Sr. Manager, Machine Learning Engineering, Ads Measurement Products

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 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. What you’ll do: Lead and grow a team of experienced ML, backend, and data engineers responsible for building innovative ads measurement products and platforms, including incrementality solutions, measurement diagnostics, anomaly detection, automated insights, and advertiser decision-support tools. 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 without compromising methodological rigor. Drive the development of scalable ML and data platforms supporting first- and third-party measurement products, including conversion lift, brand lift, budget-split testing, matched-market testing, marketing mix modeling, multi-touch attribution, conversion APIs, and clean-room-based measurement. Influence the broader Ads Product and Engineering roadmap by identifying high-leverage opportunities to improve the speed, scale, usability, and actionability of Pinterest’s measurement offerings. Partner with stakeholders across Product Management, Data Science, Sales, and other functions to expand the adoption and business impact of Pinterest’s measurement products. Hire, mentor, and grow engineering managers, technical leaders, and engineers. Build an inclusive culture of technical excellence, accountability, innovation, and strong cross-functional collaboration. Champion the effective use of AI-assisted development and LLM-powered tools to accelerate engineering, prototyping, experimentation, and analysis while maintaining rigorous standards for validation, explainability, data protection, and accountability. What we are looking for: 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 incrementally, including areas such as conversion lift, brand lift, budget-split testing, matched-market testing, MMM, MTA, conversi