Salary
$135k – $180k per year
Location
In office (Los Angeles)
Seniority
Middle · 3+ years exp
Employment
Internship
Overview
Company
Impact
Profile match
Samba TV measures television viewing through software embedded in smart TVs from major manufacturers. Advertisers use the resulting panel to see which households saw a campaign and to target follow-up advertising on other devices. The company operates across dozens of countries and publishes regular viewership research.
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
Who You Are:
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
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