Staff Product Manager, Advertiser Recommendations & Incentives

Snap•Santa Monica, CA

7d•Hybrid

About The Position

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 Product team uses creativity, research, insights, and operational excellence to steer our product vision across Snap Inc. This team of Designers, Scientists, and Product Managers works in a highly collaborative environment to build the products and experiences that innovate and improve the performance of Snap's advertising platform and user experiences. Together these teams drive value and success to our customers and bring our community together in new and special ways. We're looking for a Staff Product Manager to join our SMC Ads team as the lead for Advertiser Recommendations & Incentives! About the role In this role, you will own the strategy, roadmap, and execution for Snap's advertiser recommendations platform — the intelligence layer that understands who advertisers are, where they are in their journey, and how to unlock performance and accelerate growth. This work spans all advertiser segments, from self-serve SMC advertisers to large-scale partners. You will build data-backed, platform-wide recommendations, treatments, and incentives that meet advertisers at every stage and tier. While you will remain on the SMC PM team, you will be deeply embedded with many teams across our ads stack — operating at the intersection of product intelligence, advertiser experience, and revenue growth.

Requirements

Strong understanding of the digital advertising ecosystem, advertiser lifecycle, and the levers that drive campaign performance and advertiser retention.
Experience building recommendation, nudge, or personalization systems — with an ability to think through relevance, timing, and impact at scale.
Systems thinking across advertiser segmentation, data infrastructure, and product surfaces — with the ability to connect signals across the full advertiser journey.
Proven ability to collaborate across product, engineering, data science, and go-to-market teams in a complex, matrixed organization.
Revenue-focused mindset with a track record of building products that drive measurable advertiser and business outcomes.
Strong analytical skills with experience using data and experimentation to inform product decisions.
Excellent communication and influence skills, with the ability to drive alignment across stakeholders at all levels.
Ability to drive projects from strategy through to execution, balancing long-term vision with near-term delivery.
BS/BA degree or equivalent relevant experience
8+ years of experience in consumer or digital advertising products, with part of that experience in advertiser-facing or growth products
Experience working on data-backend ad platform products
Experience working across advertiser tiers, particularly SMC
Strong data fluency, including hands-on experience with SQL

Nice To Haves

Experience building advertiser-facing recommendations, alerts, or performance intelligence products
Familiarity with CRM systems and how sales and AM workflows intersect with product data (e.g., Salesforce integration)
Experience working at the intersection of product and go-to-market, with meaningful exposure to sales or account management workflows

Responsibilities

Own the end-to-end strategy, roadmap, and execution for the advertiser recommendations and incentives platform, spanning all advertiser segments and tiers.
Define and evolve the intelligence layer that identifies where advertisers are in their journey and surfaces the right recommendations, treatments, and incentives to drive action and growth.
Build data-backed recommendation systems that unlock performance opportunities — from campaign setup and optimization nudges to growth levers tied to revenue outcomes.
Design and optimize incentive programs that drive advertiser activation, engagement, and spend milestones — ensuring incentives are well-targeted, measurable, and tied to business outcomes.
Partner deeply with other ads product teams as an embedded collaborator, ensuring recommendations and incentives are tightly integrated with AM workflows, Salesforce data infrastructure, and marketplace intelligence.
Work cross-functionally with Measurement, Ranking, Targeting, Data Science, and Engineering to build scalable, high-quality recommendation logic that performs across advertiser tiers.
Partner with Sales and Account Management to surface operational insights, identify opportunity gaps, and ensure recommendations translate to real advertiser outcomes.
Leverage A/B testing, experimentation, and data analysis to evaluate recommendation quality, drive continuous improvement, and communicate results clearly across a matrixed organization.
Engage regularly with advertisers and customer support to understand friction points, validate recommendation relevance, and identify new opportunity areas.