Senior Solution Engineer, AI Products - MCP Manager

Usercentrics • New York, NY

8d • Hybrid

About The Position

Usercentrics is hiring a Senior Solution Engineer for MCP Manager, its governance and management platform for Model Context Protocol (MCP), which connects AI agents to business systems. The role is part of the MCP Manager engineering team and serves as the technical lead for customer evaluations, from discovery through proof of concept and onboarding. The engineer partners with Account Executives to win deals and with the Customer Success Manager to support customers after the sale as they expand their use of the product.

The position involves leading technical discovery, tailored demonstrations, proofs of concept, security and architecture reviews, and vendor due diligence. The engineer builds demo environments, solution plans, reference architectures, and technical materials; investigates customer issues using AI coding assistants; and brings customer feedback to product and engineering teams. The role is in an early-stage, category-creation environment, and includes occasional travel for customer meetings and industry events.

Usercentrics describes itself as a fast-growing, diverse, international team. It offers a hybrid workplace and flexible working hours, with offices across Munich, Prague, Lisbon, Copenhagen, Odense, Buenos Aires, and New York. The company highlights its positive, vibrant, and inspiring culture, cross-department initiatives, team events, and support for employee wellbeing and professional growth.

Requirements

• At least 3 years of experience in sales engineering, solutions engineering, solutions architecture, or a similar customer-facing technical role at a B2B software company.
• Track record of running technical evaluations and proofs of concept that convert into closed business in partnership with Account Executives.
• Experience supporting customers after the sale alongside Customer Success.
• Ability to support multiple Account Executives, run evaluations in parallel, and prioritize time across a shared pipeline.
• Strong working knowledge of APIs, authentication and authorization (including OAuth, SSO, and identity providers), and SaaS configuration.
• Ability to read technical documentation and troubleshoot integrations.
• Basic coding experience and comfort using Claude Code and other AI coding assistants to investigate and resolve customer issues; ability 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 personal work, and genuine curiosity about enterprise adoption of AI agents.
• Experience with AI agent tooling.
• Excellent verbal and written communication skills, including the ability to explain complex technical ideas to engineering and business stakeholders.
• Comfort working in an early-stage, category-creation environment where the playbook is still being written.
• Willingness to travel occasionally for customer meetings and industry events.

Nice To Haves

• Experience with Model Context Protocol and AI gateways.
• Background in developer tools, security, or governance software.

Responsibilities

• Lead technical discovery with AI leads, engineering managers, and IT teams to map prospects’ AI clients, MCP servers, identity providers, and governance requirements.
• Deliver tailored demonstrations showing MCP Manager governing prospects’ tools and workflows.
• Verify compatibility between prospects’ AI ecosystems and MCP Manager before demonstrations and trials, and raise gaps with product and engineering teams.
• Help Account Executives scope proofs of concept by identifying technical blockers, including MCP server and client compatibility, workspace access, and identity setup.
• Support customers during proofs of concept as they configure gateways, identities, and policies, answering questions over Slack or in-product chat.
• Drive evaluations to a clear technical decision on an agreed timeline and document outcomes for the deal team.
• Lead security questionnaires, architecture reviews, and vendor due diligence with security, compliance, and IT stakeholders.
• Explain MCP Manager’s authentication, data flow, logging, and access control to security and audit stakeholders.
• Maintain reusable security answers and documentation in collaboration with engineering and Legal.
• Build and maintain demo environments, solution plans, reference architectures, and technical guides for the sales team and prospects.
• Partner with the Customer Success Manager to onboard customers with documented configurations and provide ongoing post-sales engineering support.
• Investigate and resolve prospect and customer technical issues using Claude Code and other AI coding assistants; escalate to engineering when needed.
• Record customer feedback, feature ideas, technical objections, and competitive signals for product and engineering teams.
• Work with the Product Manager to prioritize customer needs, clarify requirements, and validate new features with customers.
• Update product documentation, guides, and troubleshooting articles based on customer evaluations and support cases.
• Support multiple Account Executives and manage parallel evaluations across a shared pipeline.
• Travel occasionally for customer meetings and industry events.

Benefits

• 401(k) plan contribution with employer match
• 18 paid vacation days (PTO)
• Health insurance
• Personal development budget for every employee
• Hybrid workplace
• Online wellness sessions
• Team events, including team buildings, happy hours, company breakfasts and lunches, and in-person and virtual events
• Office refreshments, including snacks, fruit, coffee, and drinks
• Flexible working hours
• Possibility of workcations in accordance with company policy
• Job-related language courses

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed