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About the Role
WEX is deploying governed, production-grade AI agents across Mobility, Payments, and Benefits to resolve enterprise data, systems, and domain expertise into outcomes at scale. We are seeking a Senior AI Product Manager Builder to join a forward-deployed Builder Pod, working with a Tech Builder and domain experts to transform manual workflows into agent-assisted experiences. This is a hands-on role focused on business workflow mapping, prototyping, evaluation, and production monitoring, owning the problem, user outcome, business value, agent behavior, and evaluation strategy.
Responsibilities
- Embed directly with operators, customers, and domain experts to map current-state workflows, friction, and failure demand.
- Define future-state experiences, set baseline performance metrics, and select high-value slices for testing.
- Rapidly build and test agent behavior, system context, prompts, tool flows, retrieval/grounding, and orchestrations using WEX’s Agentic AI platform.
- Pair directly with your Tech Builder to open repositories, adjust configurations, test scenarios, examine execution traces, and debug agent logic.
- Distinguish between rapid exploratory learning prototypes and production systems requiring engineering hardening.
- Define representative, edge-case, and adversarial scenarios alongside domain experts for evaluation.
- Establish pass/fail criteria, assertions, and scoring rubrics covering accuracy, tool selection, citation quality, policy adherence, hallucination rates, safety, and cost per outcome.
- Analyze failed traces to build error taxonomies to prevent 'demo-driven development.'
- Translate learnings into versioned repository artifacts (PRDs, acceptance criteria, decision logic, eval harnesses) that serve as a shared source of truth.
- Maintain clear traceability from User Problem to Production Metric.
- Navigate enterprise legacy systems, fragmented APIs, and complex operational policies to show working software in real environments.
- Partner with Risk, Compliance, Security, Legal, and AI Governance to embed decision boundaries, entitlements, auditability, prompt-injection defenses, and fallback controls.
- Instrument live product usage to connect agent performance directly to business ROI.
- Package reusable patterns, runbooks, and controls for domain teams to operate and extend capabilities.
Requirements
- 7+ years of Product Management experience 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, structured outputs, and human-in-the-loop workflows.
- Proven experience building or running AI evaluations using golden datasets, quality rubrics, failure analysis, or model-based judges.
- Demonstrated ability to use AI-assisted dev tools, low-code frameworks, APIs, and version-controlled configuration files (Markdown, JSON, YAML) to bring concepts to life.
- Skill in balancing accuracy, autonomy, latency, token/system cost, security, and user experience, with a clear understanding of when to use probabilistic AI versus deterministic code.
- Track record of driving alignment across cross-functional partners (Engineers, Risk, Legal, Operations) and making complex AI tradeoffs clear to executive audiences.
- Bachelor’s degree in a related field or equivalent practical experience.
- Experience in highly regulated industries such as Fintech, Payments, Health/Benefits, Fleet, or Financial Services.
- Background working with enterprise AI governance frameworks, model risk management, responsible AI, or auditability.
- Hands-on experience with agent frameworks, prompt/context engineering tools, or AI experimentation platforms.
Skills
- Generative AI
- LLMs
- Retrieval/Grounding (RAG)
- Tool Calling
- Context Management
- Orchestration
- Structured Outputs
- Human-in-the-loop workflows
- AI Evaluations
- Golden Datasets
- Quality Rubrics
- Failure Analysis
- Model-based Judges
- AI-assisted Dev Tools
- Low-code Frameworks
- APIs
- Markdown
- JSON
- YAML
- Systems Thinking
- Tradeoff Analysis
- Communication
- Collaboration
- Agent Frameworks
- Prompt Engineering
- Context Engineering
- AI Experimentation Platforms
Experience Level
- Senior
Education Level
- Bachelor's degree or equivalent practical experience
Salary/Compensations
- $125,300.00 - $154,100.00
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
About the Company
- WEX is putting governed, production-grade AI agents to work across Mobility, Payments, and Benefits to turn enterprise data, systems, and deep domain expertise into resolved outcomes at scale.