Founding Engineer
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About the Role
Join an early-stage cybersecurity team building systems to monitor and secure enterprise AI use. You will help shape the platform's architecture while delivering production features for enterprise customers.
What You'll Do
Own features end to end, from design through deployment 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 directly with customers on proofs of concept and deployments, adapting and shipping features as needed.
Train small models to make low-latency decisions based on behavioral baselines.
Test models and agents for issues such as prompt injection, unsafe tool use, data exposure, and scope drift.
Contribute to platform architecture and technical direction as part of a small engineering team.
What We're Looking For
0 to 5 years of software engineering experience, including internships, with backend or full-stack production deployment experience.
Strong backend and systems fundamentals, including experience with distributed systems or infrastructure.
Experience building production systems in a fast-paced engineering environment; startup experience is valued.
Familiarity with Go or Rust, streaming pipelines, real-time data infrastructure, and cloud systems.
Background in cybersecurity, security engineering, red teaming, adversarial machine learning, or customer-facing engineering is a plus.
Applied machine learning, model post-training, or fine-tuning experience is beneficial, as is experience in quantitative engineering or competitive programming.
Strong computer science fundamentals or equivalent experience.
Compensation & Benefits
Base salary: $160,000 to $300,000 annually. Visa sponsorship is available. Equity details were not provided.
Location
On-site in San Francisco, California, United States.