The Company

We’re taking the best parts of in-person team collaboration, and making them even better in the remote-first world. We’re starting by building a unique real-time collaboration layer for remote sales teams. On our virtual sales floor, sales representatives can work together while prospecting, emailing and calling customers.

Teams like Gong, Modern Health, and Robin are using Nooks to recreate the in-office experience during daily co-working sessions.

It’s helped them:

  1. on average, book 60% more meetings 🗓️
  2. retain 30% more reps AND managers 🪴
  3. reach activity numbers to hit quota 💥

The pandemic made sales lonely. Help us make it a team sport again!

Why ML?

Sales reps spend their day scouting for prospects & making hundreds of personalized emails, videos and cold calls. Nooks tries to inject collaboration into their workday — but only when it matters.

We want reps to listen to each other’s cold calls — but only when they’re talking to a qualified client, not when they’re hitting an answering machine or dial tree for the 20th time.

We want reps to collaborate on the high-level talking points they use in emails — but without having to review every single email their colleagues send out.

That’s where the Nooks Data Engine comes into play. We use speech recognition, NLP, and active learning to intelligently surface portions of calls and emails that others should pay attention to. Most importantly, we do this real-time, making collaboration and learning effortless.

Role Responsibilities

As part of the team, you will be working with an exceptional group of skilled software engineers and ML / data scientists. You will own problems end-to-end, and use your knowledge and creativity to solve them using data. The code you write will impact remote sales teams and enable them to work faster and more efficiently.

You'll also contribute to brainstorming sessions on ML projects, and work with the Product team to shape Nooks’s future features and product roadmap.


  • Deep subject matter expertise in machine learning, especially in NLP and speech recognition
  • 2+ years of experience working with data at scale or deploying ML models in production environments
  • Good communication skills, including an ability to articulately convey the benefits and drawbacks of various approaches
  • Experience with deep learning frameworks: Pytorch or Tensorflow
  • Ability to articulate design and implementation details to find the best solution
  • Ability to iterate quickly on ideas
  • Focus on delivering results in an environment with important deadlines and multiple priorities

Bonus if you have ...

  • Previously published research papers in machine learning or artificial intelligence
  • Set up cloud infrastructure for data pipelines or production models in AWS, GCP, or Azure
  • A GitHub profile or personal website showcasing previous projects and experiences


  • Remote or San Francisco

Know someone that would be the perfect fit for these role? Refer someone we hire and get a $2k referral bonus.

About Nooks

We're an early-stage startup with 10+ team members and experience from Stanford, Berkeley, Facebook, Google, Amazon, McKinsey, Tesla Autopilot, and Scale AI. We're well-funded with $5M from top-tier investors.

We have an HQ in San Francisco, but our team is spread across the world from Argentina to Estonia. We use Nooks ourselves internally to build a strong remote-first culture and we’d love for you to join us on our journey!