Product Manager, Data Team
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
As a Product Manager on the Data team youll own one of the most important surfaces in our product: how customers see trust and act on what their AI agents are doing.
Youll 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. Thats the outcome this role is built to deliver.
Youll go deep with customers to understand the decisions theyre trying to make then translate those insights into crisp product bets with our data engineering team. If youre 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.
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 Regals 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 Regals data today where they get stuck and what decisions theyre 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: 24 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. Youre 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: Youve driven multiple initiatives end to end from idea through launch and can speak credibly to the impact and the tradeoffs. Youve 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 youre working on whether thats 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!
Required Experience:
IC
About Company
Regal is a new approach to outbound cloud contact center software. Turn your untapped customer data into real-time outbound campaigns that drive 25% more revenue — immediately.
