Sr. Manager, Machine Learning Engineering, Ads Measurement Products

Responsibilities

• 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.

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