Senior AI Product Manager (Agent Platform)
WEX Open Remote United States Full-time Senior Product Management
At a glance
Senior Product Management role at WEX. Remote, United States · full-time · $125,300–$154,100 base.
SalaryStated by WEX
$125,300 – $154,100
Base salary for this role, in USD per year, as published in the posting.
RoleProduct Management
SenioritySenior
LocationUnited States
WorkplaceRemote
EmploymentFull-time
Base pay$125,300–$154,100
PostedOct 26, 2026
Role brief
remoteroles summary, based on the employer's posting.
What you'll do
- Set onboarding routes, bring teams into pilots, and turn strong results into reusable examples while tracking impact
- Shape the builder journey from initial discovery through launch, using documentation and self-service to reduce friction
- Prioritize requests and publish a roadmap covering registration, model routing, identity, logs, and controlled access
- Work with security, infrastructure, risk, and compliance teams to build governance into the standard path and clear adoption barriers
- Coordinate alpha, beta, and general releases with clear readiness criteria, then measure production use, time-to-value, and repeat usage
What you bring
- Senior product management experience owning a platform, developer tool, API product, infrastructure, or shared service
- Strong grasp of generative AI, agent systems, language models, retrieval, grounding, tool use, and orchestration
- A track record growing platform adoption and improving builder experience through useful guides, quickstarts, and reference patterns
- Knowledge of enterprise protections such as identity, authentication, limited access, audit records, and risk tiering
- Practical ability to configure systems, work with APIs and AI tools, and inspect logs or traces using formats such as JSON or YAML
Who this fits
This is a hands-on senior product role for someone who can guide technical teams and influence security and executive stakeholders without formal authority. The position is remote in the United States.
From the employer
About the Team/Role:
WEX is building an enterprise Agentic AI Platform that enables teams to create, deploy, govern, and scale AI agents across the company. As the Senior AI Product Manager - Agent Platform, you will own the capabilities, builder experience, and go-to-market motions that turn this platform into something teams adopt, trust, and build on. In this hands-on role, you will move fluidly from defining capabilities to onboarding early adopters, shaping the paved roads that make building governed agents at WEX easier, faster, and more secure.
How you’ll make an impact:
- Adoption & Go-to-Market Strategy: Own the adoption lifecycle, defining onboarding paths, recruiting pilot teams, and turning successful pilots into reusable reference implementations while measuring outcomes.
- Builder Experience: Drive the end-to-end builder journey from discovery to deployment, treating documentation and self-service onboarding as product surfaces and systematically removing friction.
- Roadmap & Prioritization: Manage platform demand and maintain a transparent, user-facing capability roadmap for agent registration, model routing, identity, logging, and governed access.
- Governance & Unblocking: Partner with Security, Infrastructure, Risk, and Compliance to build enterprise governance into the paved road, ensuring the compliant path is the fastest path and removing adoption blockers.
- Release Lifecycle: Own the alpha, beta, and GA lifecycle for platform components, establishing clear entry/exit criteria and coordinating releases across interdependent components.
- Measurable Value: Define and track success metrics beyond agent registration, focusing on production use cases unlocked, time-to-value, recurring usage, and business outcomes.
Experience you’ll bring:
- Education: Bachelor's degree in marketing, business or a related field or equivalent practical experience.
- Experience: Senior experience in Product Management, including ownership of a platform, developer tooling, API product, infrastructure, or shared service used by other teams.
- Technical Skills: Strong understanding of applied generative AI, agentic systems, LLMs, retrieval and grounding, tool use, and orchestration.
- Builder Empathy: Proven track record of driving platform adoption, owning the developer/builder experience, and creating actionable documentation, quickstarts, and reference patterns.
- Governance & Security: Solid knowledge of enterprise controls, including authentication, identity, least-privilege access, audit logging, and risk tiering.
- Hands-on Technical Depth: Ability to configure systems, call APIs, use AI-assisted tools, and read execution logs or traces (working with Markdown, JSON, YAML, etc.).
- Communication & Influence: Excellent written and verbal communication skills, with the ability to translate complex platform concepts and influence technical, security, and executive stakeholders without direct authority.
What will give you an edge:
- Experience with an AI/agent platform, model gateway, integration gateway, or tool-access protocols like MCP.
- Experience evolving an internally focused platform to support external customers or partners.
- Background in AI governance, model risk, agent registries, or responsible AI programs.
- Experience launching low-code/no-code tooling alongside developer-facing capabilities.
- Experience in highly regulated environments such as payments, fintech, or healthcare.
- Familiarity with cloud IAM, service-to-service authentication, or AI evaluation frameworks.
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