Founding Support Engineer (AI Security)

Location: New York, New York, United States; hybrid and flexible work model

Salary: approximately $180,000 base per year plus performance bonus

Company

Early-stage, fast-scaling startup building security infrastructure for the Model Context Protocol to protect enterprises from data leaks as they adopt AI agents.

What you will do

• Own technical support for enterprise customers deploying AI infrastructure through asynchronous channels, Slack, and Teams.
• Debug issues across Python, TypeScript, PostgreSQL, HTTP requests, and Kubernetes pod logs.
• Troubleshoot enterprise identity systems, including SSO, SCIM, and OAuth, plus AWS infrastructure such as EKS, ECS, CloudWatch, and VPCs.
• Define SLAs, triage workflows, and escalation paths from zero to one.
• Act as the technical bridge between customers and engineering.
• Build support tooling and documentation to reduce ticket volume over time.

Requirements

• 4–6 years of experience as an engineer, support engineer, solutions engineer, or developer success advocate; exceptional candidates with less experience may be considered.
• Strong technical depth in enterprise infrastructure and AI systems, including experience supporting large enterprises.
• Strong foundation in computer science or statistics.
• Startup or consulting experience with substantial customer-facing work.
• Daily use of MCPs and AI tools, excellent written communication, and a customer-first mindset.
• Consistent professional tenure without a pattern of short stints.

Nice to have

• Hands-on MCP or agent tool-calling experience in production.
• Experience with security-critical or compliance-driven enterprise deployments.

Culture & Benefits

• Hybrid and flexible work model in New York.
• Opportunity to join an established professional team.
• Rapid advancement and potential leadership opportunities within 6–12 months.
• Performance bonus in addition to the base salary.