Overview As a Senior AI Product Manager Builder at WEX, you will shape end-to-end AI-enabled workflows across Mobility, Payments, and Benefits. You'll work closely with a Tech Builder and domain experts to turn manual processes into governed, agent-assisted experiences. You'll prototype, evaluate, and monitor production systems, owning the problem, user outcomes, and business value while guiding agent behavior and evaluation strategies. This role combines hands-on build with strategic governance to deliver measurable ROI at scale.
Compensation / Benefits- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- tuition reimbursement
Responsibilities- Own problem definition, user outcomes, and business value for AI-enabled workflows
- Prototype and test agent behavior, prompts, tool flows, and multi-agent/human-in-the-loop scenarios
- Collaborate with Tech Builder on production architecture, configurations, and debugging
- Define evaluation criteria, golden datasets, edge cases, and scoring rubrics to drive decisions
- Translate learnings into versioned artifacts (PRDs, acceptance criteria, eval harnesses) with clear traceability
- Map current-state workflows with operators and domain experts, identify frictions, and define future-state experiences
- Monitor production metrics and ensure governance, risk, compliance, and safety controls
- Package reusable patterns and playbooks to speed future deployments
- Navigate legacy enterprise environments to ship working software in real environments
- Balance accuracy, latency, cost, security, and UX to determine AI vs deterministic solutions
Key requirements- 7+ years of Product Management shipping software, data, platform, automation, or AI products to production at scale
- Direct experience with generative AI, LLMs, retrieval/grounding (RAG), tool calling, context management, orchestration, and human-in-the-loop workflows
- Proven experience building or running AI evaluations with golden datasets, quality rubrics, and failure analysis
- Prototyping ability with AI-assisted dev tools, low-code frameworks, APIs, and version-controlled configuration files (Markdown, JSON, YAML)
- Systems thinking and tradeoff evaluation skills balancing accuracy, latency, token/system cost, security, and UX
- Strong communication and cross-functional collaboration skills to align engineers, Risk, Legal, Ops, and executives
- Bachelor's degree in a related field or equivalent practical experience
- collaboration
- evidence-driven decision making
- strong communication
- Generative AI and LLMs
- Retrieval/grounding (RAG)
- Tool calling and orchestration
