Senior AI Product Manager – AI Builder
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Job Description
Senior AI Product Manager building governed AI agents for WEX’s Mobility, Payments, and Benefits businesses. Prototyping workflows, evaluations, and production monitoring with forward-deployed Builder Pods.
Responsibilities:
- Embed with operators, customers, and domain experts across Mobility, Payments, and Benefits to map workflows, friction, and failure demand
- Define future-state experiences and baseline performance metrics including cycle time, manual hours, containment, and error rates
- Select high-value workflow slices to test feasibility and trust
- Rapidly build and test agent behavior, system context, prompts, tool flows, retrieval/grounding, and multi-agent or human-in-the-loop orchestrations
- Pair with the Tech Builder to adjust repositories and configurations, test scenarios, examine execution traces, and debug agent logic
- Distinguish exploratory learning prototypes from production systems requiring engineering hardening
- Define representative, edge-case, and adversarial AI evaluation scenarios
- Establish pass/fail criteria, assertions, and scoring rubrics for accuracy, tool selection, citation quality, policy adherence, hallucination rates, PII/PHI/PCI safety, and cost per outcome
- Analyze failed traces and build error taxonomies across prompt, context, retrieval, model, and UX issues
- Translate learnings into versioned repository artifacts including PRDs, acceptance criteria, decision logic, eval harnesses, and production metrics
- Maintain traceability from user problem through workflow, requirement, scenario, evaluation, and production metric
- Navigate legacy systems, fragmented APIs, and complex operational policies to demonstrate working software in real environments
- Partner with Risk, Compliance, Security, Legal, and AI Governance on decision boundaries, entitlements, auditability, prompt-injection defenses, and fallback controls
- Instrument live product usage to connect agent performance with business ROI
- Package reusable patterns, runbooks, and controls for domain teams to operate and extend mature solutions
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
- Ability to use AI-assisted development tools, low-code frameworks, APIs, and version-controlled Markdown, JSON, and YAML configuration files
- Skill in balancing accuracy, autonomy, latency, token/system cost, security, and user experience
- Understanding of when to use probabilistic AI versus deterministic code
- Track record driving alignment across Engineers, Risk, Legal, and Operations
- Bachelor’s degree in a related field or equivalent practical experience
- Preferred: experience in regulated industries such as Fintech, Payments, Health/Benefits, Fleet, or Financial Services
- Preferred: experience with enterprise AI governance frameworks, model risk management, responsible AI, or auditability
- Preferred: hands-on experience with agent frameworks, prompt/context engineering tools, or AI experimentation platforms
Benefits:
- Health, dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles
- Comprehensive and market competitive benefits
- Total compensation package
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