Principal Product Manager, Data Platform - Analytics Experience

It’s an amazing time to be joining Netflix as we continue to transform entertainment. We deliver billions of hours of movies and TV shows per month to more than 220 million members in over 190 countries. At Netflix, we want to entertain the world. To achieve this, we must be able to rapidly build and ship innovative experiences for our members and creators all around the globe.
Within the Platform Engineering organization, our Data Platform exists to maximize the value of data throughout Netflix by improving the productivity and innovation of Netflix engineers, data scientists, machine learning practitioners, and business users. Our Data Platform enables Netflix to scale effectively and evolve rapidly by providing highly performant, secure, compliant, and flexible data infrastructure that supports the expanding needs of the business. Ultimately, we aim to democratize data by making it more accessible and useful to technical and non-technical employees.
The Opportunity
We are looking for a principal technical product manager to help drive the next evolution of our analytics experience at Netflix. Your mission is to simplify and accelerate data experience at Netflix and offer best-in-class experiences to Netflix software engineers, data engineers, analytics engineers, data scientists, machine learning practitioners, and business users.
Your focus will be on the end-to-end experience for our users who need to leverage our analytics platform to accomplish their work. You will lead the vision and strategy for our data development experience, remote analytics environments, Notebooks, data visualization, and business intelligence tools leveraged by technical and non-technical talent at Netflix to accomplish business-critical work. Examples of the types of opportunities you might tackle include developing a seamless end-to-end managed ETL platform to reduce friction and toil for our users, enabling semantic modeling at scale to improve self-service data analytics for multiple Netflix businesses, bringing our analytics platforms closer to ML practitioners and workflows and leveraging generative AI to improve our users' productivity. The scope and impact of this role is significant. You'll be responsible for managing a portfolio of products and driving holistic product strategy and prioritization across them.
If you’re looking for a deeply technical and highly dynamic opportunity that will have an outsized impact on the future of data stores at Netflix, we’d love to talk to you!

What You Will Do

• Deeply understand customer needs, product analytics, and industry innovation to drive the product vision and strategy, maximizing business and customer impact.
• Partner closely with senior management and engineering teams to define and align with stakeholders on vision, strategy, and roadmaps.
• Develop product roadmaps in partnership with relevant product and engineering teams that execute on product vision and strategy and inform our engineering teams of what problems need to be solved.
• Foster a metrics-driven environment that encourages quality experimentation and sets high standards for measuring product success.
• Stay informed about industry advancements, influence their direction, and conduct comprehensive buy vs. build analysis to align with state-of-the-art solutions, encouraging ROI-based decisions.
• Foster a collaborative environment with Netflix engineers, creating continuous feedback loops to ensure we solve the right problems and drive maximum impact for Netflix.
• Exhibit robust problem-solving and decision-making skills, tackling technical and strategic challenges in innovative ways and leveraging data and intuition to make strategic choices in the face of ambiguity and complexity.
• Ensure thoughtful product evolution that addresses product lifecycle and adoption experience.
• Help evolve our customer engagement model, communication strategy, prioritization, and planning/road-mapping practices.

What We’re Looking For

• 8+ years of experience as a Technical Product Manager with at least 3+ years of domain experience in data analytics platforms, data analytics experience, or ML platforms.
• Proven track record of managing and evolving a product portfolio and/or driving product vision and strategy
• A healthy blend of technical depth and deep domain expertise with a customer-focused mindset
• Demonstrated passion and experience in one or more of the following technologies: Compute engines (Spark, Trino), ETL Platforms, Notebooks and BI Tools
• Strategic thinker who can connect customer use cases to technology solutions and think holistically about the end-to-end experience
• Ability to manage a portfolio of bigger and smaller bets while balancing short-term goals and long-term vision
• Comfortable applying a combination of qualitative and quantitative methods to