Imagine the future of work:
Recent advances in large language models and the pandemic-induced shift to remote/distributed work suggest this future is not-so-distant. With all your work happening online instead of in-person, it’s now possible to systematically turn this vast quantity of unstructured data into actionable strategies and feedback loops. We’re making this a reality, starting with sales teams.
Nooks is a smart virtual salesfloor that multiplies reps productivity by bringing realtime collaboration and AI tooling to the team’s sales calls.
A sales team with a dozen reps does hundreds of customer-facing calls every day. They’re all selling the same product, with the same pitch, to the same personas, answering the same questions - and they learn something new from each conversation. If this information stays siloed, reps will improve slowly. But if learnings are shared across the team, improvements compound. The best reps actually have 3x higher conversion rates on sales conversations compared to their teammates! So tight feedback loops can make a sales team significantly more effective. But today, most sales reps are siloed working at home and the main opportunities they have for feedback are weekly 1:1’s and team training sessions. These methods are old-school, infrequent, and ineffective - feedback loops are effectively nonexistent today.
Teams use Nooks to work together throughout the day - our smart dialer automates the manual process of calling and our salesfloor facilitates realtime collaboration on calls. Nooks analyzes the team’s conversations to understand the winning playbooks, then helps replicate these across the team.
Teams that use Nooks often see a 2-3x increase in reps’ productivity within weeks! 📈
Check out an interactive demo of our product here
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 our first Machine Learning Engineer. This is a role focused on implementing ML features into Nooks. Our ideal candidate will have prior experience working in industry for a business where ML is a core part of the offering.
Responsibilities will include training production models to improve their accuracy for specific sales use cases. You will align our technical strategy with performance, cost and feasibility considerations.
Nice to haves:
We’re growing super quickly (doubling revenue every quarter, currently ~$2MM ARR) and we have 50-100 customers who rely on Nooks for their daily workflow/collaboration. We can attribute a lot of this success to the fact that our product can demonstrate a TON of value within a short amount of time. Within a 2-week trial period, we often 2-3x reps’ productivity (measured by the amount of new sales pipeline reps can generate). This led to a 50% trial conversion rate to paid customers last quarter!
We’re a lean team ~25 people with most in the San Francisco Bay Area, but the rest spread across the world in places like New York, Seattle, Spain, Estonia, Costa Rica. We’ve raised ~$20M from top-tier angel investors and VC’s, and who’ve built/invested in world-class companies like Twitch, Twitter, Lyft, Scale AI, and Outreach. We’re all super passionate about building the future of work, and we’d love for you to join our journey 🚀
We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to market. In compliance with pay transparency laws and in pursuit of pay equity and fairness, we publish salary ranges for our open roles. 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.