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Product Manager, Energy and Critical Resources

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Avathon
Full Time position
Listed on 2026-10-05
Job specializations:
  • Engineering
    AI Business & Operations, Operations Management, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries – energy, mining, manufacturing, aerospace, defense, and logistics – accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management.

With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision‑making at industrial scale.

Cutting-Edge AI Innovation

-- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.

High-Growth Environment

-- Thrive in a fast‑scaling startup where agility, collaboration, and rapid professional growth are the norm.

Meaningful Impact

-- Work on AI‑driven projects that drive real change across industries and improve lives.

Learn more at:

We are looking for a Product Manager, Energy & Critical Resources to help define and shape Avathon’s next generation of Physical AI products for the global energy and resources ecosystem spanning oil & gas, power and utilities, renewables, and mining. You will own product strategy for cutting‑edge capabilities that apply agentic AI, operational intelligence, digital twins, predictive and prescriptive AI, and autonomous decision‑making to some of industry’s hardest problems from asset reliability and production optimization to grid and field operations, maintenance, supply chains, and increasingly autonomous operations.

Working alongside AI scientists, engineers, forward‑deployed teams, and industry leaders, you will translate complex real‑world operational challenges into scalable AI products capable of transforming how the world’s critical energy and resource infrastructure is operated.

What You’ll Work On
  • Define and lead next‑generation products that apply AI, operational intelligence, optimization, and autonomous decision‑making to complex physical operations from concept and validation through launch, adoption, and scale
  • Identify and prioritize high-value opportunities across asset reliability and integrity, predictive maintenance, production and process optimization, field operations, mine‑to‑mill operations, power generation optimization, grid operations, renewable asset performance, energy management, and operational planning
  • Partner with applied Science, Product and Forward‑Deployed Engineering teams to transform agentic AI, predictive and prescriptive models, optimization, digital twins, computer vision, and decision intelligence into repeatable, scalable products for industrial environments
  • Define how Avathon’s computational knowledge graph connects assets, processes, people, operating conditions, maintenance, production, and enterprise data to give AI the context required to reason and make decisions across complex operations
  • Work directly with energy producers, miners, utilities, power generators and distributors, renewable operators, engineers, and frontline operational teams to deeply understand operating constraints, validate product concepts, and identify opportunities for transformational impact
  • Translate complex operational challenges into clear product capabilities, workflows, KPIs, and measurable outcomes such as increased availability, production and throughput; reduced downtime and cost; improved reliability and safety; and greater operational autonomy
  • Partner across Product Engineering, AI…
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