Senior Product Manager

GridCARERedwood City, CA
$170,000 - $210,000Hybrid

About The Position

GridCARE is seeking a hands-on Senior Product Manager to drive the development of its AI-powered product suite. This role reports to the Head of Product and involves end-to-end ownership of key product areas, from discovery and definition through prototyping, delivery, and iteration. The position focuses on the intersection of energy systems and agentic AI, requiring a hands-on approach to building and shipping product-native AI agents. The ideal candidate will prototype, write specifications, manage multiple product workstreams concurrently, operate with autonomy, and communicate effectively with engineers, leadership, and external partners. This role is for a product leader energized by building in an AI-first product environment.

Requirements

  • Hands-on experience building AI agents (personally built AI agents by writing code, wiring tools and models together, or iterating working prototypes).
  • A hands-on builder who prototypes alongside engineering and ships working software, taking AI agents from prototype to production.
  • Fluent, daily use of AI tools across workflow (research, specs, prototyping, analysis), and genuine enthusiasm for an AI-first product environment.
  • Program management of multiple concurrent workstreams (at least three distinct projects in parallel, each with its own milestones).
  • Excellent communication, including direct interaction with external partners (clear and credible with engineering, leadership, and customer- and partner-facing audiences).
  • Ability to work with little guidance in an ambiguous, fast-moving startup environment.
  • 5+ years of product management experience, including roadmapping, prioritization, and requirements ownership.

Nice To Haves

  • Mission-driven enthusiasm for the energy transition.
  • Energy industry or power markets background.
  • Experience working with grants or public-sector bodies.
  • Familiarity with SCRUM best practices, Jira, or Linear.
  • An engineering background (EE, CS, or related), or equivalent technical depth through work experience.

Responsibilities

  • Build prototypes alongside engineering, working directly in agent-building tools.
  • Lead the design and development of product-native AI agents from prototype to production, defining behavior, evaluating outputs, and iterating on agentic systems.
  • Use AI tools daily for research, spec-writing, prototyping, evaluation, and analysis.
  • Transition internal-grade tools to product quality by hardening UX, reliability, and scalability for external customers.
  • Own at least three distinct product projects concurrently, managing milestones, dependencies, and delivery timelines.
  • Build and maintain prioritized roadmaps that balance near-term customer needs with long-term platform scalability.
  • Drive cross-functional sprint planning and execution across engineering, data science, and subject-matter experts.
  • Define success metrics and OKRs, monitor product performance, and synthesize learnings for future development.
  • Engage directly with external partners (utilities, data center customers, hyperscalers, government/public-sector bodies) on high-visibility projects.
  • Drive requirements gathering, milestone tracking, and preparation of external presentations and briefings.
  • Translate technical inputs from power systems engineers into actionable product requirements and engineering briefs.
  • Collaborate with sales, marketing, ops, and strategy to align product direction with go-to-market needs.
  • Operate with a high degree of autonomy, setting direction, unblocking oneself, and making sound decisions amid ambiguity.
  • Own the full product lifecycle: PRD authorship, hands-on prototyping, sprint execution, launch, and post-launch iteration.

Benefits

  • Competitive salary
  • Performance bonus
  • Equity
  • Comprehensive health, dental, and vision coverage
  • Lunch is provided when in the office
  • Access to leading academic, industry, and government partners in the AI-energy ecosystem.
  • A mission-driven team focused on shaping the future of the energy transition.
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