Quick overview
Job description
What You'll Do:
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Own the end-to-end product roadmap for Samba's outcomes and attribution capabilities, including conversion measurement, lift studies, and third-party data integrations
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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
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Partner cross-functionally with data science, engineering, sales, and client success to build measurement methodologies that are both statistically rigorous and commercially compelling
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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
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Translate complex measurement concepts—incrementality, matched market testing, geo-based holdouts, media mix modeling—into clear product specs and client-ready narratives
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Build repeatable, scalable study frameworks that enable clients to move from custom one-off measurement engagements to always-on outcomes intelligence
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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
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Define and track product success metrics including study turnaround time, methodology accuracy, client adoption, and renewal rates tied to measurement value
Who You Are:
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3+ years of product management experience in ad tech, measurement, analytics, or data platforms
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Deep understanding of advertising attribution methodologies—conversion lift, brand lift, geo holdouts, incrementality testing, and multi-touch attribution
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Familiarity with the outcome signal landscape: retail data providers, foot traffic vendors, pixel-based conversion tracking, and 3P data onboarding
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Experience shipping measurement or analytics products that required close collaboration between data science, engineering, and client-facing teams
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Ability to navigate the tension between methodological rigor and commercial practicality—knowing when perfect is the enemy of shipped
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Strong communicator who can make statistics feel intuitive to a media buyer and make business requirements feel precise to a data scientist
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Track record of executing in ambiguous, fast-moving environments where measurement standards and client expectations are constantly evolving
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Hustler mentality: you build conviction with data, move with urgency, and close the loop between what we ship and what clients actually value
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