Strategy

About Chai Discovery

Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.

AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly , Pfizer , and Novartis are adopting our platform to power their drug discovery programs.

We value diverse perspectives and are ready to find greatness in unexpected places.

About the role

We are building a strategy team to take on the hardest open questions about our business and turn them into decisions we act on.

Chai's business model has no real precedent. We sell a new kind of technology into a very large market, in an era where few people can say with confidence where things are headed. The questions are hard and the answers consequential: how we price, which segments and products we expand into, abd what makes our position durable, and so on. Over time, you'll embed with teams on whatever the biggest bottleneck is, whether that's scaling lab capacity, buying versus building compute, or planning a data generation effort

The work runs from framing to implementation. You'll scope a problem, run primary research with customers and outside experts, build the quantitative case, reach a conclusion, and see it through. A project isn't done when the memo is written. It's done when the decision is made and in place.

About you

You are a structured, quantitative thinker with good instincts. You produce conclusions, not just inputs. You know how to influence, pushing decisions across teams until they land.

You are comfortable making justified assumptions with incomplete information, and disciplined about revisiting them. You know which threads to pull on an expert call. You have a nose for connecting dots, extracting signal, and folding new data points into the larger picture.

You likely trained in management consulting, venture or growth investing, or quantitative research, and may have moved into strategy or special projects at a high-growth technology company. Data science or CS experience is a plus. Biotech or pharma experience isn't required—range across industries and situations is valuable, as is the ability to learn a technical domain quickly.

We offer

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.