Sr. Manager, Machine Learning Engineering, Ads Measurement Products

Pinterest; United States; Hybrid; USD 228,000 - 469,000; Full time

Job summary

Pinterest is seeking a senior leader for Measurements Products to guide ML, backend, and data engineers in building innovative ads measurement platforms. You will define a multi-year engineering strategy, partner across Product, Data Science, and Ads Engineering, and drive scalable, trustworthy production systems while championing AI-assisted development and privacy-conscious practices.

The role requires 10+ years in software/ML/data systems with 5+ years leading production-focused teams, strong

Qualifications

• 10+ years of experience building software, ML, or large-scale data systems.
• 5+ years of experience managing engineering teams responsible for production systems.
• Bachelor's degree in CS or equivalent.
• Experience with ads measurement or ad effectiveness.
• Strong understanding of experimentation and causal inference.
• Ability to set a multi-year technical roadmap and lead scalable systems.
• Proven cross-functional collaboration across engineering, product, data science, and business teams.

Responsibilities

• Lead and grow a team of experienced ML, backend, and data engineers building ads measurement products and platforms.
• Set the technical vision and multi-year engineering strategy for Measurement Products.
• Partner with Product, Data Science, Ads Engineering, and Infrastructure to productionize causal inference and experimentation solutions.
• Drive development of scalable ML and data platforms supporting measurement products (conversion lift, brand lift, MMM, MTA, etc).
• Influence the broader Ads Product and Engineering roadmap for speed, scale, usability, and actionability of measurement offerings.
• Partner with stakeholders across functions to expand adoption and impact of measurement products.
• Hire, mentor, and grow engineering leaders and engineers; foster inclusive culture of excellence.
• Champion AI-assisted development and LLM-powered tools with rigorous validation and accountability.

Skills

Ads measurement

Leadership

Data analysis

Causal inference

Experimentation

ML systems

Communication

Education

Bachelor's degree in CS

Tools

Python

LLM tools

Experimentation platforms

Production systems

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 and celebrate each other's unique experiences and embrace theflexibility 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, conversion APIs, or clean-room-based measurement.
• 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 from strategy through execution.
• Proven success partnering across Engineering, Product Management, Data Science, Infrastructure, and business teams to deliver measurable product and advertiser impact.
• 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.
• 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.
• Strong communication and stakeholder-management skills, with the ability to influence senior leaders and align teams across organizational boundaries.
• 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.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

US based applicants only

$227,871 — $469,147 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.