> Markdown version of [/jobs/ext/3965361-senior-ai-product-manager-agent-platform](https://www.wearedevelopers.com/jobs/ext/3965361-senior-ai-product-manager-agent-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI Product Manager (Agent Platform)

- **Company:** WEX Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $125,300.0 - $154,100.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, User Authentication, System Configuration, Programming Tools, JSON, Software Product Management, Markdown, YAML, Data Logging, Large Language Models, Generative AI, Agentic-AI, Low-code
- **Published:** October 27, 2026
- **Apply:** https://wexinc.wd5.myworkdayjobs.com/WEXInc/job/US---Remote/Senior-AI-Product-Manager--Agent-Platform-_R23136

## About the Role

* 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.

## Description

* 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.