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Axion Ray Inc. is seeking a Senior Product Manager to own the data foundation and onboarding experience of the Axion platform.
You will shape how raw customer quality data becomes a trusted workspace for engineers, from data handoff to their first actionable issues to investigate and resolve. In this senior IC role, you will collaborate with Engineering, Design, Solutions, and Operations to define the data product vision, strategy, and roadmap, turning manual setup into repeatable product
Experience measuring AI output quality: you've defined what "correct" looks like, used labeled examples, and shown whether a change made results better
Experience at a venture-backed startup
Hands-on data fluency: demonstrated experience owning data schemas, taxonomies, data ingestion pipelines, or similar data-product surfaces
A track record of turning implementation, onboarding, or operations work into repeatable product, with internal teams as your first users
5+ years of product management in B2B software, including a product built around messy customer data or AI output customers need to trust
Customer and operator judgment: you can work directly with a customer and the team doing the setup, run a focused pilot, and decide how to improve the product experience from the results
You're a builder and operator who thrives in fast-moving, high-accountability environments
You take pride in getting things done - thoughtfully, efficiently, and without drama
You value feedback - giving it, receiving it, and acting on it - and you see collaboration as a competitive advantage, not a burden
You're energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution
You're low-ego but high-agency: you care about winning as a team more than being right individually
You move quickly, communicate directly, and make decisions grounded in impact and data
You don't need constant direction - you create momentum
You take ownership for outcomes, and you expect the same from those around you
Background in data preparation, data quality, data labeling, or evaluation products
A past life in implementation, solutions, or customer onboarding before moving into product
Experience with taxonomies, classification systems, knowledge capture, or designing context for AI agents
Experience in manufacturing, quality, warranty, field service, or another complex operational domain