What is Nooks?

Nooks is a platform transforming sales reps from manual laborers to scientists. With today’s technology, sales reps shouldn’t need to manually write hundreds of emails, research hundreds of websites/LinkedIn, and make hundreds of calls. They should instead focus on the parts of their job that actually require people - talking to customers, being creative, and problem-solving. With a combination of AI tools, automation, and real-time collaboration, Nooks can do the rest.The problem

Sales pipeline is critical for growing companies. Many, especially B2B companies, have teams of sales/business development representatives (SDR/BDRs) or full-cycle account executives whose responsibility is to identify, contact, and qualify new potential customers. There are ~750,000 SDR/BDR’s in the US alone.In their day-to-day, SDR/BDRs spend time on 3 main activities:Prospecting & research

- identify a list of potential customers using signals like industry, size, fundraising, headcount growth, new hires, job descriptions, etc.

Email & LinkedIn messaging

- write messages to those contacts to convey the problem and pitch your product. The goal is for them to book a demo.

Calling

- Live phone conversations often have higher conversion than emails because they’re more personal, but there’s a lot more manual work involved.

The role

We have an ambitious product vision in a nascent area -

AI-powered realtime collaboration

- so there are a ton of interesting technical challenges on our roadmap. We’re hiring talented

full-stack/backend/ML engineers

who are product-minded and excited to delight our customers. We expect every software engineer on our team to be able to work within a complex code-base, own entire product areas, and build new features end-to-end.Examples of engineering problems we’re working on

These are just examples, this list is non-exhaustive, and you definitely don’t need experience in all of these areas. But hopefully, you find some of them exciting!Concurrency & distributed systems

- Our smart dialer places calls in parallel and runs a realtime AI model on each call.

Realtime audio AI & precision/recall/latency tradeoffs (algorithms & models)

- We use audio data, transcription, silence detection, and several other signals to detect whether a live phone call is a voicemail, a human, or a dial tree.

Latency (infrastructure)

- If our model took 5 seconds to detect a human on a phone call, the human would hang up. It’s imperative we can detect quickly and that our users can execute calls quickly.

Smart call funnels & playbooks (data wrangling, backend eng, GPT-3, UX)

- We’re using GPT-3 and other LLM’s to turn companies’ mostly unstructured call data into actionable strategies & feedback loops.

Conversation embeddings & markov models (ML modeling)

- Can we use LLM’s to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed?

Integrations

- Our dialer integrates with customers’ sales engagement platforms.

Frontend performance

- There’s a lot going on in the frontend - WebRTC, Twilio, React rendering, websockets, etc.

Requirements

3+ years of experience as a software engineer or in a related technical role.

Ability to work with our tech stack:Frontend: React, Typescript, MobX

Backend: Node.js, Express, Typescript

Technologies: Firebase, Firestore, Websockets, Twilio, WebRTC, Postgres, Redis

ML: GPT, Transformers, PyTorch, signal processing, few-shot classification.

2+ years experience building complex systems (ideally somewhat related to ours).

You’re a confident, independent, and experienced engineer who is used to extreme ownership and solving hard problems.

We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. The target salary range for this role is $120,000 - $200,000. On top of base salary, we also offer equity, generous perks, and comprehensive benefits.

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