Senior Product Manager (Enterprise MCP/AI Control Plane)

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Responsibilities

The Model Context Protocol (MCP) is rapidly becoming the standard for how AI agents connect to enterprise systems — and Workato is building the gateway, governance, and runtime layer that makes MCP safe and scalable for the largest enterprises in the world. We are looking for a Senior Product Manager to own critical pieces of our Enterprise MCP roadmap and help shape how thousands of customers expose their tools, data, and workflows to AI agents.

You'll work at the intersection of API management, identity, and AI infrastructure. Your decisions will shape how AI agents authenticate, what they're allowed to do, and how enterprises observe and govern agent behavior across hundreds of MCP servers and millions of tool invocations.

This is a builder role on a small, senior team. You'll write PRDs that go straight into engineering, run customer design partners, present to analysts, and partner with GTM to land enterprise deals. If you've been waiting for the right moment to go deep on agentic infrastructure with the API and gateway chops you've built — this is it.

MCP Gateway capabilities — Drive the roadmap for one or more pillars of our gateway: authentication and identity (OAuth, OIDC, DCR, M2M), policy enforcement, observability, or runtime performance.

MCP server lifecycle — Define how MCP servers are designed, published, versioned, and governed across customer environments. Set quality bars and develop the frameworks (tiering, certification, server design best practices) that scale across the ecosystem.

Enterprise readiness — Translate enterprise security, compliance, and audit requirements into shippable product. Work directly with CISO and platform teams at design-partner customers.

Cross-functional leadership — Partner with engineering leads on architecture decisions, with GTM on positioning and enablement, and with analyst relations on category-defining narratives (Gartner, Forrester).

Competitive and market intelligence — Maintain a sharp point of view on the MCP landscape — OSS projects, hyperscaler offerings, and competing platforms — and translate that into product bets and differentiation.

Requirements

Qualifications / Experience / Technical Skills

4–5 years of product management experience, with at least 2 years on API platforms, API gateways, integration platforms, or developer infrastructure.

Deep technical fluency in API management and gateway architecture — you understand the difference between an API gateway, an ingress controller, and a service mesh, and can hold your own in design reviews on rate limiting, routing, policy enforcement, and observability.

Working knowledge of OAuth 2.0, OIDC, and modern identity patterns (authorization code flow, client credentials, DCR, token exchange). You can read an RFC and tell engineering whether the proposed design is spec-compliant.

Track record of shipping technical products to enterprise customers, including writing PRDs that engineers respect and running design partner programs.

Strong written communication — you can move fluently between a CISO briefing, a developer-facing blog post, and a six-page strategy doc.

Strongly Preferred

Experience with AI Gateway, LLM proxy, or agent runtime products (e.g., LiteLLM, Portkey, Kong AI Gateway, or in-house equivalents). Bonus if you've thought hard about prompt injection, tool poisoning, or agent identity.

Hands-on familiarity with MCP as a spec — you've built an MCP server, integrated one, or have strong opinions about transports, resources vs. tools, and elicitation.

Nice to Haves

Prior experience at an iPaaS, API management vendor, or AI infrastructure company.

Analyst relations experience (Gartner MQ, Forrester Wave).

Conference speaking or technical writing presence in the API or AI infra communities.