Product Manager, Data Team

Job Description

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 250M+ calls

- Driven $7B revenue for customers

- Scaled to $##M ARR

- Built amazing NYC (Midtown) in office culture

ABOUT THE ROLE:

 

This person will serve as the Product Manager for Regal's Data team, partnering closely with the data engineering team to turn Regal's data into a true competitive advantage for our customers. Day to day, they will own the roadmap for how our customers access, understand, and act on the data Regal generates — from reporting and analytics surfaces to the underlying datasets, dashboards, and insights that help customers run better voice AI programs. They will bridge the gap between complex data and what our customers actually need to make decisions, translating messy problems into crisp product bets. They will work across engineering, design, customers, and executives to ship data experiences that customers love and to hold a high bar for quality, speed, and clarity.

RESPONSIBILITIES:

Own the Data Product Roadmap: Partner with our data engineering team to own the roadmap and key success metrics for how customers access, understand, and act on Regal's data — from reporting and analytics surfaces to the underlying datasets, dashboards, and insights.

Transform Observability: Reimagine how customers understand what their AI agents are doing. Make it more intuitive, simpler, and trustworthy so customers expand to more use cases and grow their AI minutes with confidence.

Develop Deep Customer Understanding: Go deep with customers to learn how they use Regal's data today, where they get stuck, and what decisions they're trying to make. Bring those insights back as product bets the team can rally around.

Ship Polished Data Experiences: Partner with design to ship data experiences that feel accessible, trustworthy, and actionable — not just another dashboard.

Bridge Raw Data and Customer Value: Translate complex datasets into reporting, analytics, and insight experiences that customers can actually use to run their business and make better decisions.

Define the Measurement Framework: Drive the metrics, instrumentation, and experimentation framework that the broader company uses to measure product impact — raising data literacy and self-serve across GTM, CS, and Product.

Lead Initiatives End to End: Take initiatives from customer discovery and problem framing through scoping, launch, measurement, and iteration — moving fast and shipping meaningful improvements on a weekly cadence. ABOUT YOU:

Deeply Data-Literate: 2–4 years of experience as a Product Manager, ideally with at least some of that time on a data, analytics, or reporting product. Strong SQL proficiency is required. Experience as a data analyst before transitioning into PM is ideal. You're comfortable in the weeds of a dataset and understand experiment design and statistical reasoning well enough to push back on flawed analyses.

Customer-Obsessed: You can point to examples of bridging complex, technical subject matter and what customers actually need. You design for the real decision the customer is trying to make — not the dashboard you happen to have.

Proven Shipper: You've driven multiple initiatives end to end, from idea through launch, and can speak credibly to the impact and the tradeoffs. You've partnered closely with design and shipped polished, customer-facing product experiences.

Entrepreneurial & High Agency: You operate with strong conviction, lead initiatives with limited hand-holding, and move fast under ambiguity. You act with urgency and ownership.

Deeply Curious: You love to learn new things and go very deep on any problem you're working on — whether that's a customer workflow, a dataset, or a new analytics pattern.

Strong Communicator & Collaborator: You can take foggy product initiatives or customer problems and bring clarity to what the most important problem is and what should happen next. You work effectively across engineering, design, customers, and executives.

Creative Problem Solver: You develop unique solutions to the problems that face you and work well with constrained resources.

High Bar: You hold a high standard for your work and the work of others, aiming to ship the highest quality products to our customers.

Preferred Background: Early-stage (pre-Series C) startup experience preferred but not required. What matters is that you can go deep on data problems and come back with a clear product direction. Benefits/Perks:

• We care about your health! 
• Medical, Dental, and Vision plans - 80% covered by the company
• Flexible PTO & 11 paid holidays/year 
• Subsidized Class Pass membership
• 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!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.