NBCUniversal is seeking a Sr Technical Product Owner to work on enterprise products and agents utilizing Generative AI to create impactful solutions in areas such as conversational agents, and insights and analytics.
Requirements
- Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture
- Strong proficiency in SQL and Python for data manipulation and analysis
- In-depth knowledge of APIs and integration patterns for seamless connectivity and data exchange
- Understanding of ML lifecycle, Feature engineering, model drift, A/B testing, retraining
- Proficiency in analyzing complex data sets and drawing actionable insights to inform product strategy and decision-making
- Familiarity with tools such as MLflow, Weights & Biases, Databricks, LangChain, Pinecone, etc.
- Experience with Microsoft Azure tools like Function App, API Gateway
Responsibilities
- Collaborate with cross-functional teams and stakeholder community, including Program Management, Product, Engineering, Scrum, and leadership, to scope, develop, and implement GenAI products.
- Define and deliver long-term data product strategies for GenAI use cases to optimize performance and scalability.
- Develop a deep understanding of stakeholders needs to define detailed, actionable requirements and write user stories for engineering work.
- Perform product testing to ensure functionality, accuracy, and performance as well as conduct demos.
- Own and maintain products, utilizing feedback to iterate and refine features continuously.
- Drive the execution of product roadmaps, ensuring alignment with strategic goals and long-range plans.
- Partner with internal and external stakeholders throughout the end-to-end GenAI use case lifecycle.
Other
- 12+ years of related professional experience (e.g., experience in product management or development, ideally with a focus on AI or data)
- Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
- Proven ability to work effectively with engineering, data science, marketing, and other teams to deliver high-impact products
- Exceptional problem-solving skills, with the ability to break down complex challenges and drive actionable solutions
- This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
