Principal Product Manager, Data Products

Spokeo

Principal Product Manager at Spokeo leading data ingestion and ML-driven data quality initiatives. Managing the data development backlog and collaborating with engineers in an agile environment.

Posted 4/30/2026full-timeRemote • Arizona, California, Colorado, Florida, Kentucky, Maryland, Missouri, Montana, Nevada, New Jersey, North Carolina, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Washington, Wyoming • 🇺🇸 United StatesLead💰 $171,000 - $207,900 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSHadoopSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisdata profilingdata mininguser storiesentity resolutionrecord linkageSQLweakly supervised machine learningdata quality improvementbatch append

Soft Skills

communication skillsattention to detailinfluencing without authoritycollaborationleadership

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in AnalyticsBachelor's degree in StatisticsBachelor's degree in Applied Math