Staff Product Manager, Ads Ranking

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. The Companyu2019s three core products are Snapchat (, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (. The Ads Platform organization drives innovation and performance across our advertising platform, empowering businesses to achieve success and measurable growth through advertising on Snap. Our Product and Engineering teams work together to build solutions that deliver impactful results for advertisers. We ensure Snapu2019s ad products are effective, efficient, and customer-centric, enabling businesses to connect meaningfully with our global community. Weu2019re looking for a Staff Product Manager to join our Revenue Product team at Snap Inc What youu2019ll do: + Lead ads ranking at Snap. Improve relevance for users, performance for advertisers and revenue for Snap by building cutting edge ads recommendation ML models and commercializing them as products. + Translate advertiser and business needs into ML requirements and guide a team of world class Machine Learning Engineers on the most impactful problems to solve. + Collaborate with Engineering and Data Science to define eval metrics for ads ranking systems. + Tackle complex, high-impact challenges by identifying root causes, designing future-proof solutions, and driving results that align with company-level objectives. + Develop and communicate a comprehensive vision, strategy, and roadmap for your product area, ensuring alignment with Snapu2019s broader business goals and delivering innovative solutions that empower advertisers and enhance user experiences. + Build trust and influence across senior leadership and cross-functional teams, including Engineering, Data Science, Product Marketing, Marketing Science, Sales and Solution Engineering, by demonstrating expertise, sound judgment, and measurable outcomes. + 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 under challenging circumstances. + Mentor and guide less experienced PMs, contribute to recruiting efforts, and play an active role in building a strong, collaborative Revenue Product organization. Knowledge, Skills & Abilities: + Extremely analytical. You are excellent with numbers. You are also excellent at asking the right questions that turn ambiguous business problems into concrete hypotheses that can be tested with data. + Strong customer empathy and business acumen. You can translate between business needs and the behaviors that ML models need to exhibit in order to meet those needs. + Ability to communicate deeply technical topics succinctly and engagingly to senior leadership and cross functional partners. + Solid understanding of ML fundamentals. Prior hands-on modeling experience is a plus. + Familiarity with performance ads and industry best practices. + Ability to execute and land impact despite ambiguity. + Strategic thinking. You can develop and articulate strategies, make difficult tradeoffs, and bring people along. 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 Preferred Qualifications: + Experience shipping internet-scale ML recommender products through the end to end product lifecycle with materialized impact. + Prior ads experience is a must. Prior ads ranking experience is a strong plus. If you have a disability or special need that requires accommodation, please donu2019t be shy and provide us some information (.

Created: 2026-02-04