The Product Manager will oversee outcomes product suite, connecting media exposure to business results through data integrations, methodologies, and client reporting while ensuring product scalability and success metrics.
Samba 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 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
Samba 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.
Samba TV New York, New York, USA Office
114 W 26th St, New York, NY, United States, 10001
Similar Jobs
Fintech • Financial Services
Frontline branch role building customer relationships, supporting account openings, service requests, credit applications, and teller cash-handling. Drive branch growth through discovery conversations, referrals, digital tools, and compliant service while collaborating with teammates.
14 Hours Ago
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Senior IAM Developer responsible for designing, developing, and supporting IAM capabilities. Focus on SailPoint IIQ, Java customization, and Python automation.
Top Skills:
JavaJavabeansLdapMicrosoft Power PlatformOauthOpenid ConnectPythonSailpoint IdentityiqSAMLScim
14 Hours Ago
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead strategy and execution for enterprise intelligence by framing complex AI, data, and technology questions; partner with senior leaders to design and deploy intelligence products; create executive- and Board-level communications; run cross-functional initiatives and governance; and support enterprise planning, portfolio management, and adoption of AI-enabled capabilities.
Top Skills:
Advanced AnalyticsAgileAICloud PlatformsEnterprise Data CapabilitiesMachine LearningSaaS
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
