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4 часа назад

Principal Product Manager (Data Products)

171 000 - 207 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Product Manager (Data Products): Owning and optimizing a large-scale identity data platform with an accent on data ingestion, entity resolution, and ML-driven data quality. Focus on translating complex data challenges into clear product strategies and managing the data development backlog to generate high-quality people profiles at scale.

Location: Remote, must be based in one of the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY. Must be authorized to work in the U.S. without current or future sponsorship.

Salary: $171,000 - $207,900

Company

hirify.global is a people intelligence platform that leverages 60 billion public records to help millions of users and businesses reconnect with people and prevent fraud.

What you will do

  • Own and prioritize the data development backlog and delivery schedule as a Scrum Product Owner.
  • Lead the evaluation and onboarding of external data vendors providing people data and PII.
  • Conduct data analysis and profiling using statistical techniques to define and enforce data accuracy standards.
  • Drive the product roadmap for entity resolution improvements using weakly supervised ML in collaboration with data science teams.
  • Develop aggregated data to support the product suite and improve the batch append product offering.
  • Define acceptance and data quality criteria to systematically improve the quality of data products.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Analytics, Statistics, Applied Math, or a related engineering field.
  • 7+ years of experience in product management and ownership within data-focused organizations.
  • Deep expertise in people data, public records, identity data ecosystems, and PII handling.
  • Demonstrated experience with entity resolution, record linkage, or identity graph products.
  • Proficiency in SQL for profiling and analyzing large data sets.
  • Must be based in the specified US states and have legal authorization to work in the US without sponsorship.

Nice to have

  • Familiarity with open-source big-data tools such as AWS, Spark, Hadoop, or Airflow.

Culture & Benefits

  • Remote-first environment with a highly stable team (average tenure of 6.9 years).
  • Competitive base salary, annual bonus program, and stock options.
  • 100% medical, dental, and vision coverage with 401K matching.
  • Unlimited PTO and dedicated mental health resources.
  • Paid home office equipment and fitness reimbursements.
  • Budget and support for professional courses and learning.

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