Data Product Manager

Sorry, this job was removed at 02:59 p.m. (CST) on Thursday, Jan 30, 2025
Hiring Remotely in USA
Remote
Software • Database
The Role

About Us
At People Data Labs (PDL), we do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL’s workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more.
Right Place, Right Time, Right Opportunity
This is your chance to join PDL at a pivotal moment. With our new CEO, Ben Eisenberg, leading the way, we’re in the perfect position to bring on a new Data Product Manager to take ownership of our person data (Ben’s previous role!). This area represents a significant portion of our customer base so this is a critical hire for us. The Data PM would not only oversee our person data products, but drive the creation of groundbreaking new data products and use cases.
Roles and Responsibilities

  • Own our person data, which represents a significant portion of PDL’s customer base
  • Drive innovation in new data products that create new opportunities for our customers
  • Work cross-functionally in a fast-paced environment to champion a shared vision for our person data and new data products
  • Dive deep into customer feedback, understand how our data is being utilized, and make strategic improvements

Required Skills & Experience

  • 5+ years of experience solving complex data problems
  • Product Manager experience, working with a highly technical product
  • Data product management experience in one or both of the following areas: 
    • Owning the maintenance, strategy, and growth of an 8 figure data product line
    • Experience launching new data products, taking them from 0 - $1.5MM+
  • Ability to enthusiastically collaborate with and communicate highly technical concepts to internal stakeholders, engineers and customers
  • An appetite for evaluating data-related feedback/validation and executing a shared data product vision

This role will be heavily shaped by the person who fills it and we are looking for someone excited to take on that challenge. We are open to different titles, leveling, and compensation packages, the highly variable profiles for this role make market research a little challenging (even with access to great data!). So please be candid with us and if the opportunity interests you then please reach out.
Benefits

Great people make great teams. We believe in building highly functional, energetic, and engaging teams to serve our customers. People, Customers, Shareholders, in that order, sets us up for success and delivering on our promises.

  • Stock
  • Competitive Salaries
  • Unlimited paid time off
  • Medical, dental, & vision insurance
  • Health, fitness, and office stipends
  • The permanent ability to work wherever and however you want

Comp: $200K - $225K

Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Personal Privacy Policy for California Residents

https://privacy.peopledatalabs.com/policies?name=personnel-privacy-policy

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The Company
New York, New York
130 Employees
Year Founded: 2015

What We Do

At People Data Labs, we know that every company is rapidly transforming to solve problems in a more data and people-driven manner. In order to succeed, companies are forming data departments, pivoting their focus into data acquisition, and doubling down on legal, security, and compliance to protect themselves. For these organizations, clean, rich, and compliant person data is critical and People Data Labs is here to meet that demand.

Today, the People Data Labs platform seeks to enable all companies to build compliant people data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly-sourced datasets into a single, developer-friendly source of truth. Over 2 billion profiles are used by leading companies to enrich recruiting platforms, power AI models, create custom audiences, and more.

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