Senior Technical Product Manager - AI Platform

March 29

🏄 California – Remote

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

🌽 Illinois – Remote

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

+4 more states

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

💵 $113k - $150k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 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

• We are seeking a Senior Technical Product Manager - AI Platform to lead product platform strategy for applied AI systems, MLOps, and model deployment infrastructure. • As a senior individual contributor, you will own the vision, roadmap, and execution of tools and systems that support the entire AI model lifecycle. • You'll work closely with data scientists, AI/ML engineers, platform architects, DevOps, and product engineering teams to build infrastructure that enables rapid, trustworthy, and scalable AI productization across the company. • You will also define and track the impact and performance of the AI platform, establishing metrics to assess value delivered, ROI, and platform effectiveness across use cases and teams.

🎯 Requirements

• 8+ years of experience in technical product management or engineering roles focused on AI/ML, developer platforms, or distributed systems. • Strong knowledge of the ML lifecycle, MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI), and production deployment best practices. • Familiarity with CI/CD principles, containerization (Docker, Kubernetes), and real-time model inference strategies. • Strong grasp of experimentation design, feature store concepts, and model governance in enterprise environments. • Experience delivering technical platform products in agile, cross-functional environments. • Ability to synthesize complex technical requirements into clear product roadmaps, success metrics, and stakeholder narratives. • Proven ability to balance long-term platform scalability with immediate delivery needs. • Exposure to generative AI frameworks, LLM Ops pipelines, or Retrieval-Augmented Generation (RAG) systems. • Familiarity with enterprise-grade security, audit, and compliance practices in regulated data environments. • Experience supporting multiple AI product teams in a centralized platform model.

🏖️ 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.