Senior Product Manager (Data & Onboarding)

Axion Ray Inc.

United States

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Employee stock option program
Health Savings Account (HSA)
Unlimited paid time off (PTO)
Relocation support
Commuter benefits
Comprehensive healthcare coverage (100
12 weeks of paid parental leave (birth
Daily lunch credit when you’re in the?
401(k) plan with optional supplemental

Job summary

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

Qualifications

  • 5+ years of product management in B2B software, including a product built around messy customer data or AI output customers need to trust.
  • Hands-on data fluency: demonstrated experience owning data schemas, taxonomies, data ingestion pipelines, or similar data-product surfaces.

Responsibilities

  • Own the data foundation and onboarding experience of the Axion platform, from data handoff to a usable workspace.
  • Collaborate with customers, engineering, and operations to define the vision, strategy, and roadmap for our data products.
  • Turn manual setup work into repeatable product capability to reduce onboarding time and internal effort.

Job description

  • We’re looking for a Senior Product Manager to own the data foundation and onboarding experience of the Axion platform: how a customer’s raw quality data becomes a workspace engineers trust, from data handoff to their first actionable issues to investigate and resolve
  • Product quality problems affect safety, cost, and the people who use what manufacturers build. The data behind those issues arrives messy, inconsistent, and full of domain language. How well we turn it into something quality engineers can trust sets how fast customers launch, how much effort it takes us, and how good Axion’s AI and agents are after launch
  • Your first priority is making onboarding fast and repeatable while keeping the data and AI output trustworthy. You’ll set the product direction for how Axion understands customer data
  • This is a senior individual contributor role working closely with Engineering, Design, Solutions, and Operations. You’ll thrive here if you like getting into real customer data, working side by side with engineers, and building AI products people have to trust
  • Own the path from data handoff to a usable workspace: data setup, transformations, mappings, readiness, and a customer’s first useful issues
  • Collaborate with customers, engineering, and operations to define the vision, strategy, and roadmap for our data products, aligning these with company goals and user needs
  • Turn manual setup work into repeatable product capability, so each new customer takes less time and internal effort to bring on
  • Decide how customer data is structured, linked, classified, and turned into issues, and how that evolves as the product and our AI change
  • Capture what Axion needs to know about a customer’s products, components, and failure modes during onboarding, and use it to improve classification, seed the customer’s knowledge hub, and give AI agents better context
  • Learn from every onboarding alongside Solutions, Operations, and customers, and feed what you learn back into the product
Benefits
  • Employee stock option program
  • Health Savings Account (HSA)
  • Unlimited paid time off (PTO)
  • Relocation support
  • Commuter benefits
  • Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
  • 12 weeks of paid parental leave (birthing parents)
  • Daily lunch credit when you’re in the office (around $20/day)
  • 401(k) plan with optional supplemental life, disability, and more

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

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