Sr AI Product Manager

WEXPortland, ME
$155,000 - $175,000

About The Position

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.

Requirements

  • 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
  • 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
  • Demonstrated ability to define product vision, prioritize effectively, and deliver measurable outcomes.
  • Experience balancing speed vs. scalability, experimentation vs. production rigor.
  • Strong ability to break down complex systems, understand dependencies, and design end-to-end solutions.
  • Comfort working with ambiguous problems and incomplete data
  • Excellent ability to communicate across technical and non-technical audiences.
  • Strong stakeholder management in cross-functional environments

Nice To Haves

  • 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

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Define success metrics, design experiments, and leverage data to evaluate performance.
  • Continuously iterate on models, prompts, workflows, and user experiences to improve outcomes.
  • Act as the bridge between business, engineering, and data teams.
  • Communicate complex technical concepts clearly and align stakeholders around priorities, tradeoffs, and impact.
  • 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.

Benefits

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