AI Product Strategy & Execution
- Own the product roadmap for AI-powered productivity tools that accelerate internal workflows across sales/service, engineering, data science, and operations teams as well as legal, finance, human resources, and marketing teams
- Define and execute the integration strategy for AI capabilities and Model Context Protocol (MCP) implementations in customer-facing products such as analytics, audience targeting, and campaign optimization products
- Drive product decisions that leverage our data science infrastructure and proprietary datasets to create differentiated AI features
- Balance technical feasibility with business impact, working directly with engineering and data science leadership to scope and prioritize initiatives
Customer & Market Focus
- Define product requirements for AI features serving both internal stakeholders and external advertising clients
- Translate complex data science capabilities into accessible, high-value products for agencies, brands, and internal media planning teams
- Establish metrics and frameworks to measure AI product performance, user adoption, and ROI
- Conduct competitive analysis and identify emerging AI opportunities in ad tech, particularly in audience modeling, campaign intelligence, and creative optimization
Industry Leadership & Advocacy
- Represent the company at industry conferences, panels, and technical forums
- Contribute to AdCP (Advertising Common Protocol) and other industry standards initiatives shaping the future of advertising technology
- Build relationships with key players in the AI, ad tech, and measurement ecosystems
- Communicate product vision and technical insights through presentations, thought leadership, and external engagement
WHAT YOU BRING
- 6+ years in product management with at least 2 years in AI/ML products or data-intensive platforms
- Deep understanding of advertising technology, including programmatic, measurement, audience targeting, or analytics
- Proven track record launching AI products at scale, with measurable business impact
- Technical fluency to collaborate with ML engineers and data scientists on model development, evaluation, and productization
- Experience with both internal tooling/productivity products and customer-facing B2B products
- Strong grasp of LLM capabilities, limitations, and integration patterns including MCP and agentic workflows
- Understanding of modern data infrastructure, ML ops, and how to leverage existing data science resources
- Ability to assess technical tradeoffs in AI product decisions (accuracy vs. latency, custom models vs. foundation models, etc.)
- Familiarity with privacy frameworks and responsible AI practices in advertising contexts
- Excellent written and verbal communication skills with ability to explain complex technical concepts to diverse audiences
- Track record of influencing cross-functional teams without direct authority
- Comfortable operating with ambiguity and making decisions with incomplete information
- Experience speaking at industry events or contributing to technical working groups preferred
- Current understanding of the ad tech landscape including identity, measurement, privacy regulations, and industry standards bodies
- Awareness of how AI is disrupting traditional advertising workflows (creative, targeting, optimization, measurement)
- Familiarity with AdCP or similar industry initiatives a plus
Why This Role Matters
- You'll be at the intersection of AI innovation and advertising transformation, with the autonomy to shape both how we work internally and what we deliver to customers. Your work will directly impact revenue-generating products while also making the company more efficient and competitive. You'll have a platform to influence not just our products but the direction of AI in advertising through your external presence.
- This is a high-visibility IC role with direct access to executive leadership and the opportunity to define the next generation of AI-powered advertising products.
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.
