theswan

Apply/more info at https://www.samsara.com/jobs

Our docs are a bit spare at the moment, but this means with code like:

  type User struct {
    Id int64
    Name string
  }

  func rootUser(ctx context.Context, args struct { id int64 }) (*User, error) {
    // ...
  }

  schemaRoot.FieldFunc("user", rootUser);

[0] You can see the batching implementation here: https://github.com/samsarahq/thunder/blob/master/batch/batch...

Clara is building the simplest possible interface to getting work done. Every person on our team is involved in the thinking that creates their work - full stack in the broadest sense of the term. This means identifying, owning, and driving projects to completion.

We believe shipping early and frequently builds better products. An extreme example: we scheduled thousands of meetings entirely manually for our first Clara customers before building any software at all.

Accepting human dependency is the fastest way to building useful machine intelligence. The failure of intelligence products to date has fundamentally been a failure to build trust. It is the consequence of unreliability and lack of focus (think: Siri). Conversely, Clara has delivered a highly reliable, focused, and useful natural language interface from day one.

We’re looking for frontend, backend, and machine learning engineers to join our early team. Check out our full descriptions for each role [1], and feel free to ping me directly at [email protected] if you have any questions!

[1] https://jobs.lever.co/claralabs/

Clara is building the simplest possible interface to getting work done.

Every person on our team is involved in the thinking that creates their work - full stack in the broadest sense of the term. This means identifying, owning, and driving projects to completion.

We believe shipping early and frequently builds better products. An extreme example: we scheduled thousands of meetings entirely manually for our first Clara customers before building any software at all.

Accepting human dependency is the fastest way to building useful machine intelligence. The failure of intelligence products to date has fundamentally been a failure to build trust due to unreliability and lack of focus (think: Siri). Conversely, Clara has delivered a highly reliable, focused, and useful natural language interface from day one.

We’re looking for frontend, backend, and machine learning engineers to join our early team. Check out our full descriptions for each role [1], and feel free to ping me directly at [email protected] if you have any questions!

[1] https://jobs.lever.co/claralabs/

Clara is building the simplest possible interface to getting work done.

Every person on our team is involved in the thinking that creates their work - full stack in the broadest sense of the term. This means identifying, owning, and driving projects to completion.

We believe shipping early and frequently builds better products. An extreme example: we scheduled thousands of meetings entirely manually for our first Clara customers before building any software at all.

Accepting human dependency is the fastest way to building useful machine intelligence. The failure of intelligence products to date has fundamentally been a failure to build trust. It is the consequence of unreliability and lack of focus (think: Siri). Conversely, Clara has delivered a highly reliable, focused, and useful natural language interface from day one.

We’re looking for frontend, backend, and machine learning engineers to join our early team. Check out our full descriptions for each role [1], and feel free to ping me directly at [email protected] if you have any questions!

[1] https://jobs.lever.co/claralabs/

https://github.com/search?p=4&q=extension%3A.key+BEGIN+RSA+P...