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Usercentrics is seeking a Software Engineer for the MCP Manager team in New York. You will work on features to govern AI agents, split time between Vue.js frontend and Python/Django backend, and operate within Google Cloud Platform.
Join a startup-like team inside a larger company and own the quality of your code. You will collaborate closely with product, design, and fellow engineers to ship features and improve reliability.
Hybrid: New York, NY (2-3 days per week in office). The office is located in Midtown West, less than a 10-minute walk from Port Authority and under 5 minutes from Penn Station and Herald Square.
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 Software Engineer who wants to be on the ground floor of defining that category and to build the product enterprises rely on to govern their AI agents.
As a Software Engineer on the MCP Manager team, you will build the features customers use to govern their AI agents, such as gateway configuration, identity and access policies, and audit logging. You will split your time evenly between our Vue.js front end and our Python/Django and TypeScript back end, all running on Google Cloud Platform. You will work closely with our Product Manager, our designer, and your fellow engineers to take features from spec to production, and you will own the quality of what you ship.
You will join a small, high-ownership engineering team that operates like a startup inside a larger company, with a short path from customer feedback to shipped code. The role exists now because buyers are moving from AI experiments to production agent rollouts, and they need the governance layer beneath those agents to keep pace with new MCP servers, clients, and security requirements.
Salary Range: $170,000 - $185,000
The annual base salary range is determined based on a variety of factors, including geographic location, role-specific skills, relevant experience, and internal equity. Usercentrics is committed to transparent and equitable compensation practices.
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.