Senior Director, Product Management

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Job Description

We are seeking a visionary product leader to define and deliver a new AI-based platform powering a new family of Instream Video Intelligence (ISVI) products. As Senior Director of Product, you'll be responsible for setting the platform strategy, roadmap, and delivery of new products that leverage Vision Language Models (VLMs) and related GenAI video technologies. Define and prioritize platform capabilities including ingestion pipelines, video understanding workflows, ontology frameworks, embeddings, vector/graph infrastructure, and VLM model orchestration required to power next-generation metadata products.

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 Instream Video Intelligence platform 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, discovery. and other products.

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 VLM technology in the entertainment metadata industry and can execute to fruition.

Responsibilities

Own the Gracenote ISVI platform 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 vision language models, coordinating deliverables and timing with your Product counterparts in the US.

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

Qualifications

10+ years experience leading technology product teams.

Demonstrated and detailed knowledge of the capability, potential, and pitfalls of language models and probabilistic technologies.

Strong understanding of internet-scale platform architecture, with a proven ability to define, evaluate, and prioritize Non-Functional Requirements (NFRs) such as scalability, reliability, security, and performance.

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.

Preferred: Experience in understanding and overcoming the business and technical challenges of the CTV/entertainment metadata space.

Additional Information

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