Product Manager, Outcomes & Attribution

Talantir; Los Angeles (CA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Samba is seeking a Product Manager for Outcomes & Attribution to own the end-to-end product roadmap, from conversion measurement to client reporting. You will work across data science, engineering, sales, and client success to implement rigorous measurement methodologies and scalable integrations with signal providers.

You will translate complex concepts such as incrementality and geo-based holdouts into actionable product specs and build repeatable study frameworks to drive always-on outcomes

Qualifications

• 3+ years of product management experience in ad tech, measurement, analytics, or data platforms.
• Strong understanding of attribution methodologies and measurement concepts.
• Experience shipping measurement or analytics products with cross-functional teams.

Responsibilities

• Own the end-to-end product roadmap for Samba's outcomes and attribution capabilities.
• Define requirements for attribution workflows from data ingestion to client reporting.
• Partner with data science, engineering, sales, and client success to build rigorous methods.
• Develop and expand integrations with outcome signal providers across verticals.
• Translate complex concepts like incrementality and geo-based holdouts into clear specs.
• Build repeatable study frameworks for always-on outcomes intelligence.
• Track metrics like turnaround time, accuracy, adoption, and renewal impact.

Skills

Product management

Ad tech

Analytics

Tools

Data platforms

Job description

Samba is seeking a Product Manager for Outcomes & Attribution to own the end-to-end product roadmap, from conversion measurement to client reporting. You will work across data science, engineering, sales, and client success to implement rigorous measurement methodologies and scalable integrations with signal providers.

You will translate complex concepts such as incrementality and geo-based holdouts into actionable product specs and build repeatable study frameworks to drive always-on outcomes