Founding Engineer

About Traceforce

Securing AI native apps directly on devices

Tech description:

A few of the problems you could work on:

- **TraceGraph.** Infrastructure to query how identities, prompts, and tool calls flow across every employee AI workload in an organization. The scale, and turning that data into something queryable, are both hard problems.
- **Cross-platform endpoint software (macOS, Windows, Linux).** Discovering and securing AI agents, MCP servers, and skills running across an organization, with real-time detection and guardrails, including inside sandboxes, plus browser extensions.
- **Inline policy enforcement.** A transparent proxy that intercepts agent tool calls and applies access control in real time, on the critical path and under a tight latency budget.
- **Deep security research.** Static and dynamic analysis of MCP servers and agent skills, feeding a pipeline that turns findings into published CVEs.

We build with agents as much as we secure them. Our detection and research pipelines run on agentic workflows, and so do we.

These problems have no playbook. The category barely exists yet, and the people who join now get to define how it's solved.

Mostly Go and Node.js.

Job description:

We're looking for our first founding engineer to help build a new category of endpoint security for AI workloads. We're already in production across 1,000+ enterprise endpoints, surfacing tens of thousands of actionable security issues across the agents and MCP servers our customers run. You'll work directly with the founders and alongside our existing team, on the core product, across the full stack, on problems that don't have established answers yet.

This is a senior, hands-on role on a small team with a high bar. You'll have real input on what we build and deep ownership of how it gets built.

**What you'll do**

\- Own a meaningful part of the product end-to-end

\- Work across our surfaces: the cross-platform endpoint agent, the policy-enforcement proxy, TraceGraph, and our security research pipeline

\- Prototype across AI/LLM integrations, endpoint detection, and security tooling, then harden into production

\- Talk to real users and let their feedback drive what you build next

**What we're looking for**

\- Strong engineer who can work across our stack (Go and Node.js)

\- Has shipped and owned production systems, ideally at a startup

\- Comfortable working with LLMs and APIs

\- Interested in security, or a fast enough learner to go deep quickly

\- Fluent with AI coding tools, and understands every line they ship

\- Can take a project from idea to production independently and turn a rough direction into shipped product

\- Bonus: experience with endpoints (macOS, Windows, Linux) or browser extensions

As our first founding engineer, you'll have more influence over the product and company than anyone we hire after you, with the ownership and equity to match, and your code will run at real enterprises within weeks.

Skills:

Amazon Web Services (AWS), Go, Node.js, PostgreSQL, Windows, Docker, Protobuf, LLMs