Founding Support Engineer
Talentpluto
| Company | Talentpluto |
| Category | Engineering |
| Location | United States |
| Remote | Remote |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (workable) |
Description
Location: United States (remote) Work Model: Fully remote 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 a founding Support / Forward-Deployed Engineer, you'll sit at the intersection of engineering and customers, deploying the product, solving hard technical problems in the field, and making enterprise customers successful. This is a solutions-engineering-heavy role for someone who is both technically excellent and genuinely comfortable in front of people. You'll join an established, professional environment rather than a first-engineer situation, with room to grow toward founder-level ownership. Responsibilities Deploy and integrate the product into complex enterprise environments Work directly with customers post-sale to ensure technical success Solve hard technical problems across AI agents, MCP integrations, and security tooling Serve as the technical bridge between customers and the engineering team Help shape the forward-deployed / solutions engineering function as an early hire Requirements 5-6 years in a technical, customer-facing role (solutions engineering, forward-deployed engineering, or similar); exceptional candidates with a couple of years of experience considered Strong computer science or statistics foundation and academic pedigree Startup or consulting background with real time in front of customers Demonstrated software / technical skills and the ability to operate in a professional, fast-moving environment Consistent tenure without a pattern of short stints
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