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Trajectory Labs, PBC is building safety evals, red-teaming programs, and RL environments for frontier AI models. You will lead a growing red-team, own delivery for frontier lab customers, and automate workflows to scale impact.
This player-coach role combines coding, strategy, and cross-team collaboration. You'll manage and scale the red team, set priorities, and drive the QA bar while partnering with founding engineers on the technical roadmap and pricing strategy.
You'll manage our growing red-team, own delivery for frontier lab customers, and build the automation that allows us to scale.
This is a player-coach role: you'll split your time between writing code, setting strategy, and working with frontier lab researchers and expert red teamers.
We're an early-stage startup, so you should expect and enjoy that your responsibilities will grow and priorities change quickly.
Our mission is to automate AI safety , to pave the way for a future where the vast majority of AI safety work is done by AI models.
Frontier models already solve coding problems that take humans days, but a model that can be hijacked by a malicious email or web page can't be trusted to work on its own. Before AI can do the work that matters, including AI safety research itself, models have to be robust to attack. So we build the safety and alignment evals, red-teaming programs, and RL environments that find these failures and train them out.
You'll run our prompt injection red-teaming line end to end. Frontier labs want more of this work than we can currently deliver; your job is to turn that demand into safer models.
You'll:
You'll work closely with our founders and the teams developing frontier models, with unusual autonomy to make consequential decisions. The work you lead shapes system cards, deployment safeguards, and how much the world can trust the most capable AI systems.
These criteria are a guide, not a checklist.