Product Manager, Machine Health & Industrial AI Workforce

Title: Product Manager, Machine Health & Industrial AI Workforce Location: US

Product Manager, Machine Health & Industrial AI Workforce

You are a Product Manager who will drive 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 help expand Augury's machine coverage and 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 hands-on role for someone who enjoys solving complex problems and wants to turn ideas into products with measurable customer impact.

A Day In Your Life

Support Machine Coverage Strategy

• Contribute to product strategy and roadmap for expanding Augury's machine coverage across asset types, environments, and customer segments
• Help develop scalable offerings that combine hardware, software, analytics, services, and AI
• Support 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
• Contribute to 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 Product Execution

• Lead product discovery, prioritization, roadmap planning, execution, launch, and post-launch measurement for your initiatives
• 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

Support Commercial Readiness

• Partner with GTM, Finance, and Operations teams on packaging, pricing, launch planning, and support models
• Help ensure offerings are technically strong, commercially clear, and operationally scalable

What You Bring

• 5-7 years of Product Management experience
• Experience building B2B SaaS, enterprise software, AI, IoT, or data-driven products
• Track record taking products from strategy through launch and measurable impact
• Strong cross-functional collaboration 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 edge technologies
• Experience partnering with strategic customers or Design Partners to develop new offerings

Why Join Augury You'll help shape the future of Industrial AI and build products that transform how manufacturers operate. This is an opportunity to work on meaningful technical challenges, partner with world-class teams, and deliver products that impact some of the world's largest industrial organizations.

We offer several perks that include flexible PTO, medical/dental/vision insurance, 401(k) match, stock options, paid parental leave, and WFH and phone stipend.

The pay range for this position in Colorado, California, and New York City is $160,000-$180,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. The pay offered may vary depending on several factors including, but not limited to, relevant education, qualifications, certifications, and experience.