Senior Manager of Machine Learning Engineering (Ads Measurement Products)

Join Pinterest as a Senior Manager of Machine Learning Engineering in the Measurement Products team. You will lead and grow a team of experienced engineers, set the technical vision and multi-year engineering strategy, and drive the development of scalable ML and data platforms. You will also partner with various teams to expand the adoption and business impact of Pinterest's measurement products. The ideal candidate has 10+ years of industry experience, a strong understanding of experimentation and causal inference, and a track record of hiring and developing engineering teams.

- 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. - 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.

- Proven success partnering across Engineering, Product Management, Data Science, Infrastructure, and business teams to deliver measurable product and advertiser impact - Demonstrated ability to set a compelling technical vision, develop multi-year roadmaps, and drive scalable, production-quality systems from strategy through execution - Ability to make principled decisions and guide teams through trade-offs involving methodological rigor, product usability, system complexity, statistical power, data quality, privacy, and time to market - 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, conversion APIs, or clean-room-based measurement - Experience establishing strong engineering practices for architecture, operational excellence, experimentation, evaluation, monitoring, and governance - 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 - Strong understanding of experimentation, causal inference, probabilistic modeling, or measurement using noisy, incomplete, or privacy-constrained data - Bachelor’s degree in computer science, a related field or equivalent experience - 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 to improve engineering and analytical workflows, paired with clear standards for critical review, testing, and accountability - Strong communication and stakeholder-management skills, with the ability to influence senior leaders and align teams across organizational boundaries