Product Manager, Ads Ranking

Staff Product Manager, Ads Ranking – Snap Inc.

Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live, communicate, and learn about the world. Our core products are Snapchat, Lens Studio, and Spectacles AR glasses.

The Ads Platform organization drives innovation and performance across Snap’s advertising platform, empowering businesses to achieve measurable growth. Our Product and Engineering teams build solutions that deliver impactful results for advertisers, ensuring Snap’s ad products are effective, efficient, and customer‑centric.

We’re looking for a Staff Product Manager to join our Revenue Product team at Snap Inc.

• Lead ads ranking at Snap, improving 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 Snap’s 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.

• Extremely analytical, excellent with numbers, and skilled at asking the right questions to turn ambiguous business problems into concrete hypotheses that can be tested with data.
• Strong customer empathy and business acumen, translating between business needs and the behaviors that ML models must exhibit 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; develop and articulate strategies, make difficult trade‑offs, and bring people along.

• BS/BA degree or equivalent years of experience.
• 8+ years of experience building and shipping products at a technology company; OR a Master’s and 7+ years of experience.

• 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.

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be based on job‑related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.

Zone A (CA, WA, NYC): $229,000 – $343,000 annually.
Zone B: $218,000 – $326,000 annually.
Zone C: $195,000 – $292,000 annually.
Position is eligible for equity in the form of RSUs.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.