Principal Product Manager, AI Applications

Augury Augury · Vertical AI · Bengaluru India · Product Management

Principal Product Manager to lead AI applications in the industrial sector, focusing on defining and scaling agentic products that automate and optimize customer production capabilities. The role involves owning AI agents for operational processes and industrial data exploration, and shaping the future agent portfolio and platform vision. Requires deep experience in technical product management, AI agent applications, and industrial environments.

What you'd actually do

  1. You will own Augury’s Operations Agent — a persona-based AI agent built for production operations teams, process engineers, and shift supervisors.
  2. 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.
  3. 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.
  4. Partner closely with Engineering, Data Science, Design, GTM, Operations, and strategic customers to take products from concept through launch and adoption.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • Experience building and launching AI (agentic) applications
  • 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

Other signals

  • AI agents
  • LLM evaluation
  • production AI reliability
  • agentic industrial workforce
  • industrial AI