Principal Product Manager, Machine Health & Industrial AI Workforce

Augury Augury · Vertical AI · United States · Product Management

Principal Product Manager for Machine Health & Industrial AI Workforce at Augury. This role focuses on defining and scaling products at the intersection of industrial AI, machine health, IoT, and enterprise software. The PM will partner with Engineering, Data Science, and GTM teams to bring AI-powered workflows and agentic experiences to market, focusing on expanding machine coverage and delivering AI-enabled solutions for reliability, maintenance, and operations teams. The role requires strong product leadership, cross-functional collaboration, and experience in B2B SaaS, enterprise software, and AI/ML products, particularly in industrial or operational technology environments.

What you'd actually do

  1. Own product strategy and roadmap for expanding Augury’s machine coverage across asset types, environments, and customer segments
  2. Partner with Engineering, AI, and Data Science teams to bring AI-powered workflows and agentic experiences to market
  3. Lead product discovery, prioritization, roadmap planning, execution, launch, and post-launch measurement
  4. Engage directly with strategic customers and Design Partners to validate solutions and gather feedback
  5. Partner with GTM, Finance, and Operations teams on packaging, pricing, launch planning, and support models

Skills

Required

  • 10+ years of Product Management or equivalent product leadership experience
  • Experience building and scaling B2B SaaS, enterprise software, AI, IoT, or data-driven products
  • Proven track record leading products from strategy through launch and measurable impact
  • Strong cross-functional leadership skills across Engineering, Design, Data Science, GTM, and customer-facing teams
  • Ability to simplify complex technical and business problems into clear product decisions
  • Strong analytical, communication, and stakeholder management skills
  • Comfortable operating in fast-moving, ambiguous environments

Nice to have

  • Experience in industrial, manufacturing, operational technology, asset-heavy, or supply chain environments
  • Experience with AI/ML products, workflow automation, predictive analytics, or agentic AI systems
  • Experience with hardware/software platforms, sensors, IoT, or edge technologies
  • Experience partnering with strategic customers or Design Partners to develop new offerings

What the JD emphasized

  • AI Workforce offerings
  • AI-powered experiences
  • agentic experiences
  • AI-enabled solutions

Other signals

  • Industrial AI
  • AI-powered experiences
  • AI-enabled solutions
  • agentic experiences