Principal Data Product Manager

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $200 000 - $250 000 / an

⏰ Temps Plein

🔴 Expert

✅ Responsable Produit

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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PayNearMe

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2009

💳 Fintech

☁️ SaaS

🤝 B2B

💰 €50 000 000 Series E - PayNearMe en 2025-09

Fintech • SaaS • B2B

PayNearMe est une société de technologie de paiement qui propose une plateforme moderne et complète pour les entreprises afin d'accepter, de distribuer et de gérer les paiements. La plateforme met l'accent sur la gestion de l'expérience de paiement, offrant des fonctionnalités telles que le traitement moderne des paiements, l'automatisation et le libre-service, la gestion des exceptions, ainsi qu'un réseau de paiement en espèces dans les points de vente. PayNearMe cible les clients professionnels de divers secteurs (prêts automobiles et à la consommation, péages, iGaming, concessionnaires buy-here-pay-here, coopératives de crédit, services hypothécaires, cabinets d'avocats, etc. ) et affiche des indicateurs tels que plus de 16 ans d'activité, plus de 50 milliards de dollars traités annuellement, plus de 16 000 entreprises sur sa plateforme, et plus de 62 000 points de vente en espèces. Les services de transmission d'argent sont fournis par ses filiales PayNearMe MT, Inc. et PayNearMe Financial, Inc.

Description

• Define the long-term vision for data as a strategic product and platform capability. • Identify opportunities to improve products and customer experiences through data. • Prioritize investments across data products, insights, analytics, recommendations, and analytical AI capabilities. • Set roadmap priorities that keep data strategy aligned to business goals. • Define reusable data capabilities that scale across products and experiences. • Drive accessibility, governance, discoverability, and common business definitions for core data assets. • Establish a consistent approach for modeling, measuring, and exposing data across the platform. • Enable teams to build on shared data assets rather than one-off solutions. • Identify and prioritize opportunities for customer-facing insights, recommendations, and analytics experiences. • Embed data-driven capabilities into existing products. • Evaluate and pursue new data-driven product opportunities. • Own the roadmap for analytical AI capabilities that turn raw data into decisions. • Define the data, measurement, and product requirements behind AI-enabled experiences and workflow automation. • Shape how data improves decision-making, automation, and customer outcomes. • Translate emerging technology capabilities into real customer and business value. • Data operates as a reusable platform capability across multiple products and experiences. • Product teams consistently discover, access, and trust core data assets. • Data-driven insights and recommendations are embedded within customer experiences. • Data investments tie directly to customer outcomes and business impact. • New opportunities for differentiation and growth emerge through data. • The company has a clear strategy for data across analytics, recommendations, automation, and AI.

🎯 Exigences

• 10+ years in Product Management, with substantial experience in data-intensive, platform, analytics, or AI-enabled products. • Track record defining, launching, and scaling products powered by data, analytics, recommendations, or machine learning. • Deep understanding of how data is collected, modeled, governed, measured, and exposed through products and platforms. • Command of the technical landscape across data engineering, analytics, machine learning, and software engineering. • Ability to translate complex data capabilities into simple, valuable customer experiences. • Experience defining product strategy in environments where data is a core competitive advantage. • Systems thinker who identifies reusable capabilities that benefit multiple products. • Comfortable navigating ambiguity and shaping new product categories. • Strong communication, influence, and executive stakeholder management skills. • Experience with data products, analytics platforms, recommendation systems, AI-powered experiences, or workflow automation. • Familiarity with modern data platforms and concepts such as semantic layers, governance, APIs, data sharing, and AI/ML ecosystems. • Experience in fintech, payments, or other data-rich, regulated industries.

🏖️ Avantages

• Competitive salary and benefits with growth-company options grant • Fast- paced and professional work culture • Stock options with standard startup vesting - 1 year cliff; 4 years total • $50 monthly communication expense stipend to go towards your phone/internet bill • $250 stipend to enhance your WFH setup • Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200) • Premium medical benefits including vision and dental (100% coverage for employees) • Company-sponsored life and disability insurance • Paid parental bonding leave • Paid sick leave, jury duty, bereavement • 401k plan • Flexible Time Off (our team members typically take off ~3-4 weeks per year) • Volunteer Time Off • 13 scheduled holidays