Associate Measurement Partner

🏢 Samba · 📍 New York City, New York · 💼 onsite · ⏰ US Full-time Salaried 💰 $75,000 - $95,000 / yr

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Position Summary & Responsibilities

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.

Samba is building the future of cross-channel media measurement, and we are seeking our next Associate Measurement Partner rockstar to build with us!

Samba is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world’s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more.

At Samba, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Associate Measurement Partner role collaborates cross-functionally within MSci as well as across departments to successfully execute the role’s day-to-day responsibilities, and reports to the Senior Manager, Measurement Science.

The Associate Measurement Partner

🎯 Candidate Preparation Guide For Samba Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Strict evaluation centers on large-scale TV telemetry data engineering, real-time analytics, and privacy-compliant audience measurement.

📋 Preparation Priorities (Key Areas to Clarify):

1. Ignoring privacy regulations (GDPR, CCPA) when discussing data aggregation
2. Proposing monolithic solutions incapable of handling petabyte-scale real-time streams
3. Treating TV viewership data like standard web analytics without accounting for household-level viewing patterns

✨ Recommended Role Alignment Hook:

I engineer privacy-safe, petabyte-scale CTV data pipelines that transform fragmented viewership telemetry into actionable audience insights.

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