What You'll Do
Support product managers in defining requirements, writing specs, and tracking delivery for AI and operations-focused product initiatives
Assist in researching AI tools, models, and frameworks to inform product strategy and roadmap decisions
Help maintain and improve internal product operations: documentation, process tracking, sprint hygiene, and cross-functional coordination
Analyze product usage data and synthesize findings to inform prioritization decisions and measure success of AI driven improvements
Participate in sprint ceremonies, product reviews, and stakeholder meetings — contributing notes, action items, and follow-ups
Collaborate with Engineering, Data, and Design teams to support feature development from ideation through launch
What We're Looking For
Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Business, or a related field
Genuine interest in AI/ML products and how intelligent systems are built and applied in production
Strong analytical and structured thinking skills — comfortable breaking down complex problems
Clear written and verbal communication; able to translate technical concepts for non-technical stakeholders
Detail-oriented and highly organized, with the ability to manage multiple workstreams simultaneously
Prior experience with product tools (e.g., Jira, Notion, Figma) or familiarity with AI/ML concepts is a plus
Top Skills
What We Do
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.
