
51 - 200 employés
👥 B2C
☁️ SaaS
🔌 API
B2C • SaaS • API
<Spokeo> est un service de recherche de personnes et d'agrégation de données qui permet aux utilisateurs de rechercher par nom, téléphone, email ou adresse pour trouver des informations de contact, un historique de localisation, des profils sociaux, des enregistrements de propriété, des dossiers judiciaires et d'autres archives publiques. Il combine des milliards de données issues de sources grand public et professionnelles en rapports concis et faciles à lire, offre des mises à jour de rapports basées sur les comptes, des capacités de recherche d'entreprise et une API pour l'intégration. Spokeo s'adresse aux consommateurs individuels cherchant à renouer des contacts, identifier des appelants ou vérifier des vendeurs, tout en offrant des services payants et des outils pour les entreprises ; il précise qu'il n'est pas une agence de rapports de consommation FCRA.
🕒 il y a 1 mois
🌵 Arizona, California, +16 états de plus – Distant
💵 $171 000 - $207 900 / an
⏰ Temps Plein
🔴 Expert
✅ Responsable Produit
🦅 Parrain de Visa H1B
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
👥 B2C
☁️ SaaS
🔌 API
B2C • SaaS • API
<Spokeo> est un service de recherche de personnes et d'agrégation de données qui permet aux utilisateurs de rechercher par nom, téléphone, email ou adresse pour trouver des informations de contact, un historique de localisation, des profils sociaux, des enregistrements de propriété, des dossiers judiciaires et d'autres archives publiques. Il combine des milliards de données issues de sources grand public et professionnelles en rapports concis et faciles à lire, offre des mises à jour de rapports basées sur les comptes, des capacités de recherche d'entreprise et une API pour l'intégration. Spokeo s'adresse aux consommateurs individuels cherchant à renouer des contacts, identifier des appelants ou vérifier des vendeurs, tout en offrant des services payants et des outils pour les entreprises ; il précise qu'il n'est pas une agence de rapports de consommation FCRA.
• 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.
• 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.
• 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
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