Join Nooks: Transforming Sales Reps with Cutting-Edge AI

Nooks is revolutionizing the sales industry by transforming sales representatives from manual laborers into savvy scientists. Using advanced AI tools, automation, and real-time collaboration, we eliminate the need for manual tasks like writing hundreds of emails, conducting extensive online research, and making numerous calls. Instead, we empower sales reps to focus on what's truly important: engaging with customers, being creative, and solving problems.

About Nooks

Nooks is a team of approximately 45 individuals dedicated to changing the sales landscape. Our engineering and product teams are primarily based in San Francisco, with a hybrid work model that includes office visits 2-3 times a week. Our go-to-market team is distributed across the United States. The founders—Dan, Rohan, and Nikhil—met while studying AI at Stanford, and have been featured in top AI journals, Forbes 30 Under 30, and have experience at notable companies like Scale AI and Tesla Autopilot.

Our engineering team boasts award-winning talent with international math and physics Olympiad winners, as well as experience at tech giants like Google, Facebook, and Slack. Our sales team comprises top-performers from companies such as Gong, Amplitude, LeadIQ, and Orum. We have achieved significant growth, going from $0 to ~$4M ARR in 20 months, and we aim to triple this by the end of 2024.

The Problem We're Solving

Sales pipelines are vital for growing companies, especially B2B organizations, which often rely on sales/business development representatives (SDR/BDRs) or full-cycle account executives to identify, contact, and qualify potential customers. There are approximately 750,000 SDR/BDRs in the US alone, working for companies like Airtable, Brex, and Databricks.

In their daily activities, SDR/BDRs engage in three main tasks:

• Prospecting & Research: Identifying potential customers using various signals such as industry, size, fundraising, and job descriptions.
• Email & LinkedIn Messaging: Crafting messages to convey the problem and pitch the product, aiming to book a demo.
• Calling: Live phone conversations that, while more personal, involve a lot of manual work.

With today's technology, most of these tasks can be automated using large language models, web scraping, automation, and integrations.

Nooks Today

Our platform is a daily essential for our customers, who spend an average of three hours per business day using Nooks. Our end-to-end workflows streamline sales calls with features like:

• AI Dialer: Automates manual calling processes, including skipping answering machines, leaving voicemails, taking notes, and logging calls.
• Analytics: Records, transcribes, and analyzes calls to provide actionable insights and identify patterns of success or failure.
• Salesfloor: Facilitates real-time collaboration between sales reps and managers, enabling shadowing, coaching, and training.

Teams utilizing Nooks often see a 2-3x increase in productivity within weeks. We are also expanding our offerings to include prospecting and research workflows, which will be announced soon.

The Role

We are seeking talented full-stack/backend/ML engineers who are product-minded and eager to tackle our ambitious AI-powered real-time collaboration goals. Each software engineer on our team is expected to navigate complex codebases, manage entire product areas, and develop new features end-to-end.

Engineering Challenges We’re Tackling

Some of the technical challenges we are currently addressing include:

• Concurrency & Distributed Systems: Managing state synchronization between Twilio, our backend, and the frontend.
• Realtime Audio AI & Tradeoffs: Detecting live phone call statuses such as voicemail, human, or dial tree with minimal latency.
• Latency (Infrastructure): Ensuring quick detection and call execution across various pipeline components.
• Smart Call Funnels & Playbooks: Turning unstructured call data into actionable strategies using GPT-3 and other LLMs.
• Conversation Embeddings & Markov Models: Predicting conversation outcomes and clustering similar conversation