# Distribution Engineering AI - Subject Matter Expert at Senpilot

- Company: Senpilot
- What the company does: A secure, purpose-built AI platform for utilities. Engineering plans the work, Regulatory files the evidence, Customer service takes the call — autonomously. Backed by Hyperplane Venture Capital.
- Company website: https://senpilot.com
- Type: Startups (AI role)
- Level: Mid level
- Location: New York, United States
- Work setup: On-site
- Pay: $140K to $185K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://jobs.gem.com/senpilot/am9icG9zdDpJX05AXrcNVLdLQMZvudqK?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/senpilot-distribution-engineering-ai-subject-matter-expert/

## About the role

Joining Senpilot means joining a small, high-performance team that combines deep expertise in AI systems, data engineering, and energy infrastructure. We focus on generating value and we run toward the hard problems because that's where the value is. If you want to join a fast-growing team and help build the future of intelligent infrastructure, this is the place to do it. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Own domain quality for the Engineering AI Agent: review outputs, build test cases, find the edge cases, and define the assumptions the product makes when data is incomplete
- Translate messy utility engineering workflows into well-scoped product requirements, and define what the “gold standard” process looks like for each one
- Support the commercial team as the engineering expert in the room: lead discovery, present and demo to utility engineering leadership, and scope pilot programs that close
- Support implementations end to end: onboard planning and asset management teams, encode their workflows as skills in the product, and run workshops to train them
- Work directly with customers on real engineering problems, from asset health scores to capital plan defensibility, helping them use the product and feeding what you learn back into the roadmap
- Build the institutional knowledge layer: reusable skills, worked examples, and manuals, so your expertise compounds into the product


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/senpilot-distribution-engineering-ai-subject-matter-expert/