Modal is looking for something that lacks a conventional title but could roughly be described as a "Cloud Quant", "GPU Trader", or "CFO that can code".

The background is that Modal spends millions of dollars every month on cloud costs, and there's a tremendous amount of opportunities to optimize these costs:

• Finding pockets of capacity at lower prices

• Improving GPU utilization

• Negotiating with vendors

• Integrating with new capacity providers

• Pricing optimizations, picking the right trade-off between growth and revenue

This is a role that mixes data science, software engineering, and trading. Besides what's mentioned above, the job will also entail things like:

• Pulling data from various cloud APIs and analyzing data

• Downloading large datasets of dollar spend and analyze those

• Working with software engineers at Modal to roll out optimizations to how we manage our large GPU fleet

We think the ideal candidate has a mix of skills. In particular, we expect you:

• Have several years of Python and SQL experience

• Have done a fair bit of data science, data visualization, and some statistics

• Have some experience working with cloud vendors (AWS etc)

• Love thinking about how to optimize stuff, especially the bottom line

• Don't mind occasionally getting on the phone with vendors and negotiate big contracts

• Love thinking about businesses as big complex systems

• Want to work out of our HQ in NYC (or for exceptional candidates, in SF)

• Love telling stories about how they made their previous company lots of money

This role will report directly to the CEO. You will be working with amazing coworkers, including open source contributors, competitive programming winners, and people who are generally fun and cool.