Director, Data Product Engineering

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PayNearMe

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2009

💳 Fintech

☁️ SaaS

🤝 B2B

🔥 Financement dans la dernière année

💰 €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

• We are seeking a strategic and technically accomplished Director, Data Products Engineering to lead the architecture, engineering, and delivery of AI products, data products and scalable data solutions across our fintech and payment processing ecosystem. • This leader will drive the company’s transition toward a product-centric data operating model by building trusted, reusable, scalable, and business-aligned AI/data products that power analytics, operational intelligence, AI/ML initiatives, customer experiences, regulatory reporting, and enterprise decision-making. • The role requires a strong combination of strategic data solution architecture expertise, modern cloud data engineering leadership, and product-thinking. The ideal candidate will lead teams responsible for engineering high-quality AI/data products, designing scalable data architectures, and enabling reliable enterprise data consumption at scale.

🎯 Exigences

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or related field required; Master’s or PhD preferred. • 10+ years of progressive leadership experience in Data, Analytics, or AI/ML organizations. • 5+ years leading enterprise-scale analytics, data science, or AI engineering teams. • Strong hands-on expertise in predictive analytics, machine learning, recommendation systems, decision intelligence, and AI-enabled analytics. • Proven experience building scalable enterprise data products • Deep experience with modern cloud data platforms and analytical ecosystems including: • Snowflake • Dataiku • dbt • Fivetran • Apache Iceberg • Looker / LookML • Strong technical expertise in: • Python • SQL • ML frameworks and AI tooling • Cloud platforms such as AWS • Strong executive communication and stakeholder management skills. • Experience leading within complex, matrixed organizations. • Exceptional communication and stakeholder management skills with ability to influence executive and technical audiences.

🏖️ 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