Principal Product Manager, Machine Health & Industrial AI Workforce

Augury is a leader in Industrial AI, helping manufacturers leverage real-time production insights for efficiency. The Principal Product Manager will lead initiatives across Machine Health and Industrial AI Workforce offerings, defining and scaling products while collaborating with various teams to drive customer impact.

Responsibilities:

• Own product strategy and roadmap for expanding Augury’s machine coverage across asset types, environments, and customer segments
• Develop scalable offerings that combine hardware, software, analytics, services, and AI
• Drive solutions that balance coverage expansion, diagnostic quality, operational scalability, and customer trust
• Partner with Engineering, AI, and Data Science teams to bring AI-powered workflows and agentic experiences to market
• Shape products that support reliability, maintenance, and operations workflows, including root cause analysis, asset strategy, and production optimization
• Translate customer pain points into scalable AI-enabled solutions
• Lead product discovery, prioritization, roadmap planning, execution, launch, and post-launch measurement
• Align stakeholders across technical, operational, and commercial teams
• Deliver products that drive adoption, customer value, and business impact
• Engage directly with strategic customers and Design Partners to validate solutions and gather feedback
• Develop a deep understanding of plant operations, maintenance workflows, and operational challenges
• Build products grounded in real-world industrial use cases
• Partner with GTM, Finance, and Operations teams on packaging, pricing, launch planning, and support models
• Ensure offerings are technically strong, commercially clear, and operationally scalable

Requirements:

• 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
• 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