Senior Solution Engineer, AI Products - MCP Manager

Usercentrics is a global leader in consent management, and now we're bringing that same mission of trust and control into the AI era. MCP Manager (MCPM) is our newest product: a governance and management platform for Model Context Protocol (MCP), the emerging standard that connects AI agents to business systems like Salesforce, Confluence, Slack, and GitHub.

As AI adoption accelerates, enterprises face a new and urgent challenge: how do you give teams the power of AI agents while maintaining visibility, security, and control over what those agents can access and do? MCP Manager is the answer, serving as the trust and control layer for AI agent connections.

This is a category-creation opportunity. MCP is being compared to the invention of the USB connector for AI: a universal standard that changes everything. We're looking for a Senior Sales Engineer who wants to be on the ground floor of defining that category and to become the technical voice customers trust when they put AI agents into production.

As our Senior Solution Engineer, you will own the technical side of every MCP Manager evaluation, from the first discovery call through a successful proof of concept and into onboarding. After the sale, you will partner with our Customer Success Manager to provide post-sales engineering support as customers expand their use of MCP Manager.

You will partner with each of our Account Executives to win deals across a shared pipeline, lead security and architecture reviews with CISOs and IT teams, and build the demo environments, solution plans, and technical materials that help prospects see MCP Manager working against their own AI stack. When customers run into technical issues, you will investigate and resolve them yourself with modern AI coding tools, bringing in engineering only when needed.

You will sit within the MCP Manager engineering team, which gives you direct access to the people building the gateway and a clear path for turning field feedback into product improvements. The role exists now because buyers are moving from AI experiments to production agent rollouts, and they need a trusted technical guide who can show them how to govern those connections with confidence.

Your Tasks:

Technical Discovery & Demos

Lead technical discovery with AI leads, engineering managers, and IT teams to map each prospect's AI clients, MCP servers, identity provider, and governance requirements.

Deliver tailored product demonstrations that show MCP Manager governing the prospect's own tools and workflows.

Verify compatibility between a prospect's AI ecosystem and MCP Manager before demos and trials, and raise any gaps with product and engineering early.

Proofs of Concept & Trials

Support Account Executives as they scope each proof of concept with the prospect by identifying the technical blockers that need to be resolved before the PoC begins, such as compatibility of the MCP servers and clients in play, workspace access, and identity setup.

Support customers through each proof of concept as they configure gateways, identities, and configure policies themselves, answering their questions in real time over Slack or in-product chat.

Drive each evaluation to a clear technical decision on an agreed timeline and document the outcome for the deal team.

Security & Compliance Reviews

Lead security questionnaires, architecture reviews, and vendor due diligence with CISOs, security teams, and compliance reviewers.

Explain how MCP Manager handles authentication, data flow, logging, and access control in terms that security and audit stakeholders can act on.

Maintain a library of reusable answers and security documentation, working with engineering and Legal to keep it accurate.

Post-Sales Support & Enablement

Build and maintain demo environments, solution plans, reference architectures, and technical guides for the sales team and for prospects.

Partner with our Customer Success Manager to onboard new customers with a documented configuration, and provide ongoing post-sales engineering support as they roll MCP Manager out more widely.

Investigate and resolve prospect & customer technical issues as they arise, using Claude Code and other AI coding assistants to reproduce problems, inspect configurations and logs, and propose fixes before escalating to engineering.

Product Feedback & Documentation

Log feedback, feature ideas, technical objections, and competitive signals from every customer conversation so product and engineering can act on them.

Work closely with the Product Manager to prioritize customer needs, clarify requirements, and validate new features with the customers who asked for them.

Update product documentation, guides, and troubleshooting articles based on what you learn from customer evaluations and support cases.

Requirements

• 3 or more years of experience in sales engineering, solutions engineering, solutions architecture, or a similar customer-facing technical role at a B2B software company.
• A track record of running technical evaluations and proofs of concept that convert into closed business, in close partnership with Account Executives, and experience supporting customers after the sale alongside Customer Success.
• Ability to support several Account Executives at once, running multiple evaluations in parallel and prioritizing your time across a shared pipeline.
• Strong working knowledge of APIs, authentication and authorization (OAuth, SSO, and identity providers), and SaaS configuration. You should also be comfortable reading technical documentation and troubleshooting integrations.
• Basic coding experience, and comfort using Claude Code and other AI coding assistants to investigate and resolve customer issues as they arise. You don't need to be a software engineer, but you should be able to read code, write simple scripts, and debug problems with modern tools.
• Experience supporting security reviews and vendor due diligence, and comfort discussing frameworks such as SOC 2 and HIPAA with security and compliance teams.
• Hands-on experience using AI assistants and agents in your own work, and real curiosity about how enterprises are adopting them.
• Ideally, experience with Model Context Protocol and AI gateways. Must have experience with AI agent tooling and a background in developer tools, security, or governance software.
• Excellent verbal and written communication, with the ability to explain complex technical ideas to engineers and business stakeholders alike.
• Comfort operating in an early-stage, category-creation environment where the playbook is still being written.
• Willingness to travel occasionally for customer meetings and industry events.
• Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Usercentrics we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.