Weave (YC W25) is building the definitive platform for understanding and improving how engineering teams work. We believe the way engineering output is measured today is fundamentally broken and that modern AI can give teams a far more accurate and actionable view of productivity, impact and collaboration.

Trusted by 200+ customers such as Robinhood, Rho, PostHog and Browserbase, we’ve delivered consistent double-digit month-over-month revenue growth since May and are looking to accelerate our growth.

As Weave’s Founding ML Engineer, your job is to build ML systems to understand and improve the work that software engineers do. You’ll be building our processes and standards as you go to make building every incremental feature and subsequent model easier. Your goal will be to delight customers with intelligence that makes their job 10x easier.

We’ve raised a $4.2M seed round and are backed by Moonfire, Burst capital and Y Combinator (W25).

This is a rare opportunity to join at the ground floor and shape how millions of engineers and leaders understand engineering work.

What We’re Building

Weave is rethinking engineering output from first principles.

We use AI to:

• Understand how engineers actually work (not just what they ship)

• Surface meaningful insights about productivity, quality, collaboration and impact

• Help teams improve outcomes without vanity metrics or surveillance

Our goal is not to optimize for “more output,” but for better engineering.

The Team You’ll Work With

You’ll work directly with:

• Andrew (CTO) – previously a founding engineer at Causal, MIT alum. Andrew has been in your shoes and is deeply committed to providing the mentorship, ownership and growth he had as an early engineer.

• Adam (CEO) – leads sales and customer discovery. Adam is a former sales executive at multiple high-growth startups and deeply embedded with customers and scaled multiple sales teams from $0-30M in ARR.

This is a small, intense, highly collaborative team. You will have real ownership from day one.

Must haves

You are a good fit for Weave if you are a formidable engineer. This means you stop at nothing to accomplish your goal. We don't care much about your current skills or even what you've done before; we care that you will be able to do anything you set your mind to.

You must also be pragmatic. Weave is a startup so something is always on fire. You need to know when to let little fires burn and when to break out the extinguisher.

You must have experience with shipping ML systems to production, end to end. From selecting an appropriate data set, to feature engineering, to model design, to deployment & iteration.

You must be a very good engineer who's committed to becoming a great engineer. The slope is more important than the Y-intercept.

You must be empathetic. We're building products for other people, so you need to be able to understand how other people think and why.

You must care about helping other software engineering teams be great. If that's not an exciting mission for you, it will be hard to stay motivated through the inevitable highs and lows.

You must be an excellent communicator. You'll be working on a product that's communicating with millions of engineers and leaders, so you need to be clear.

Finally you must be gritty. You should be accustomed to picking the hard option and pushing through it.

This role is 5 days in office in SF

Nice to haves

(Please feel free to apply even if some or all of these don't apply to you!)

Our tech stack is React + TypeScript on the frontend, Go on the backend, and Python for ML. Experience with any of those three languages is a bonus.

If you've already done lots of thinking about engineering productivity and how to improve it, that's great and we want to hear about it!

Why Join

• Competitive pay + early equity

• Health/vision/dental insurance covered

• Free lunch/dinners/snacks

• Yearly team offsite with regular team events

• Yearly $500 learning/development stipend

• Get to work in SF with one of the fastest moving teams (95%+ percentile code output)

About the interview

1. 15-minute intro call

2. Take home assessment

3. One-hour technical interview with our CTO, Andrew

4. One-hour technical interview with our CTO, Andrew