Senior Product Manager, Energy AI Platform

Applied Computing

United States

Remote

USD 160.000 - 240.000

Vollzeit

14 Tage+

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Zusammenfassung

Applied Computing in the energy tech space seeks a Product Manager to own delivery for Orbital, a physics-informed foundation model for energy operations. You will spend time with operators in petrochemicals to translate real-world workflows into product capabilities that enable faster, safer decisions.

You will work with AI researchers, ML engineers, and account managers to shape a roadmap, balance customer needs with technical feasibility, and drive adoption across downstream processes.

Qualifikationen

  • 5+ years as a Product Manager in enterprise B2B SaaS or deep-tech.
  • Experience with physics, chemistry, heavy industry, manufacturing or AI, UI/UX and workflows.
  • Direct experience in Oil & Gas or Energy, ideally downstream.
  • A track record of inventing tech products.
  • Comfort operating with ambiguity, incomplete data, and evolving customer needs.
  • Clear, structured written and verbal communication — able to represent customer needs to a technical audience and technical trade-offs back to customers

Aufgaben

  • Own product strategy and roadmap for Orbital area.
  • Spend regular time with customers to learn their problems and translate into features.
  • Collaborate with AI researchers, ML engineers, full stack engineers, PMs and account managers.
  • Translate downstream operational challenges into a prioritised backlog.
  • Ensure adoption and measurable value from Orbital in downstream O&G workflows

Kenntnisse

PM experience
Physics/energy domain
Oil & Gas exposure
Tech product invention
Communication

Jobbeschreibung

Applied Computing in the energy tech space seeks a Product Manager to own delivery for Orbital, a physics-informed foundation model for energy operations. You will spend time with operators in petrochemicals to translate real-world workflows into product capabilities that enable faster, safer decisions.

You will work with AI researchers, ML engineers, and account managers to shape a roadmap, balance customer needs with technical feasibility, and drive adoption across downstream processes.

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