Staff Product Manager, Advertiser Recommendations & Incentives

About the role

The Staff Product Manager will own the strategy, roadmap, and execution for Snap's advertiser recommendations and incentives platform. This work spans all advertiser segments, from self-serve SMC advertisers to large-scale partners. The role involves building data-backed recommendation systems and incentive programs that drive advertiser activation, engagement, and spend milestones.

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.

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.

Qualifications

• 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

Preferred Qualifications

• 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