# Product Manager, Data Team

**Company:** [Regal.ai](https://hotfix.jobs/companies/regal-ai)
**Location:** New York, NY
**Role:** Product Management
**Salary:** $120k – $140k/yr
**Experience:** 2+ years
**Skills:** SQL, Analytics, Data Visualization, Experiment Design, Statistical Analysis, Dashboards, Product Roadmapping, Metrics, Instrumentation
**Posted:** 2026-04-23

> Owns data product roadmap for AI agent observability, partnering with engineering and design to build intuitive reporting, analytics, and insights. Requires 2-4 years PM experience, strong SQL, and data literacy to bridge raw data with customer decisions.

## Job Description

## 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.

## Requirements
- 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. Comfortable in the weeds of a dataset and understand experiment design and statistical reasoning.
- Customer-Obsessed: Examples of bridging complex, technical subject matter and what customers actually need.
- Proven Shipper: Driven multiple initiatives end to end, from idea through launch.
- Entrepreneurial & High Agency: Operate with strong conviction, lead initiatives with limited hand-holding, and move fast under ambiguity.
- Deeply Curious: Love to learn new things and go very deep on any problem.
- Strong Communicator & Collaborator: Bring clarity to product initiatives or customer problems.
- Creative Problem Solver: Develop unique solutions with constrained resources.
- High Bar: Hold high standard for work.

## Preferred
- Early-stage (pre-Series C) startup experience.

## Benefits
- Medical, Dental, and Vision plans - 80% covered by the company
- Flexible PTO & 11 paid holidays/year
- Subsidized Class Pass membership
- 401k Plan
- Paid parental leave
- Pre-tax commuter benefits
- In-office breakfast and snacks daily
- Happy hours, team outings, & annual off-sites
- Complete laptop workstation

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