifying high-leverage opportunities to improve measurement offerings.
- Partner with stakeholders across Product Management, Data Science, Sales, and other functions to expand adoption and business impact.
- Hire, mentor, and grow engineering managers, technical leaders, and engineers while building an inclusive culture.
- Champion the effective use of AI-assisted development and LLM-powered tools to accelerate engineering, prototyping, experimentation, and analysis.
Requirements
- 10+ years of industry experience building software, ML, or large-scale data systems, with 5+ years of experience managing engineering teams responsible for production systems.
- Bachelor's degree in computer science, a related field or equivalent experience.
- Meaningful experience with ads measurement, ad effectiveness, or incrementality.
- Strong understanding of experimentation, causal inference, probabilistic modeling, or measurement using noisy, incomplete, or privacy-constrained data.
- Demonstrated ability to set a compelling technical vision, develop multi-year roadmaps, and drive scalable, production-quality systems.
- Proven success partnering across Engineering, Product Management, Data Science, Infrastructure, and business teams.
- Ability to make principled decisions and guide teams through trade-offs.
- Experience establishing strong engineering practices for architecture, operational excellence, experimentation, evaluation, monitoring, and governance.
- Track record of hiring, mentoring, and developing engineering managers, senior technical leaders, and high-performing engineers.
- Experience using AI coding assistants and LLM-powered productivity tools.
Benefits
- Equity
Workplace
- In-office presence required 1-2 times per month for in-person collaboration.
Skills
- Causal Inference
- Experimentation
- Probabilistic Modeling
- Conversion Lift
- Brand Lift
- Conversion APIs
- LLM-powered Tools
