Director,Product Management - Integrity Management Job Seattle area,Washington USA,Business

Summary

The Integrity Measurement team sets the foundation for how we think about and operate Integrity across Meta's product suite. This team is responsible for developing the right metrics, building and maintaining these at scale, and leveraging these to enable clear decision making as user behavior and our products themselves evolve. This team's work shapes Integrity goals, guides enforcement decisions and powers Meta's public reporting.

We're at a unique moment where AI enables us to rethink our approach to this space from the ground up - novel techniques for AI-first metrics, more granularity, and greater agility than ever before.

This is a cross-cutting role leading the Measurement team and product through this transition, working closely with partners across Meta. The ideal candidate has demonstrated experience translating product metrics into strategy, familiarity with AI-driven measurement approaches, and statistical expertise applied to large-scale integrity or trust & safety systems.

At Meta, we're shaping innovative experiences in service of giving people the power to build community and bring the world closer together. Our multidisciplinary product teams are creating new ways to help people connect, find communities and grow businesses. Together, we are committed to building innovative technologies — Facebook, Instagram, Messenger, Whats App, Workplace, Meta Quest and more — to serve billions of people around the globe.

Meta Product Management Leaders work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Management Leaders with a track record of identifying new opportunities and driving them from concept to launch to help innovate and execute product initiatives across the company, value moving quickly, and drive AI transformation across their organizations. This job description represents different full-time roles across our suite of products and platform.

Required

Skills

Director, Product Management - Integrity Management Responsibilities:

Is the primary driver for identifying and shaping transformative, long-term opportunities across multiple large Product areas or portfolios, setting vision and strategy that influences Meta's broader organizational and industry direction

Generates buy-in and drives consensus across multiple organizations and senior leadership, bringing clarity and structure to highly ambiguous, company-level opportunities

consistently demonstrates initiative and executes with minimal oversight, often setting new standards

Set the standard for critically evaluating when AI is (and isn't) the optimal solution across product portfolios

Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide excellence

Lead a team through the ideation, technical development, and launch of innovative products

Drive product development with a team of world-class engineers and designers

Attract, build, manage, and develop a talented team of product managers and product leaders with emphasis on AI-native capabilities

Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale

Foster a culture of rapid experimentation and learning that becomes a competitive advantage for the organization

Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so organizational capability compounds over time

Orchestrate complex execution across multiple teams and organizations by combining AI automation with strategic human oversight

Maximize efficiency in a constantly evolving environment where the process is fluid and innovative solutions are the norm

Set expectations for PM technical capability, including use of AI-enabled tools to build products

Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction

Ensure teams understand system/architecture trade-offs and how they impact user experience and business outcomes

Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for executive, engineering, and cross-functional audiences

Define and analyze metrics that inform the success of products

Establish evaluation (evals) as a first-class product practice across teams for AI-powered experiences

Drive decision-making through user insights, quantitative analysis, and AI-accelerated experimentation

Minimum Qualifications

12+ years of…