Senior Technical Product Manager - Data Lakehouse

April 16

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+4 more states

🏄 California – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $113k - $150k / year

⏰ Full Time

🟠 Senior

⚒️ Technical Product Manager (TPM)

🦅 H1B Visa Sponsor

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WEX

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WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.

Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

📋 Description

• Define and execute the product vision for WEXʼs data platform, supporting lakehouse architecture, broad data product usage, and scalable ingestion of structured and unstructured data. • Develop phased product roadmaps aligned with evolving AI/ML, analytics, and enterprise data use cases. • Identify opportunities for innovation in data modeling, metadata management, observability, and compute optimization. • Drive discovery efforts for infrastructure supporting generative AI, predictive modeling, business intelligence, and decision automation. • Define and measure platform value and ROI, connecting infrastructure investments with business impact. • Lead initiatives to enhance data ingestion, transformation, and delivery across both batch and streaming pipelines — supporting a full spectrum of data use cases. • Collaborate with engineering to define scalable architecture and orchestration patterns for robust, ML- and analytics-ready data flows. • Establish requirements for pipeline observability, governance, data freshness, schema evolution, and cost-efficiency. • Prioritize investments in fault-tolerant and high-throughput compute infrastructure. • Partner with AI, analytics, and MLOps teams to integrate development and deployment workflows into the data platform.

🎯 Requirements

• 8 - 10 years in technical product management or engineering roles with a focus on data platforms, large-scale infrastructure, or ML systems. • Deep understanding of data lakehouse design, cloud-native architecture (AWS, GCP, or Azure), and distributed systems. • Hands-on familiarity with tools such as Spark, Flink, Kafka, Airflow, DBT, Delta Lake, or equivalent. • Experience working in environments that integrate ML workflows with streaming/batch data pipelines. • Proven track record of launching and scaling technical platforms used across engineering, ML, and analytics teams. • Demonstrated ability to define and measure success metrics tied to system performance, data usability, and AI model outcomes. • Comfortable working in agile, cross-functional environments with both iterative product development and long-range planning. • Experience with vector databases, retrieval-augmented generation (RAG) pipelines, or generative AI integration. • Knowledge of data mesh, federated data access, or multi-tenant platform design. • Background in enterprise-scale financial systems, payments, or regulated data environments.

🏖️ Benefits

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement • and more.