Founding Support Engineer

TalentPluto, Inc.; New York (NY); Hybrid; USD 170,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

TalentPluto, Inc. is seeking a Founding Support Engineer to build the support function from the ground up for enterprise customers deploying our AI security infrastructure.

You will operate where engineering meets customers, debugging hard issues, defining support processes, and ensuring successful post-sale outcomes. This is a technical, customer-facing role within an established team, offering rapid advancement and leadership opportunities within 6–12 months, a hybrid work model in New York,

Qualifications

• 4-6 years as an engineer, support engineer, solutions engineer, or developer advocate; exceptional candidates with less experience considered
• Strong depth in enterprise infrastructure and AI systems, with experience supporting large enterprises
• Strong CS or statistics foundation
• Startup or consulting background with real-time in front of customers
• AI-native: uses MCPs and AI tools daily, with a customer-first mindset
• Bonus: hands-on MCP or agent tool-calling in production, or security/compliance deployments

Responsibilities

• Own technical support for enterprise customers deploying the product, async and over Slack/Teams
• Debug issues across Python/TypeScript, PostgreSQL, HTTP requests, and Kubernetes pod logs
• Troubleshoot enterprise identity (SSO, SCIM, OAuth) and cloud infrastructure, primarily AWS (EKS/ECS, CloudWatch, VPCs)
• Define SLAs, triage workflows, and escalation paths from zero to one
• Serve as the technical bridge between customers and the engineering team
• Build support tooling and documentation that reduce ticket volume over time

Skills

Python

TypeScript

PostgreSQL

Kubernetes

AWS

Customer-facing

Enterprise infrastructure

Education

B.S. in Computer Science or related field

Tools

Slack

Teams

MCP tooling

Job description

Location: New York, NY

Work Model: Hybrid / flexible

Industry: AI security & infrastructure (Model Context Protocol)

Compensation: ~$180K base, plus performance bonus

About the Company

Our partner is an early-stage, fast-scaling startup building security infrastructure for the Model Context Protocol, protecting enterprises from data leaks as they adopt AI agents. Founded less than a year ago, they already have a multi-million-dollar pipeline, a deeply technical product, and backing from top-tier investors. The bar is high, the pace is fast, and the problems are genuinely hard.

The Opportunity

As the Founding Support Engineer, you will build the support function from scratch for enterprise customers deploying AI infrastructure. You will sit at the intersection of engineering and customers, debugging hard technical problems, defining how support runs, and making enterprise customers successful post-sale.

This is a technical, customer-facing seat for someone who is both an excellent engineer and genuinely comfortable in front of people. You will join an established, professional team rather than a first-engineer situation, with rapid advancement and leadership possible within 6-12 months.

Responsibilities

• Own technical support for enterprise customers deploying the product, async and over Slack/Teams
• Debug issues across Python/TypeScript, PostgreSQL, HTTP requests, and Kubernetes pod logs
• Troubleshoot enterprise identity (SSO, SCIM, OAuth) and cloud infrastructure, primarily AWS (EKS/ECS, CloudWatch, VPCs)
• Define SLAs, triage workflows, and escalation paths from zero to one
• Serve as the technical bridge between customers and the engineering team
• Build support tooling and documentation that reduce ticket volume over time

Requirements

• 4-6 years as an engineer, support engineer, solutions engineer, or developer success advocate; exceptional candidates with less experience considered
• Strong technical depth in enterprise infrastructure and AI systems, with experience supporting large enterprises
• Strong computer science or statistics foundation
• Startup or consulting background with real time in front of customers
• AI-native: uses MCPs and AI tools daily, with excellent written communication and a customer-first mindset
• Consistent tenure without a pattern of short stints
• Bonus: hands-on MCP or agent tool-calling in production, or security-critical / compliance-driven enterprise deployments