Founding Engineer
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About the Role
Join an early-stage cybersecurity team building systems to monitor and secure enterprise AI deployments. You will help shape the platform's architecture and deliver production features directly to enterprise customers.
What You'll Do
Own features end to end and ship them into production for enterprise customers.
Build data infrastructure that ingests high-volume telemetry from endpoint, network, identity, and AI model systems.
Develop real-time detection and policy enforcement for emerging risks in AI agents.
Work with customers during proofs of concept and deployments, adapting and delivering features as needed.
Train small models to make low-latency decisions based on behavioral baselines.
Red-team AI models and agents to identify issues such as prompt injection, tool misuse, data exfiltration, and scope drift.
Help define the platform architecture and technical direction.
What We're Looking For
0 to 5 years of software engineering experience, including internships, with a focus on backend or full-stack development.
Strong backend and systems fundamentals, including experience with distributed systems, infrastructure, or production services at scale.
Experience delivering production systems and working in a startup or other fast-paced engineering environment.
Familiarity with Go or Rust, streaming pipelines, real-time data infrastructure, cloud infrastructure, and integrations with endpoint security tools.
Background in cybersecurity, security engineering, adversarial testing, applied machine learning, model fine-tuning, or post-training is valuable.
Customer-facing engineering experience, competitive programming, or quantitative engineering experience is a plus.
Compensation & Benefits
Base salary is $160,000 to $300,000 annually. Equity is included. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.