Principal Product Manager, Machine Health & Industrial AI Workforce
Augury
| Company | Augury |
| Category | Data & Analytics |
| Location | US |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 21 May 2026 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. You are a Principal Product Manager that will lead key initiatives across Machine Health and Augury’s emerging Industrial AI Workforce offerings.
This role sits at the intersection of industrial AI, machine health, IoT, enterprise software, and operational workflows. You will define and scale products that expand Augury’s machine coverage while helping bring AI-powered experiences to reliability, maintenance, and operations teams.
You will partner closely with Engineering, Data Science, Design, GTM, Operations, and strategic customers to take products from concept through launch and adoption. This is a highly strategic and hands-on role for someone who thrives in complex environments and enjoys turning ambitious ideas into scalable products with measurable customer impact.
A Day In Your Life
Define and Scale Machine Coverage Strategy
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
Build Industrial AI Offerings
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
Drive End-to-End Product Execution
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
Partner Closely with Customers
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
Shape Commercial Readiness
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
What You Bring
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
Preferred
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