Member of Technical Staff, Platform Engineering
- Location
- San Francisco
- Workplace
- On-site
- Compensation
- $150k – $350k + equity
About this role
What we're looking for:
We need a highly technical engineer with deep experience in distributed systems, LLMs, and simulation infrastructure who can operate with extreme ownership and a founder mentality. You should be comfortable working across the full stack—from customer-facing products to internal infrastructure—and have a track record of building systems that scale to billions of events. Bonus points if you have experience with reinforcement learning, AI agents, or prior founding experience.
What you'll do:
Own and extend key parts of the core simulation engine, adding new features and improving performance metrics such as throughput and cost
Build and scale infrastructure capable of handling 10B+ events and tens of thousands of monthly users (both human and virtual)
Work directly with the Head of Engineering to architect, build, and deploy projects across customer-facing products and internal systems
Leverage coding agents (Codex, Claude Code) to accelerate development velocity and establish best practices
Establish engineering culture and standards as the technical team continues to scale
Stay current with SOTA research in evaluations, RL, and agent architectures, translating papers into production systems
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Team obsesses about data and its impact on safe, reliable AI
Team specializes in creating environments and datasets for RL by leveraging experience in simulation and model training
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