Job Description

We are seeking a visionary product leader to define and deliver a new generation of Gracenote products. As Dir of Product LLM, you'll be responsible for setting the product strategy, roadmap, delivery, and ultimate commercial success of new products that leverage Large Language Models (LLMs), Small Language models (SLMs), MCP, and related grounding technologies. You will work with a team of product experts in their field, and report to Gracenote’s SVP of Product.

Gracenote AI is an exciting new growth vector for Gracenote. This role will be hugely impactful in shaping commercial strategy, product strategy, and pricing to mature our LLM-based products in a rapidly-evolving technological landscape, and will play a significant role in how Gracenote helps the world's largest CTV apps and platforms power search and discovery.

The ideal candidate is a strategic thinker who can also roll up their sleeves and contribute directly to the success of these emergent products. This role requires an experienced practitioner with a solutions-oriented mindset who understands the potential of language models in the entertainment metadata industry and can execute to fruition.

Responsibilities

• Own the Gracenote LLM/MCP roadmap. Define and deliver LLM and Grounding products and platforms that anticipate the needs of the entertainment industry, with a specific focus on Video and Sports in Connected Television (CTV).
• Work with a team of talented product managers, sharing knowledge, and aligning Gracenote’s expertise in entertainment metadata with the rapidly evolving capabilities of language models.
• Collaborate with internal cross-functional stakeholders and external partners to evangelize and articulate Gracenote’s AI vision and strategy.
• Coordinate with Engineering colleagues and counterparts to ensure development resources are aligned with product priorities; collaborate with engineering, data science, UX, commercial, and external partners to deliver exceptional products.
• Engage with customers to understand their problems and ensure we are building products with strong commercial potential.

Qualifications

• 7+ years experience leading technology product teams.
• Demonstrated and detailed knowledge of the capability, potential, and pitfalls of language models and probabilistic technologies.
• Applied experience in creating products that leverage language models to address domain-specific use cases, ideally employing large-scale, authoritative datasets.
• Strong executive disposition and communication skills, with the ability to build trust in evolving data and technology environments.
• Experience in understanding and overcoming the business and technical challenges of the CTV/entertainment metadata space.

Related Reading

https://gracenote.com/products/video-mcp-server/

https://www.streamtvinsider.com/technology/gracenote-gives-ai-llm-based-content-discovery-data-assist

 

#LI-AW1

Additional Information

Enabling your best to power a better media future. Our comprehensive benefits package (including health & wellness plans, 401(k) retirement coupled with a Nielsen match, a generous paid time off policy, company provided car for those who qualify, and if eligible, a discretionary incentive/bonus) is designed to be inclusive for all employees and families, and we take pride in ensuring that employees are rewarded holistically for the role they are doing and their performance.

A reasonable estimated salary range for a new employee has been provided. It would be adjusted based on each employee's geographic location. The position of each employee within a compensation range at Nielsen is dependent on several individual circumstances, such as experience, training, certifications and other business requirements/needs.

Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.