Staff Product Manager, Ads Ranking

Location: Bellevue, United States | Palo Alto, Canada | San Francisco, Canada | Santa Monica, United States | Seattle, United States

Department: Other

Employment Type: Full time

About Snap Inc

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

About the Role

Snap Inc is a camera company that believes the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together through our core products: Snapchat, a visual messaging app; Lens Studio, an AR platform; and Spectacles, our AR glasses. The Ads Platform organization drives innovation and performance across our advertising platform, empowering businesses to achieve success through creative, AR-enhanced ads on Snap. Our Product and Engineering teams collaborate to build customer-centric solutions that deliver impactful results for advertisers while enhancing user experiences with immersive camera and AR technologies. Join our Revenue Product team as a Staff Product Manager, Ads Ranking, and lead the future of advertising in a creative, innovative culture. In this role, you will lead ads ranking at Snap, building cutting-edge ML recommendation models that boost user relevance, advertiser performance, and Snap revenue. Translate complex advertiser needs into ML requirements, guide elite Machine Learning Engineers, and collaborate with Engineering and Data Science to define robust eval metrics. Tackle high-impact challenges with strategic vision, developing roadmaps that align with Snap’s goals, integrating camera-first and AR innovations to create dynamic ad experiences that connect brands with our global community in fun, authentic ways. You will influence senior leadership and cross-functional partners through data-driven insights, clear communication of technical concepts, and proven outcomes. Use analytics to optimize products, inspire resilient teams, and mentor PMs while contributing to our collaborative Revenue Product organization. Thrive in ambiguity, make tough tradeoffs, and drive innovation that powers Snap’s creative ecosystem, ensuring ads feel native to Snapchat’s playful, real-time world.

What You'll Do

• Lead ads ranking at Snap, improving relevance for users, performance for advertisers, and revenue for Snap through cutting-edge ads recommendation ML models commercialized as products
• Translate advertiser and business needs into ML requirements and guide a team of world-class Machine Learning Engineers on high-impact problems
• Collaborate with Engineering and Data Science to define evaluation metrics for ads ranking systems
• Tackle complex, high-impact challenges by identifying root causes, designing future-proof solutions, and driving results aligned with company-level objectives
• Develop and communicate a comprehensive vision, strategy, and roadmap for ads ranking, ensuring alignment with Snap’s broader business goals
• Build trust and influence across senior leadership and cross-functional teams, including Engineering, Data Science, Product Marketing, Marketing Science, Sales, and Solution Engineering
• Use data and analytics to understand performance, identify growth patterns, and make informed decisions to optimize or sunset underperforming products
• Inspire and lead cross-functional teams to deliver exceptional results, fostering collaboration, adaptability, and resilience
• Mentor and guide less experienced PMs, contribute to recruiting efforts, and build a strong, collaborative Revenue Product organization
• Integrate camera technology and AR innovations into ads ranking to enhance creative, immersive advertising experiences on Snapchat

Minimum Qualifications

• BS/BA degree or equivalent years of experience
• 8+ years of experience building and shipping products at a technology company
• OR a Masters and 7+ years of experience
• Prior ads experience
• Strong understanding of ML fundamentals
• Experience with performance ads and industry best practices
• Ability to execute and deliver impact in ambiguous environments

Preferred Qualifications

• Experience shipping internet-scale ML recommender products through the end-to-end product lifecycle with materialized impact
• Prior ads ranking experience
• Hands-on modeling experience in ML
• Experience leading cross-functional teams in revenue-generating products
• Background in camera or AR-enhanced advertising products

Knowledge, Skills & Abilities

• Extremely analytical with excellence in numbers
• Skilled at asking right questions to turn ambiguous problems into testable hypotheses
• Strong customer empathy and business acumen
• Ability to translate business needs into ML model behaviors
• Communicate deeply technical topics succinctly to senior leadership
• Solid understanding of ML fundamentals
• Familiarity with performance ads and industry best practices
• Strategic thinking to develop strategies and make tradeoffs
• Ability to execute and land impact despite ambiguity
• Data-driven decision making with analytics
• Cross-functional influence and leadership
• Mentoring and team-building skills
• Knowledge of recommender systems
• Experience with large-scale systems

Our Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages with equity in the form of RSUs
• Competitive base salary based on pay zones (Zone A: $229,000-$343,000; Zone B: $218,000-$326,000; Zone C: $195,000-$292,000)
• "Default Together" policy with 4+ days per week in office to build culture
• Opportunities to share in Snap’s long-term success
• Support for diverse backgrounds and inclusive culture

Compensation

$229,000-$343,000 annually

This position is eligible for equity in the form of RSUs.

"Default Together" Policy: At Snap Inc, we practice a "default together" approach and expect team members to work in an office 4+ days per week.

Snap is proud to be an equal opportunity employer.