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.
You’ve built AI agents and shipped them to production—not just prototypes
You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it
You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks
You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration
You think critically about LLMs—you understand how they work under the hood, not just how to call an API
You understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task
You have strong product sense—you focus on what users actually need, not just what’s technically interesting
You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback
You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps
You take ownership and drive things from idea to measurable impact
You communicate clearly—you can explain complex AI systems to anyone in the company
You stay current with the rapidly evolving AI landscape and bring new ideas to the team
You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments
Experience with advanced agent patterns or multi-agent systems
Experience building and configuring MCP (Model Context Protocol) servers
Open-source contributions to AI/ML projects
Familiarity with observability tools for LLM applications
Media, ad tech, or streaming data domain knowledge
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.
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way.
Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
