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 Company’s 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 Snap’s ad products are effective, efficient, and customer-centric, enabling businesses to connect meaningfully with our global community.

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

What you’ll 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 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.

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 don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

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 determined 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. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

Zone B:

Zone C: