Principal Product Manager, Data Products

What you'll do

• Own the vision, strategy, and roadmap for data products, including granular event datasets and cross-domain data flywheels.
• Partner with ML scientists and product teams to translate data needs into product specifications and predictive insights.
• Lead ambiguous, executive-sponsored initiatives; align stakeholders, represent work to senior leaders, and mentor other product managers.

What they ask for

• Bachelor’s degree in a technical field or equivalent practical experience.
• 12+ years of product management experience with a Bachelor’s, or 10+ years with a Master’s, including significant time building data platforms or data products.
• Hands-on experience building granular, event-level or sub-entity data products for machine learning training; experience partnering directly with ML scientists.
• Strong data architecture, data modeling, and modern data technologies knowledge, including ability to write and decompose SQL.

Nice to have

• Experience building data products for agentic or generative AI; hands-on real-time data, APIs, and streaming experience such as Kafka or Kinesis.
• Experience in travel, e-commerce, marketplaces, or another high-scale consumer domain; cross-domain data programs or product-management mentorship.

Pay

$224,000.00 to $313,500.00 USD total cash; up to $358,500.00 USD total cash (top of range)

Tools

SQL, Kafka, Kinesis, APIs

AI focus

Builds data products and datasets for machine learning training, personalization, predictive intelligence, and agentic or generative AI experiences.