Engineering Manager

Regal•New York, NY

34d•$190,000 - $225,000•Hybrid

About The Position

Regal is seeking an Engineering Manager to lead their Observe/Evaluation team. This team is responsible for ensuring the functionality of voice agents in production. The role involves overseeing observability tooling for agent behavior visibility and evaluation frameworks for systematic quality measurement and improvement. The position will also involve working on integrations connecting systems to the broader ecosystem and a customer-facing copilot product for agent iteration. The company, founded in 2020 and based in Manhattan, focuses on AI Agent Platforms and has partnered with major brands, raised significant funding, and emphasizes an in-office culture.

Requirements

6+ years of experience in a relevant engineering role, with 0-3 years of experience managing a team
Hands-on experience with Python and Typescript — you can still write and debug code at a senior level, even if you now do it less often
Solid experience with AWS, including services like Lambda and SQS, and streaming systems (e.g. Kinesis)
Comfortable managing ambiguity — this space (observability + eval for AI agents) is still being defined, and you'll help define it
Strong written and verbal communication skills; able to work with both technical and non-technical stakeholders
A track record of mentoring engineers and helping them grow

Nice To Haves

Experience with MCP (Model Context Protocol) or building agentic applications
Background in observability, monitoring, or evaluation tooling specifically
Experience working adjacent to applied AI or ML teams
Prior startup experience at the Series B–D stage

Responsibilities

Lead and grow a team of 3-5 engineers — set expectations, support career development, and hold a high hiring bar
Own execution of the observability and evaluation roadmap: tooling that surfaces how voice agents are performing and frameworks that let teams evaluate agent quality systematically
Stay hands-on enough to jump into Python code, debug production issues, and make tactical contributions when needed
Partner with the other product teams to translate voice-agent quality signals into tooling and metrics that are actually actionable
Own the reliability and scalability of the team's integrations — the connections that link our systems to complex external and internal systems, and that need to scale as the business grows
Support the copilot product's roadmap in collaboration with Product — the tool that lets customers iterate on their voice agents easily
Remove blockers for your team — whether that means adjusting process, pairing on a hard debugging session, or resolving cross-functional friction
Be actively involved in hiring: sourcing, interviewing, and onboarding