---
title: 'Engineering Manager at Regal'
canonical: 'https://feeny.ai/job/engineering-manager-regal-new-york-wma8hh9qhn4d'
type: 'job'
last_seen: '2026-10-20'
---

# Engineering Manager at Regal

- **Company:** Regal
- **Location:** New York, NY
- **Compensation:** $190k–$225k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.lever.co/regal.ai/6110d03b-3776-41d4-87a4-0dfdbe861c35

## 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

We're hiring an Engineering Manager to lead our Builder team, which owns how Regal connects to our customers' systems and how quickly we can launch voice agents for them. The team builds and maintains our integrations (traditional SaaS and newer MCP servers), Journeys (our workflow automation product), Unified Profile Systems and the tooling our Forward Deployed Engineering (FDE) team uses to ship customer deployments. The core challenge is balancing two timelines. Customers need to be unblocked this week, and the platform needs to get to a place where they don't hit the same blocker next quarter. This is a small, high-leverage team (3-5 engineers). You'll work in Python day-to-day and build on AWS. You'll report to the Director of Engineering, Build + Observe/Eval.

## RESPONSIBILITIES:

- Lead and grow a team of 3–5 engineers. Set clear expectations, support career development, and hold a high hiring bar.
- Own the Builder team's roadmap, balancing near-term customer unblocks against longer-term platform investments, and make those tradeoffs visible to stakeholders.
- Stay hands-on: expect roughly 50% of your time on technical work such as code reviews, design reviews, debugging production issues, and shipping code when the team needs it.
- Partner with Product, FDE, and go-to-market teams to translate customer requests into product capabilities that scale across customers.
- Remove blockers for your team, whether that means adjusting processes, pairing on a hard debugging session, or resolving cross-functional friction.
- Be actively involved in hiring: sourcing, interviewing, and onboarding.

## WHAT YOU'LL OWN:

- Journeys: Regal's workflow automation product, used by every customer. You'll own its roadmap, reliability, and evolution as customer use cases get more complex.
- Integrations: The connections between Regal and our customers' systems, from traditional SaaS applications to newer MCP-server integrations. They need to be reliable, observable, and built to scale with data volume.
- FDE tooling: Internal tools that help our Forward Deployed Engineering team configure, launch, and iterate on voice agents faster.
- Platform leverage: Turning recurring one-off customer requests into reusable product capabilities, so each new deployment takes less custom work than the last.

## ABOUT YOU:

- 6+ years of experience in software engineering, with a strong track record as a Senior IC.
- 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
- Experience building and owning third-party integrations at high data volume, including failure handling, retries, rate limits, and changing external APIs
- System design credibility that earns trust with senior ICs and lets you make sound architectural calls across services, data flows, and integrations
- Experience leading a team through shifting priorities or scope. You help the team take on new kinds of problems rather than waiting for a stable spec
- A track record of mentoring engineers and helping them grow, plus strong written and verbal communication with both technical and non-technical stakeholders

## NICE TO HAVE:

- Experience with AWS (e.g., Lambda, SQS, Kinesis), event-driven or streaming systems, and Kubernetes-based deployments
- Experience building workflow automation tools or orchestration products
- Experience building on or with MCP servers, agent tool-calling, or LLM-based integrations
- Experience leading teams that make effective use of AI coding agents, with consistent and efficient workflows
- Background in voice, telephony, or contact-center software
- 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!

## About Regal

## Company Overview
- **One-liner**: Regal provides an AI Agent Platform that enables enterprises to build, deploy, and manage voice AI agents for customer communication, sales, and support.
- **Entity Type**: Private (Venture-backed; latest round in 2024)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Alex Levin (Co-Founder & CEO)

## Core Business
- **Primary industry/industries**: AI Agent Platform, Customer Experience (CX) Software, Contact Center Technology
- **Target customers**: B2B, Enterprise (focus on consumer-facing businesses like insurance, financial services, telecom, and retail)
- **Mission or purpose statement**: To help enterprises use AI Agents to transform their customer communications so they can always talk with the right customer with the right message at the right time [regal.ai](https://www.regal.ai/about).

## Products & Services
- **Voice AI Agent Platform**: A platform to build, test, deploy, and monitor autonomous AI voice agents. Features include low-latency, natural conversation (interruptions, topic changes), multi-language support (30+ languages), real-time personalization using first-party CRM data, drag-and-drop orchestration, A/B testing, conversation intelligence, and automated QA. Integrates with 40+ CCaaS and CRM systems [regal.ai](https://www.regal.ai/).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding of **$82.1M** across three rounds:
    - Seed Round (2021): $3.6M
    - Series A (September 2022): $38.5M led by Emergence Capital
    - Venture Round (October 2024): $40.0M led by Emergence Capital
- **Annual Revenue**: $3M (as of latest data) [linkedin.com](https://linkedin.com/company/regal-ai-official).
- **Notable Investors/Partners**: Emergence Capital (lead investor), with 6+ total investors across rounds.
- **Growth Signals**: 
    - **80 employees** (+36.1% YoY growth)
    - Claims to have driven **$5B in cumulative revenue** for customers through improved acquisition, sales, and retention [regal.ai](https://www.regal.ai/about).
    - Millions of consumers engage with brands through Regal monthly.
    - Workforce distributed across 7 countries (US, Spain, Hungary, Romania, UK).

## Competitive Advantages
- **AI Voice Quality & Latency**: Emphasizes raising the bar on AI voice quality, latency, and logic with optimized infrastructure and custom agent styles.
- **Omniscient Agents**: Agents are context-aware, using real-time customer data, internal knowledge, and workflows to personalize every conversation.
- **Enterprise-Grade Security**: Agreements with LLM partners prevent training on customer data or storing it.
- **Full-Service Implementation**: A "Forward Deployed Engineering" team manages the full implementation and customization for each enterprise client.
- **Built for Contact Centers**: Founded by contact center operators, the platform is designed specifically for the high-stakes, high-volume needs of enterprise support and sales.

## Strategic Focus
- **Agentic AI**: Committed to continued investment in Agentic AI to drive more high-touch, cost-efficient customer interactions. The company believes that by 2035, the majority of customer interactions will be handled by AI Agents [regal.ai](https://www.regal.ai/about).
- **Product-Led Growth**: Focus on making it easy for enterprises to get started with one AI Agent and scale to power an entire contact center.
- **Continuous Improvement**: Emphasizes a culture of A/B testing and data-backed iteration to improve agent performance in production.

## Why Work Here
- **Culture & Values**: Described as fast-moving, high-ownership, and data-backed. Core values include customer obsession, fast execution, a growth mindset, and decisions rooted in data [builtin.com](https://builtin.com/company/regalio/faq/workplace-perception).
- **Work Model**: **Hybrid** — employees work from the Midtown Manhattan office on Tuesdays, Wednesdays, and Thursdays. Mondays and Fridays are optional work-from-home days.
- **Career Growth**: Roles emphasize ownership and rapid learning. Employees have access to demos, tech talks, progression frameworks, and cross-functional exposure. The small team structure allows individuals to ship quickly and take on broad responsibility.
- **Team & Leadership**: Colleagues are characterized as smart, collaborative, and supportive. Leadership is accessible, and there are visible recognition rituals (all-hands shoutouts, CEO "Weekly Wins," kudos channels).
- **Benefits & Perks**: Company-covered medical, dental, and vision at 80%, flexible PTO, paid parental leave, 401(k), commuter benefits, in-office meals/snacks, team outings, annual offsites, and continuing-education stipends.
- **Employee Rating**: 4.1/5.0 on LinkedIn (51 reviews) with strong scores across Work-Life (4.1), Compensation (4.0), Culture (4.1), and Career (4.0) [linkedin.com](https://linkedin.com/company/regal-ai-official).

## Sources
1. [regal.ai - About](https://www.regal.ai/about)
2. [regal.ai - Product](https://www.regal.ai/)
3. [LinkedIn Company Page](https://linkedin.com/company/regal-ai-official)
4. [Built In Company Profile](https://builtin.com/company/regalio/faq/workplace-perception)
5. [Lever Careers Page](https://jobs.lever.co/regal.ai)

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