Pareto
Technology
HeadofEngineering
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optimal for Manager candidates.
“Head of Engineering at Pareto. Skills: Engineering leadership, AI/ML infrastructure, Platform scaling. Lead engineering team. Coach engineering team”
What You'll Achieve.
Speed up what they ship
Industry & Context.
Incident management
What They're Looking For.
Must Have
Managed engineering team of meaningful size, Grown people and systems through fast growth, Read PR and push back on architecture, Useful in an incident, Grown managers, Held onto good engineers, Hold conversation about LLMs, Hold conversation about agents, Hold conversation about evals, Hold conversation about RL environments, Credible in AI/ML field, At least two days a week in office
Nice to Have
View on where post-training goes next
What You'll Do.
Lead engineering team
Coach engineering team
Develop engineering team
Build healthy culture
Make architecture calls
Keep training signal clean
Be engineering point of contact
Make coding agents default
How You'll Work.
Team & Collaboration
Work with Research; Work with Applied AI; Work with Operations
Communication Scope
Technical communication
Process & Methodology
Roadmap planning
Full Job Description
ABOUT PARETO Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment https://pareto.ai/blog/debating-persuasive-llms-truthful-answers. At Pareto, we build the platform that turns that judgment into the data https://pareto.ai/blog/community-driven-knowledge-resource-ai, evals https://pareto.ai/blog/introducing-attunebench, and RL environments frontier models https://pareto.ai/blog/llm-metacognition-shared-and-shallow learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates. This RL environment and human-data infrastructure is already in production. Our job now is to scale it. THE ROLE We're hiring a Head of Engineering to lead the teams behind our RL environment and human-data platform. You'd report to our founder and CEO, Phoebe Yao, and work closely with Research, Applied AI, and Operations. The team is already strong with two team leads. Your job is to make them better and speed up what they ship for the labs at the frontier. You won't write much code here, but you can't be a stranger to it. When an incident hits, we want you in the room, and you should be able to tell an engineer, honestly, when their work isn't ready. We'll also want your read on where RL post-training goes next. WHAT YOU'LL OWN Leadership and development. Lead, coach, and develop the engineering team. Set the performance bar, build a healthy culture, and grow the leads beneath you into the next layer of leadership. Hiring and capacity. Own hiring and headcount in a highly competitive talent market. Be honest about what the team can actually take on. Technical direction. Set the quality bar for our RL environment and human-data infrastructure, and make the architecture calls that let it scale. The hard part is keeping the training signal clean as volume c
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