Axion
Axion
Axion develops an AI-powered product-quality platform for complex hardware manufacturers. Its enterprise SaaS brings together customer, service, field, and telematics data with operational workflows and expert knowledge, helping B2B teams identify root causes, investigate issues, and monitor corrective actions. The platform is designed to help manufacturers address product and field problems earlier, improve resolution processes, and reduce warranty-related costs. Axion serves organizations across manufacturing, automotive, and defense.

Senior Product Manager, Data & Onboarding

Lead data foundations and customer onboarding for Axion’s AI-powered manufacturing quality platform. Turn complex customer data into trusted workspaces and actionable quality issues.

Description

  • Own the journey from data handoff to a usable workspace, covering setup, transformations, mappings, readiness, and the customer’s first actionable issues.
  • Partner with customers, Engineering, and Operations to shape the vision, strategy, and roadmap for data products.
  • Connect product priorities to company objectives and user needs.
  • Convert manual setup activities into repeatable product capabilities that shorten onboarding and reduce internal effort.
  • Define how customer data is structured, connected, classified, and converted into issues.
  • Adapt data structures as the product and its AI capabilities evolve.
  • Document customer product, component, and failure-mode information during onboarding.
  • Apply onboarding data to improve classification, populate the customer knowledge hub, and provide stronger context for AI agents.
  • Use feedback from each onboarding with Solutions, Operations, and customers to inform product improvements.
  • Serve as a senior individual contributor across Engineering, Design, Solutions, and Operations.

Requirements

  • At least five years of product management experience in B2B software.
  • Experience building products around complex customer data or AI outputs that customers must be able to trust.
  • Strong practical fluency with data.
  • Experience owning data schemas, taxonomies, ingestion pipelines, or comparable data-product surfaces.
  • Experience evaluating AI output quality against defined correctness criteria and labeled examples.
  • Demonstrated ability to turn implementation, onboarding, or operations work into repeatable product capabilities.
  • Ability to work directly with customers and setup teams, run focused pilots, and improve products based on results.
  • Experience in a venture-backed startup.
  • Experience in manufacturing, quality, warranty, field service, or another complex operational domain is preferred.
  • Background in data preparation, data quality, data labeling, or evaluation products is preferred.
  • Experience with taxonomies, classification systems, knowledge capture, or designing context for AI agents is preferred.
  • Prior experience in implementation, solutions, or customer onboarding before transitioning to product is preferred.

Benefits

  • Work with advanced AI technology applied to tangible manufacturing challenges.
  • Join a collaborative, mission-driven team with supportive leadership.
  • Generous time off.
  • Competitive compensation.
  • Equity.
  • Benefits package.
  • A culture that respects time off and personal boundaries.
  • Support for balancing periods of intensity with time to recharge.

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