Senior Solution Engineer, AI Products – MCP Manager

Usercentrics

. Lead technical discovery with AI leads, engineering managers, and IT teams to map AI clients, MCP servers, identity providers, and governance requirements.

Posted 10/20/2026full-timeNew York City • New York • United StatesSenior💰 $194,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in sales engineering and solutions architecture, with a strong focus on technical evaluations, proofs of concept, and customer onboarding. Proficient in APIs, authentication, and AI tools, ensuring effective communication and collaboration with stakeholders.

Highest-signal resume keywords

Sales Engineering ExperienceTechnical Evaluations and Proofs of ConceptAPIs and Authentication KnowledgeAI Assistant Tooling ExperienceSecurity Reviews and Vendor Due Diligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Sales EngineeringSolutions ArchitectureTechnical EvaluationsAPIsAuthenticationOAuthSSOBasic CodingTroubleshooting IntegrationsAI Agent Tooling

Soft Skills

Excellent CommunicationCuriosity About AI AdoptionAbility to Prioritize

Tools & Technologies

Claude CodeAI Coding AssistantsMCP ManagerDemo EnvironmentsSecurity Documentation

Industry Keywords

B2B SoftwareSOC 2HIPAAIdentity ProvidersGovernance Software

About the role

Key responsibilities & impact

Lead technical discovery with AI leads, engineering managers, and IT teams to map AI clients, MCP servers, identity providers, and governance requirements.
Deliver tailored demonstrations using prospects' own tools and workflows.
Verify compatibility between prospects' AI ecosystems and MCP Manager before demos and trials.
Support Account Executives in scoping proofs of concept and identifying technical blockers.
Support customers during proofs of concept as they configure gateways, identities, and policies.
Drive evaluations to clear technical decisions on agreed timelines and document outcomes.
Lead security questionnaires, architecture reviews, and vendor due diligence.
Explain authentication, data flow, logging, and access control to security and audit stakeholders.
Maintain reusable security answers and documentation with Engineering and Legal.
Build and maintain demo environments, solution plans, reference architectures, and technical guides.
Partner with Customer Success to onboard customers and provide ongoing post-sales engineering support.
Investigate and resolve prospect and customer technical issues using Claude Code and other AI coding assistants.
Log customer feedback, feature ideas, technical objections, and competitive signals.
Work with Product Management to prioritize customer needs and validate new features.
Update product documentation, guides, and troubleshooting articles.

Requirements

What you’ll need

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.
Track record of running technical evaluations and proofs of concept that convert into closed business, in close partnership with Account Executives.
Experience supporting customers after the sale alongside Customer Success.
Ability to support several Account Executives at once, run multiple evaluations in parallel, and prioritize time across a shared pipeline.
Strong working knowledge of APIs, authentication and authorization, OAuth, SSO, identity providers, and SaaS configuration.
Comfort reading technical documentation and troubleshooting integrations.
Basic coding experience; ability to read code, write simple scripts, and debug problems with modern tools.
Comfort using Claude Code and other AI coding assistants to investigate and resolve customer issues.
Experience supporting security reviews and vendor due diligence.
Comfort discussing SOC 2 and HIPAA with security and compliance teams.
Hands-on experience using AI assistants and agents in personal work.
Real curiosity about enterprise AI adoption.
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.
Comfort operating in an early-stage, category-creation environment.
Willingness to travel occasionally for customer meetings and industry events.

Benefits

Comp & perks

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/lunches, in-person and virtual
Refreshments: snacks, fruit, coffee, and drinks in the office
Flexible working hours
Possibility of workcations (in accordance with company policy)
Job-related language courses
Wellbeing and growth support