Sr AI Product Manager

We are seeking a highly technical Sr. AI Product Manager who operates at the intersection of product strategy, data science, and engineering. This role is designed for someone who can think like a product leader, reason like a data scientist, and collaborate like an engineer-translating complex business problems into scalable AI-driven solutions.

You will lead the development of AI-powered products and agentic systems that transform WEX's internal operations. This includes owning the end-to-end product lifecycle-from opportunity identification and problem framing to experimentation, productionization, and continuous optimization.

This is not a pure delivery or coordination role. You are expected to bring strong technical depth (in AI/ML systems, data, and architecture) paired with a product mindset-prioritizing impact, usability, and measurable outcomes.

• Product Strategy & Ownership: Define and own the roadmap for AI-driven products and intelligent automation initiatives. Identify high-impact opportunities where AI/Agentic can drive efficiency, reduce cost, or unlock new capabilities across WEX.

• Problem Framing & Opportunity Identification: Work closely with stakeholders to deeply understand workflows, data ecosystems, and operational pain points. Translate ambiguous business problems into well-defined AI product opportunities and hypotheses.

• Technical Leadership: Partner closely with data scientists and engineers to design scalable solutions. Contribute to decisions around model selection, architecture, data strategy, and system design-ensuring feasibility and long-term maintainability.

• AI Product Development (01 and Scale): Lead the development of AI-powered applications, including LLM-based systems, agentic workflows, and automation tools. Drive rapid experimentation (POCs, prototypes) while guiding successful solutions into production.

• Data & Experimentation-Driven Decision Making: Define success metrics, design experiments, and leverage data to evaluate performance. Continuously iterate on models, prompts, workflows, and user experiences to improve outcomes.

• Cross-Functional Collaboration: Act as the bridge between business, engineering, and data teams. Communicate complex technical concepts clearly and align stakeholders around priorities, tradeoffs, and impact.

• Operationalization & Continuous Improvement: Ensure production systems are reliable, measurable, and continuously improving. Monitor performance, gather feedback, and evolve solutions based on real-world usage and changing business needs.

• Experience: 5+ years in product management, data science, ML engineering, or related technical roles. Proven experience building or leading AI/ML-powered products from concept to production

• Technical Depth: Strong understanding of machine learning, LLMs, and modern AI architectures. Hands-on experience with Python, APIs, and data systems. Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and model providers (OpenAI, Anthropic, Google, etc.). Ability to engage deeply in discussions on model behavior, prompt design, evaluation, and system tradeoffs

• Product Mindset: Demonstrated ability to define product vision, prioritize effectively, and deliver measurable outcomes. Experience balancing speed vs. scalability, experimentation vs. production rigor.

• Analytical & Systems Thinking: Strong ability to break down complex systems, understand dependencies, and design end-to-end solutions. Comfort working with ambiguous problems and incomplete data

• Communication & Influence: Excellent ability to communicate across technical and non-technical audiences. Strong stakeholder management in cross-functional environments

Preferred (Nice to Have):

• Background in data science, machine learning, or software engineering

• Experience building or managing agentic systems or AI automation workflows

• Cloud experience (AWS, Azure, or GCP), including AI/ML services

• Strong SQL and experience working with large-scale data systems

• Experience in Agile/Scrum environments

• Bachelor's or advanced degree in Computer Science, Data Science, Engineering, or related field

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. For more information on your benefits and total rewards package, visit WEXNet.

Pay Range: $155,000 - $175,000