Principal Product Manager, Data Products

🕒 April 30

🌵 Arizona, California, +16 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🐎 Kentucky – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🦬 Wyoming – Remote

💵 $171k - $207.9k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

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Spokeo

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 B2C

☁️ SaaS

🔌 API

B2C • SaaS • API

<Spokeo> is a people-search and data aggregation service that lets users search by name, phone, email, or address to find contact information, location history, social profiles, property records, court records, and other public records. It combines billions of records from consumer and industry sources into concise, easy-to-read reports, offers account-based report updates, enterprise search capabilities, and an API for integration. Spokeo is positioned for individual consumers seeking to reconnect, identify callers, or verify sellers, while also offering paid services and tools for businesses; it states it is not an FCRA consumer reporting agency.

📋 Description

• Own and prioritize a data development backlog and project delivery schedule to execute customer-focused roadmap deliverables, serving as Product Owner for an Agile Scrum team responsible for regular data builds that generate high-quality people profiles at scale. • Work closely with developers, analysts, and architects to fully understand available data and define business logic, including cleaning and standardization requirements; lead efforts to evaluate and onboard new external data vendors providing people data and PII. • Conduct and review data analysis, profiling, and mining using traditional statistical techniques to understand and strengthen data capabilities; define what data accuracy means for the company's data products and translate those standards into actionable engineering project plans. • Document requirements by writing user stories that align with product needs; lead the product roadmap for entity resolution improvements using weakly supervised machine learning techniques in collaboration with data science and ML engineering teams. • Collaborate with product and data stakeholders to gather requirements needed to develop aggregated data to support the product suite; lead strategic development and improvement of the batch append product offering. • Define acceptance and data quality criteria and guide the agile Scrum team to meet them; curate data labels and drive their integration into the data build process to systematically improve data product quality.

🎯 Requirements

• A Bachelor's degree in Computer Science, Information Systems, Analytics, Statistics, Applied Math, or a related engineering field. • 7+ years of experience with product management, product development, and product ownership in data-focused organizations, with proven experience serving as a Scrum Product Owner. • Deep experience with people data, public records, or identity data ecosystems — including PII handling, data vendor evaluation, and familiarity with batch append or data-as-a-service (DaaS) product models. • Demonstrated experience with entity resolution, record linkage, or identity graph products, with working knowledge of person-level matching challenges and familiarity with weakly supervised machine learning approaches to data quality improvement. • Experience with SQL for profiling and analyzing data sets; familiarity with open-source big-data tools such as AWS, Spark, Hadoop, or Airflow preferred. • Excellent communication skills and attention to detail, with a track record of influencing without authority across technical and business stakeholders.

🏖️ Benefits

• annual bonus program • stock options • 401K with matching • 100% medical/dental/vision coverage • unlimited PTO • mental health resources • paid home office equipment • fitness reimbursements • support paying for courses and more