AI GTM Engineer

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. 

About the Role

Most companies are experimenting with AI in their GTM motion. We are not experimenting. We are building an AI-native revenue organization from scratch, and this is the person who leads that build.

Samba TV's core product is knowing what the world watches, in real time, at scale, across a billion consented devices. The Revenue team should be the most data-intelligent sales org in the industry, with our own data as the unfair advantage. Right now, it is not fully there yet. Your job is to close that gap.

There is a massive amount of signal available across our GTM stack. Gong call transcripts, Salesforce pipeline data, Snowflake viewership tables, Slack conversations, inbound intent signals, People AI data, calendar events, Hubspot leads, renewal timelines. Almost none of it is connected in a way that actually helps a seller do their job better. This role exists to change that. You will build the systems that tie those signals together, eliminate the manual thrashing that slows our team down, and create throughput where there is currently friction.

Claude is our primary AI platform across the Revenue Org. We need someone who is not just a power user but an expert who can architect reliable production systems, train others, and push what is possible in a GTM context. If you have been waiting to work somewhere that treats AI as infrastructure rather than a feature, this is the role.

What You’ll Do

Who You Are

Nice to have

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.

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Compensation: USD 175,000 – 215,000 per year salary