Product Manager - Outcomes & Attribution

SambaSan Francisco, CA

About The Position

Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel. Samba TV is seeking a Product Manager to own our outcomes product suite. You'll be responsible for how we connect TV and digital media exposure to real-world business results—from website conversions to tune-in, brand lift, movie box office sales, and working with partners in the space. This role sits at the core of Samba's value proposition: proving that advertising works, and helping our clients understand exactly how and why. Outcomes measurement is the ultimate currency of modern advertising. Brands don't just want to know who saw their ad—they need to know what happened next. As the industry moves towards true business outcomes, Samba is uniquely positioned to bridge the gap between TV viewership and web intelligence and measurable real-world impact. You'll ensure our outcomes products are the most credible, scalable, and actionable in the market.

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—knowing when perfect is the enemy of shipped
  • 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: you build conviction with data, move with urgency, and close the loop between what we ship and what clients actually value

Responsibilities

  • 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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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