Founding Engineer
Engineering · Posted last month
We need a high-caliber engineer with 0-5+ years of experience (including internships) who has shipped production systems at top-tier engineering organizations. You should be comfortable working at founding-stage intensity — owning features end-to-end, shipping directly to enterprise customers within weeks, and operatin...
- Way of working
- On site
- Location
- San Francisco, CA
- Pay range
- $250,000 to $400,000
- Level
- Junior
- Experience
- 0 to 5 years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
Skills that matter here
What you would be doing
- Own and ship entire features end-to-end that go live with Fortune 500 enterprise customers within weeks
- Build the data plane that ingests an enterprise's entire AI footprint — high-volume, heterogeneous telemetry from EDR, network, identity, and model gateways
- Design and implement real-time detection and policy enforcement for novel agent failure modes
- Work directly with enterprise customers during POCs and deployments, often shipping features mid-engagement
- Train small models to make fast inline judgments against behavioral baselines under tight latency budgets
- Red-team models and agents to find failures before customers do — prompt injection, tool misuse, data exfiltration, scope drift
- Shape the architecture and technical direction of the platform alongside a small, intense founding team
The full description
What we're looking for:
We need a high-caliber engineer with 0-5+ years of experience (including internships) who has shipped production systems at top-tier engineering organizations. You should be comfortable working at founding-stage intensity — owning features end-to-end, shipping directly to enterprise customers within weeks, and operating with minimal scaffolding. Bonus points if you have distributed systems, security engineering, or applied ML depth, or come from a quant/competitive programming background.
What you'll do:
- Own and ship entire features end-to-end that go live with Fortune 500 enterprise customers within weeks - Build the data plane that ingests an enterprise's entire AI footprint — high-volume, heterogeneous telemetry from EDR, network, identity, and model gateways - Design and implement real-time detection and policy enforcement for novel agent failure modes - Work directly with enterprise customers during POCs and deployments, often shipping features mid-engagement - Train small models to make fast inline judgments against behavioral baselines under tight latency budgets - Red-team models and agents to find failures before customers do — prompt injection, tool misuse, data exfiltration, scope drift - Shape the architecture and technical direction of the platform alongside a small, intense founding team
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
Tell us about you