Engineering Manager

Lever, Inc.; New York, Northern (NY, KY); Hybrid; USD 190,000 - 225,000; Full time

Benefits offered by this job

Health coverage

401k plan

Parental leave

In-office snacks

Job summary

Regal, based in New York City, seeks an experienced engineering leader to own observability tooling and evaluation frameworks for voice agents. You will guide a 3-5 person team, contribute hands-on Python/TypeScript work, and partner with Product to scale Copilot integrations.

Your role will shape the reliability and performance of our AI agent platform in a fast-growing startup environment. You will drive architecture, mentor engineers, and own the onboarding of new hires while aligning with

Qualifications

• 6+ years in a relevant engineering role
• 1-3 years of experience managing a team
• Hands-on with Python and TypeScript at senior level
• Strong AWS experience: Lambda, SQS, Kinesis
• Comfort with ambiguity in observability + eval for AI agents
• Strong written and verbal communication across tech and non-tech stakeholders
• Mentoring engineers and helping them grow

Responsibilities

• Lead and grow a team of 3-5 engineers with high hiring standards
• Own the observability and evaluation roadmap and related tooling
• Stay hands-on with Python code for production debugging when needed
• Collaborate with product teams to turn signals into actionable metrics
• Ensure reliability and scalability of integrations linking systems to external/internal services
• Support the Copilot product roadmap with Product
• Remove blockers and optimize cross-functional processes
• Participate actively in hiring: sourcing, interviewing, onboarding

Skills

Python

TypeScript

AWS

Observability

Tools

AWS Lambda

AWS SQS

Kinesis

Job description

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

$190,000 - $225,000 a year

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!