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Salary: USD 140,000 - 185,000 / annual
Senpilot is building AI agents that help electric utilities operate smarter, faster, and more reliably by automating engineering workflows, regulatory filings, and compliance. The company is creating an intelligence layer for the modern grid—AI systems that understand utility data, reason across it, and act autonomously to improve safety, resilience, and efficiency.
You will serve as the Subject Matter Expert and resident utility engineer behind Senpilot's Engineering AI Agent. This is a hands-on, doer role that bridges how utility engineering actually works with how the product models it. You will be the quality gatekeeper for the product, ensuring outputs meet gold-standard utility practices, and you will be the peer-level expert representing engineering perspectives to utility asset management and planning teams.
Key responsibilities include:
- Own domain quality for the Engineering AI Agent by reviewing outputs, building test cases, identifying edge cases, and defining product assumptions when data is incomplete
- Translate messy utility engineering workflows into well-scoped product requirements and define gold-standard processes
- Support the commercial team as the engineering expert: lead discovery calls, present to utility engineering leadership, and scope pilot programs
- Support implementations end-to-end: onboard planning and asset management teams, encode their workflows as product skills, and run training workshops
- Work directly with customers on real engineering problems (asset health scores, capital plan defensibility) and feed learnings back into the roadmap
- Build institutional knowledge: reusable skills, worked examples, and manuals that compound your expertise into the product
This role reports to the VP of Strategy and Operations and requires deep engagement with models, data, and the product itself.
REQUIREMENTS:
- 5+ years in distribution engineering at an electric utility with hands-on ownership of asset management, system planning, capital planning, or reliability work, having personally built or defended the analysis
- Depth in some combination of: asset management, capital prioritization, load forecasting, grid modernization, power flow, and/or storm and resiliency planning
- Working familiarity with GIS, SCADA, OMS, or ADMS data, and experience supporting grid analytics or data modernization efforts
- Fluency in day-to-day work products of engineering, finance, and regulatory teams, and ability to define how these artifacts tie into the platform
- Product quality reflex: addressing customer questions, advocating for product improvements, building test cases and benchmarks
- Comfort presenting to customers at all levels (engineers, management, executives) and running workshops
- Ability to make defensible assumptions with incomplete information and balance priorities
- Fluency with modern AI tools (Claude, Codex, etc.) and large datasets is a must; coding and personal projects are a plus but not required
- P.Eng or history of presenting to regulators/industry audiences is a plus
