Principal Data Product Manager

🕒 Julho 27

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $250.000 / ano

⏰ Tempo Integral

🔴 Especialista

✅ Gerente de Produto

👻 Score fantasma 9%

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PayNearMe

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2009

💳 Fintech

☁️ SaaS

🤝 B2B

🔥 Investimento no último ano

💰 $50.000.000 Series E - PayNearMe em 2025-09

Fintech • SaaS • B2B

A PayNearMe é uma empresa de tecnologia de pagamentos que oferece uma plataforma moderna e completa para que as empresas aceitem, distribuam e gerenciem pagamentos. A plataforma enfatiza o Gerenciamento da Experiência de Pagamento, oferecendo recursos como processamento de pagamentos moderno, automação e autosserviço, gerenciamento de exceções e uma rede de pagamento em dinheiro no varejo. A PayNearMe atende clientes empresariais em diversos setores (financiamento de automóveis e consumo, pedágios, iGaming, concessionárias "compre aqui, pague aqui", cooperativas de crédito, serviços hipotecários, escritórios de advocacia, etc. ) e divulga métricas incluindo mais de 16 anos de operação, mais de $50 bilhões processados anualmente, mais de 16. 000 empresas na sua plataforma e mais de 62. 000 locais de pagamento em dinheiro no varejo. Os serviços de transmissão de dinheiro são fornecidos por suas subsidiárias PayNearMe MT, Inc. e PayNearMe Financial, Inc.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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