ABOUT US:
Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue.
Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital.
Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!
We’re moving fast, and the numbers speak for themselves:
- Partnered with enterprise brands like Google, AAA, Ro, Coursera
- Raised $82M (top tier investors including Emergence & Homebrew)
- Completed 500M+ calls
- Driven $7B revenue for customers
- Scaled to $##M ARR
- Built amazing NYC (Midtown) in office culture
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 roadmap in collaboration with Product
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
WHAT YOU'LL OWN:
Observability tooling: Systems that give visibility into how voice agents are behaving in production, what's working, what's degrading, and why
Evaluation frameworks: Tooling that lets the org systematically evaluate and improve voice agent quality over time, rather than relying on ad hoc checks
Integrations: The complex external and internal integrations that connect our systems to the broader ecosystem, built to scale as usage grows
Copilot product: A customer-facing product that lets customers iterate on their voice agents easily, this is a product we ship, not an internal tool
ABOUT YOU:
6+ years of experience in a relevant engineering role
1-3 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 HAVE:
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
BENEFITS/PERKS
We care about your health!
Medical, Dental, and Vision plans - 80% covered by the company
Flexible PTO & 11 paid holidays/year
We care about future you!
401k Plan
Paid parental leave
Pre-tax commuter benefits
We care about connection!
In-office breakfast and snacks daily
Happy hours, team outings, & annual off-sites
Complete laptop workstation
& more to come!
POSITION LOCATION & OFFICE DETAILS:
This position is only available in New York City (HQ- Midtown). Hybrid roles are required in office T/W/TH and office optional M/F.
*If you think you’re missing relevant experience but you’re hungry and a fast learner (and can prove it), we want to hear from you!