Principal Product Manager, AI Applications

You are a Principal Product Manager that will lead key deliverables within Augury’s agentic industrial workforce.

This role sits at the intersection of industrial AI, process health, IoT, enterprise software, and operational workflows. You will define and scale agentic products that automate and optimize customer production capabilities and generate Augury’s new agentic SKUs.

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.

What You’ll Own

Agent for Operational Processes

You will own Augury’s Operations Agent — a persona-based AI agent built for production operations teams, process engineers, and shift supervisors. The Operations Agent connects to customer historians, process systems, and production data to monitor KPIs continuously, surface anomalies and root-cause hypotheses before they become incidents, and progress toward autonomous recommendations within customer-defined guardrails. You will drive this product from active design-partner validation through commercial launch.

Agent for Exploration

You will own the Industrial Data Exploration Agent — Augury’s cross-source investigation surface that enables reliability engineers, RSMs, and site users to query across machine health data, CMMS work orders, and historian process data through a unified natural language experience. Where today’s users navigate disconnected systems to build a single machine narrative, the Exploration Agent brings that context together in one conversation. This agent is both a standalone product and the shared intelligence surface that every persona-based agent in Augury’s suite builds on.

Additional Agentic Applications

You will define and sequence Augury’s emerging agent portfolio beyond the initial suite — including agents for maintenance planning, corporate intelligence, and cross-site analysis — and shape the longer-horizon vision for an Agent and Workflow Studio that enables customers to configure and deploy tailored industrial AI experiences across their operations. This means translating validated design-partner signals into prioritized expansion bets, developing the commercialization model for multi-agent offerings, and positioning Augury as the central platform for industrial data, intelligence, and action.

What You Bring

10+ years of technical Product Management or equivalent product leadership experience

Experience building and launching AI (agentic) applications

Deep familiarity with industrial environments — manufacturing, operations, maintenance, reliability, or supply chain — and the personas who work in them

Experience and understanding of building complex data systems

Proven track record taking complex products from ambiguity through launch and commercial impact — without someone defining the problem for you first

Familiarity with AI-native product development — you can drive decisions on agentic systems, LLM evaluation, and production AI reliability without needing an engineer to translate

Strong cross-functional leadership skills across Engineering, Design, Data Science, GTM, and customer-facing teams

Strong analytical, communication, and stakeholder management skills

Comfortable operating in fast-moving, ambiguous environments

Preferred

Experience at both large and small operations

Experience with industrial data sources: process historians, CMMS platforms, or equivalent operational enterprise systems

Experience with conversational AI, natural language interfaces, or AI-assisted workflow products

Experience partnering with design partners or strategic enterprise customers to co-develop and launch new product offerings

Why This Role Matters

Augury has spent over a decade building the world’s most trusted machine health platform — helping global manufacturers prevent failures, reduce unplanned downtime, and protect their most critical production assets. Now we are making a harder and more important bet: that AI agents can do more than alert and inform — they can reason, recommend, and act alongside the people running the world’s most critical production environments.

The agents you build here will not be demos or experiments. They will be deployed in active plants, used by real operators, and measured by the value they create in production. You will not be managing a feature roadmap — you will be defining what industrial AI looks like in practice, for some of the world’s largest industrial organizations.