What are the responsibilities and job description for the Chief of Staff & CEO Communications position at Ironclad Inc?
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.
About Nooks
- The team : Nooks is ~45 people. Engineering & product are mostly in SF and go to our office 2-3x / week. The go-to-market team is distributed across the U.S.
The founders (Dan, Rohan, and Nikhil) met studying AI at Stanford, have published in top AI journals, Forbes 30u30, and worked at Scale AI, Tesla Autopilot, etc.
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 / BDRs in the US alone (e.g., Airtable, Brex, Databricks, and many other tech companies have sizable SDR / BDR teams).
In their day-to-day, SDR / BDRs spend time on 3 main activities :
Most of the sales rep’s job can be automated with today’s technology : large language models, web scraping, automation, integrations, etc.
Nooks today
Our customers use Nooks for most of their day (avg ~3hrs / business day). Nooks currently owns end-to-end workflows around sales calls :
Teams that use Nooks often see a 2-3x increase in reps’ productivity within weeks! And we’re working on adding prospecting / research workflows (to-be-announced soon!).
The role
We have an ambitious product vision in a nascent area - AI-powered real-time 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 codebase, 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!
Our smart dialer places calls in parallel and runs a real-time AI model on each call. There are some interesting concurrency problems syncing state between Twilio, our backend, and the frontend, and knowing which calls to connect, which to continue in the background, and when to start the next call.
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. Here, latency is a third factor added to the standard precision / recall tradeoff because it’s important we can detect humans quickly. Our approach involves LLM embeddings, few-shot learning, data labeling, and continuous monitoring of model performance in production.
At what point in the conversation do my reps get stuck? What are the toughest questions that we need to address? Can I “program” a playbook so that Nooks will help my team standardize toward best practices? We’re using GPT-3 and other LLMs to turn companies’ mostly unstructured call data into actionable strategies & feedback loops.
Our dialer integrates with customers’ sales engagement platforms. Every new platform we integrate with opens up a larger market for our product. When building integrations, we need to make sure they’re robust, reliable, and well-abstracted.
There’s a lot going on in the frontend - WebRTC, Twilio, React rendering, websockets, etc. And people use Nooks throughout the workday, so we need to make sure our app is performant across a wide range of devices.
Requirements
Frontend : React, Typescript, MobX.
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 $160,000 - $240,000. On top of base salary, we also offer equity, generous perks, and comprehensive benefits.
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Salary : $160,000 - $240,000
