Senior Manager of Machine Learning Engineering (Ads Measurement Products)
Posted Updated
Description
- 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
- 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
- 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