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Overview
Lead / Manager

Product Manager, Data Team

Confirmed live in the last 24 hours

Regal

Regal

Compensation

$120k - $140k/per-year-salary

New York, New York
On-site
Posted April 23, 2026

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 250MM+ calls
- Driven $7B revenue for customers
- Scaled to $## ARR
- Built amazing NYC (Midtown) in office culture

ABOUT THE ROLE:

As a Product Manager on the Data team, you'll own one of the most important surfaces in our product: how customers see, trust, and act on what their AI agents are doing.

You'll partner closely with engineering and design to transform how observability works at Regal — building reporting, analytics, and insight experiences that make complex data feel intuitive and actionable. When customers can see exactly how their agents are performing and why, they expand use cases, trust the platform more, and grow their adoption of Voice AI. That's the outcome this role is built to deliver.

You'll go deep with customers to understand the decisions they're trying to make, then translate those insights into crisp product bets with our data engineering team. If you're a data-native PM (or an analyst ready to make the jump) who loves bridging the gap between messy data and elegant customer experiences, this role is for you.

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