# Director, Machine Learning Engineering, Ads Measurement

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Salary**: $314,580-$550,515 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8234555?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_22b10a57-9fc

## Description

We're looking for a strategic and experienced engineering leader to define the technical direction for Pinterest's advertiser measurement and signal-quality ecosystem.

You will 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.

Responsibilities:

- 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.

Requirements:

- Strong background in 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.

- 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.

Salary: $314,580-$550,515 USD

## Skills

### Required
- ads measurement
- machine learning
- data processing
- engineering leadership
- technical strategy

### Nice to have
- privacy-enhancing technologies
- probabilistic matching
- graph systems
- anomaly detection
- event-quality modeling
- confidence scoring
- ML platforms
- real-time systems
- streaming systems
- large-scale experimentation
- model governance

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8234555?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)