Wait, What Do You Do?

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 250M+ calls

- Driven $7B revenue for customers

- Scaled to $## ARR

- Built amazing NYC (Midtown) in office culture

ABOUT THE ROLE:

One of the most exciting parts of Regal is the massive dataset we are building. Our Voice AI agents power millions of real-time customer interactions every day, generating a uniquely deep dataset of behavioral signals, conversation patterns, and outcomes. As an Analytics Engineer, you won’t just report on this data—you’ll help shape how it’s used to drive smarter decisions across the business.

Your work will directly influence how our platform determines next-best actions, improves agent performance, and continuously evolves the customer experience. You’ll also analyze how human agents interact with our product, uncovering opportunities to improve workflows, inform new feature development, and increase efficiency across both AI and human teams. The insights you generate will play a key role in helping agents spend less time on manual tasks and more time engaging meaningfully with customers.

This role sits at the intersection of data, product, and AI—where your analysis will directly contribute to building more intelligent systems and better customer experiences at scale.