About Noks.ai:
NOOKS is the ASAP sales platform that is automated by crowded business so that actors can focus on the human part to sell and generate more sales pipeline. NOOKS helped thousands of sales representatives hit the shares, and customers saved hundreds of thousands of hours, and operated hundreds of millions of dollars in the pipeline. NOOKS is loved by sales teams in companies such as Hubspot, ripples, roasted bread, and other hundreds.

For more information, please visit Noook.ai http://nooks.ai.

Today’s angles
Our customers use the corners for most of their day (AVG ~ 3hrs/working day). NOOKS currently has a workflow to one party on sales calls:

AI Dialer – Manual parts are automated from the communication process: skip the response machines to the response devices, leave the audio post, write down notes, recording calls, and even know what can be said in the call
Analyzes – we record, copy and analyze each call. Since all these calls issued with a little context, these calls follow a similar structure – the opening match, stadium, questions/objections, request a meeting, etc. So that we can answer questions such as: “Any representatives are struggling to book the meeting with prospects that showed interest” or “What are the most common objections across each of our main characters”
Salesfloor- Sales representatives and managers can work together throughout the day, listen to each other’s calls, and provide advice in actual time, training, shading, training, and training. We are working to add the process of excavation / search (which has been announced soon!)
Role
The required candidate must have a passion for innovation and sales driven by artificial intelligence. Your responsibilities will include:

Partnership with our founders and product engineering team to implement the delivery of new full stacks through the functioning of full sales
Create PRDS based on features of features, user interviews and version reports. You are constantly sympathizing with customers and checking again to make sure that we offer an intuitive value.
Owning the tactical work that occurs after charging new features, i.e. user’s research, teaching users, creating evidence, measuring/ensuring that we follow the appropriate product standards, etc.
Expanding the scope of new features from A to Z by translating business needs into technical solutions. You must have some thinking/design slices in design because this will require the creation of flows, wireless ends, preliminary models and high -resolution images of your features. You will participate closely with our amazing designer.
A major part of your business will require understanding of user frustrations/pleasures, testing these hypotheses and ultimately translating the user’s needs into experiments that depend on AI that increase, enhance and automate handicraft flows.
We have an ambitious product in an emerging area-actual time that works for Amnesty International-so there are many interesting technical challenges on our road map. Below is a non -comprehensive list of the types of problems that we are working on:

Distributed synchronization and systems

Our smart Dialer makes calls in parallel and manages the AI ​​model in an actual time on each call. There are some interesting synchronization problems in the synchronization of the situation between Twilio, our back back, the front end, and know what calls for contact, which to continue in the background, and when the next call begins.
AI and Precision/Arman/Contanceing Bonstiefs (algorithms and models)

We use sound data, copying, detection of silence, and many other signals to discover whether a live phone call is an audio mail, a person or a request tree. Here, cumin is a third factor added to the extent of the standard/summons, because it is important to be able to discover humans quickly. Our approach includes LLM, learning a little, data mode, and continuous monitoring of the form of the model in PROD.
Cumin (infrastructure)

If our model takes 5 seconds to discover a person on a phone call, then a person will be hanging. It is necessary that we can quickly discover them and our users can quickly implement calls. There is a transition time via the detection pipeline including copy models, audio models, websokets, twilio API, database transactions, etc.
Smart Call Plaanels & Playbooks (Data Cronanging, Backend Eng, GPT-3, UX)

At what point in the conversation, a representative stumbles? What are the most difficult questions that we need to address? Can I “program” the playing book to help my team the team unify the best practices? We use the GPT-3 and other LLM to convert not mostly structured call data into strategies.
MRKOV (ML MODENING) chat models and models

How does an autopsy look like? If Xyz said, what are the different ways that the possibility and the possibilities of each may answer? Conditioned in the first half of the call, what do I say next to the possibility of a pilot display reservation at the end of the call? Can we use LLM to generate conversations that we can use to collect similar conversation patterns and predict the whereabouts of the conversation?
integration

Dialer is integrated with customer sales sharing platforms. Each new platform we integrate, which opens a larger market for our products. When building integration operations, we need to make sure that they are strong, reliable and well equipped.
Perform the front end

There is a lot that happens in the front end – Webrtc, Twilio, React Rending, Websocks, etc., and people use angles throughout the working day, so we need to make sure our application performs through a wide range of devices
requirements
More than 3 years of previous professional experience via engineering and producer in a highly developed environment/entrepreneurship/technology, preferably in B2B Saas
-2 years of experience in the starting technology environment
Bachelor’s degree in computer science or engineering or a related quantitative field
-A busy record of shattering complex problems, setting a road map for the product and driving high -impact projects that drive the user or the growth of revenues
UX intuition with the ability to improve the UX wired frame and work closely with the designer
Communication and cooperation. You can think about different levels of abstraction, so your thoughts fall with your audience. Either for internal cooperation and external customer conversations.

It is good to have: previous experience at all and repetition of the products driven by artificial intelligence

We offer competitive compensation because we want to employ the best people and reward them for their contributions to our mission. We pay all employees competitively to the market. In compliance with the laws of paid transparency and the pursuit of wage and fairness, we publish salaries for our open roles. The target salary range for this role is $ 140,000 – $ 260,000. In addition to the basic salary, we also offer property rights, generous privileges and comprehensive benefits.

Equalization of job opportunities
NOOKS is the owner of equal opportunities committed to enhancing a varied and comprehensive workforce. We believe in providing equal employment opportunities for all individuals regardless of race, color, religion, sex, sexual identity, sexual inclination, national origin, age, disability, veteran position, or any other characteristic that is protected by law.

Noks is not distinguished in employment, promotion, compensation, or any other employment practices, and we are committed to guaranteeing a workplace free of discrimination, harassment and revenge. We encourage individuals from all backgrounds to apply and join our team.