Product Manager - Outcomes & Attribution

Los Angeles, California / New York City, New YorkProduct – Product Management Office /International Full Time Employee /On-siteSamba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. 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 integrationsDefine requirements for attribution workflows—from third-party exposure or outcome data ingestion and audience matching to control group construction, results computation, and client-facing reportingPartner cross-functionally with data science, engineering, sales, and client success to build measurement methodologies that are both statistically rigorous and commercially compellingDevelop 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 signalsTranslate complex measurement concepts—incrementality, matched market testing, geo-based holdouts, media mix modeling—into clear product specs and client-ready narrativesBuild repeatable, scalable study frameworks that enable clients to move from custom one-off measurement engagements to always-on outcomes intelligenceStay 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 attributionDefine and track product success metrics including study turnaround time, methodology accuracy, client adoption, and renewal rates tied to measurement valueWho You Are: 3+ years of product management experience in ad tech, measurement, analytics, or data platformsDeep understanding of advertising attribution methodologies—conversion lift, brand lift, geo holdouts, incrementality testing, and multi-touch attributionFamiliarity with the outcome signal landscape: retail data providers, foot traffic vendors, pixel-based conversion tracking, and 3P data onboardingExperience shipping measurement or analytics products that required close collaboration between data science, engineering, and client-facing teamsAbility to navigate the tension between methodological rigor and commercial practicality—knowing when perfect is the enemy of shippedStrong communicator who can make statistics feel intuitive to a media buyer and make business requirements feel precise to a data scientistTrack record of executing in ambiguous, fast-moving environments where measurement standards and client expectations are constantly evolvingHustler mentality: you build conviction with data, move with urgency, and close the loop between what we ship and what clients actually value$135,000 - $180,000 a yearSamba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.