Director, Machine Learning Engineering, Ads Measurement
$314,580 - $550,515 / year
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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.
We’re looking for a strategic and experienced engineering leader to define the technical direction for Pinterest’s advertiser measurement and signal-quality ecosystem. In this role, you’ll lead managers and senior technical leaders across Interfaces, Ingestion, User Match, and Conversion Quality, driving multi-year investments in machine learning, data platforms, experimentation, privacy, and production reliability. You’ll partner closely with Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal and Sales to translate complex advertiser and business challenges into scalable solutions—and build an inclusive, high-performing organization equipped to deliver measurable impact at scale.
What you’ll do:
- Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality.
- Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments.
- Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations.
- Translate advertiser and business problems into scalable ML, data, and platform solutions.
- Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations.
- Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance.
- Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders.
- Recruit, retain, and develop a high-performing, inclusive organization.
What we’re looking for:
- Strong background ads measurement, identity, signals and large-scale data processing.
- Experience leading an engineering organization through managers and senior technical leaders.
- Demonstrated ability to define and execute technical strategy across multiple teams.
- Experience operating systems with demanding scale, reliability, privacy, and data-quality requirements.
- Track record of improving organizational execution, developing leaders, and creating distributed ownership.
- Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes.
- Strong executive communication and cross-functional influence.
- Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes.
- Strong executive communication and cross-functional influence.
- Bachelor’s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience.
- Nice-to-have experience:
- Experience leading through major privacy, browser, platform, or signal-availability changes.
- Ads optimization, or privacy-enhancing technologies.
- Probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring.
- ML platforms, real-time or streaming systems, large-scale experimentation, and model governance.
- Experience applying AI or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
#LI-HYBRID
#LI-SM4
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.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Benefits
- stock options
About this role
Leading Pinterest's ads measurement and signal-quality ecosystem, this director role sits at the intersection of machine learning, data infrastructure, and advertiser-facing products. You'd own technical strategy across four major areas—Interfaces, Ingestion, User Match, and Conversion Quality—and manage a team of managers and senior technical leaders through multi-year investments in ML platforms, experimentation, privacy, and reliability. The scope is genuinely broad: translating advertiser problems into scalable solutions while partnering across Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal, and Sales.
This is a role for someone with deep ads-measurement expertise and a track record leading engineering organizations through complexity. You need strong foundational knowledge in identity, signals, and large-scale data processing, plus demonstrated ability to define and execute technical strategy across distributed teams. The work demands exceptional analytical thinking—moving from ambiguous business challenges to measurable technical outcomes—and the executive communication skills to navigate trade-offs and risks with senior stakeholders.
The nice-to-haves point to the real challenges ahead: experience navigating privacy and platform shifts, probabilistic matching, real-time systems, large-scale experimentation, and model governance. If you've built or scaled systems that balance measurement rigor with privacy constraints, or led teams through major signal-availability changes, this role plays to those strengths. The position requires in-office presence in San Francisco and is not eligible for relocation assistance.
How this employer is doing
average
- H1B: Active Visa Sponsor
- News: Legal Issue
- Leadership Change
- Active Visa Sponsor
In the news
Pinterest Appoints James Dibbo Chief Financial Officer, Yahoo Finance
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Pay for this role
$314,580 to $550,515 per year
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