What we’re building

Not Diamond is the world's most powerful intelligent model router for coding agents. We help engineering teams achieve frontier quality at a fraction of the price by automatically selecting the best model at the lowest cost for each prompt. We’re backed by Jeff Dean (Google), Julien Chaumond (Hugging Face), Ion Stoica (Anyscale, Databricks), Zack Kass (OpenAI), Olivier Pomel (Datadog), Akshay Kothari (Notion), Arash Ferdowsi (Dropbox), Tom Preston-Werner (Github), Guillermo Rauch (Vercel), Scott Belsky (Adobe), Jeff Weiner (LinkedIn), Eoghan McCabe (Intercom), and many more.

Why this role matters

We believe in a multi-model future. The world won't have one single, giant model that everyone sends everything to—instead, there will be hundreds of foundation models and billions of agentic systems running on top of them. We believe this is not only a better future for AI, but a safer one as well. But for this to happen requires massive infrastructure shifts that can enable us to better leverage the strengths of diverse models in a constantly evolving landscape. We started Not Diamond to enable this multi-model future.

We’re offering a competitive salary, generous equity, and robust benefits. And while we think of this as an opportunity to build a generational company from the ground-up, we also guarantee an investment in your next startup if you ever decide to build something yourself in the future. Our team is guided by top-percentile ambition, constant learning, and a bias towards action, and our focus on execution is rooted in a dedication to emotional intelligence, high integrity, and the ability to work through healthy conflict. You can read some notes on our culture here.

What you will do

As a Member of Technical Staff, Data, you'll work closely with our founding team to define and execute our technical vision. You'll own the data platform our research and product functions run on, closing the loop between what users do and improvements to our evals, RL, and product work. We're looking for immensely thoughtful, voraciously curious contributors who have built from 0 to 1 and who go where the problem is, whether that's a pipeline, a product surface, or the underlying infrastructure.

In practice, that means:

• Build the pipelines and warehouse the whole company queries, from event schema through the reports that people actually trust
• Make it obvious which model or environment changes impacted product metrics
• Own instrumentation, dashboards, and experiments end to end
• Pick up application and infra work as needed

What you'll bring

• Deep experience with SQL, Python, and data engineering experience in 0-to-1 settings. You’ve built production grade pipelines and warehouses, including analytics, reporting, and dashboards that businesses depend on
• Breadth: you've shipped application code and infrastructure
• Enough AI/ML fluency to partner with evals and RL folks directly
• Excellent product judgment. You have loosely held strong opinions about strategic roadmaps

Compensation, benefits, and perks

• $195-265K base plus equity*
• San Francisco and New York office spaces
• Full remote friendly policy