Product Manager - Outcomes & Attribution

What you'll do

• Own the end-to-end product roadmap for Samba's outcomes and attribution capabilities, including conversion measurement, lift studies, and third-party data integrations
• Define requirements for attribution workflows—from third-party exposure or outcome data ingestion and audience matching to control group construction, results computation, and client-facing reporting
• Partner cross-functionally with data science, engineering, sales, and client success to build measurement methodologies that are both statistically rigorous and commercially compelling
• Develop and expand integrations with outcome signal providers across retail, automotive, travel, finance, and other key verticals—including point-of-sale data, website pixels, CRM feeds, and foot traffic signals
• Translate complex measurement concepts—incrementality, matched market testing, geo-based holdouts, media mix modeling—into clear product specs and client-ready narratives
• Build repeatable, scalable study frameworks that enable clients to move from custom one-off measurement engagements to always-on outcomes intelligence
• Stay ahead of industry shifts in measurement methodology, including the move toward incrementality as the new standard and the growing role of clean rooms in outcome attribution
• Define and track product success metrics including study turnaround time, methodology accuracy, client adoption, and renewal rates tied to measurement value

Requirements

• 3+ years of product management experience in ad tech, measurement, analytics, or data platforms
• Deep understanding of advertising attribution methodologies—conversion lift, brand lift, geo holdouts, incrementality testing, and multi-touch attribution
• Familiarity with the outcome signal landscape: retail data providers, foot traffic vendors, pixel-based conversion tracking, and 3P data onboarding
• Experience shipping measurement or analytics products that required close collaboration between data science, engineering, and client-facing teams
• Ability to navigate the tension between methodological rigor and commercial practicality
• Strong communicator who can make statistics feel intuitive to a media buyer and make business requirements feel precise to a data scientist
• Track record of executing in ambiguous, fast-moving environments where measurement standards and client expectations are constantly evolving
• Hustler mentality: build conviction with data, move with urgency, and close the loop between what is shipped and client value

Tech stack