Nooks
San Francisco, California
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/LinkedIns, 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/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: 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. Much of the sales rep's job can be automated with today's technology: large language models, web scraping, automation, integrations, and more! The role Note: Exact job title will be commensurate with experience. 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. 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. Examples of engineering problems you may touch 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! 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. 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 prod. Smart call funnels & playbooks (data wrangling, backend eng, GPT 3, UX) 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. Conversation embeddings & markov models (ML modeling) What does the anatomy of a call look like? If I say XYZ, what are the different ways the prospect might answer and the probabilities of each? Conditioned on the first half of the call, what do I say next to maximize the likelihood that I book a demo at the end of the call? Can we use LLMs to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed? Requirements Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. 3+ years of industry experience, including 2+ years training and deploying ML models in production. Full stack ML Eng chops: proficiency in general purpose programming languages such as Python/JavaScript, and with libraries like TensorFlow, PyTorch, Keras, scikit learn, etc. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models. Nice to haves Background in an analytical field like heuristics, data science &/or statistics. Prior experiences working in both startup and research environments. 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 $140,000 - $240,000. On top of base salary, we also offer equity, generous perks and comprehensive benefits.
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/LinkedIns, 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/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: 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. Much of the sales rep's job can be automated with today's technology: large language models, web scraping, automation, integrations, and more! The role Note: Exact job title will be commensurate with experience. 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. 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. Examples of engineering problems you may touch 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! 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. 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 prod. Smart call funnels & playbooks (data wrangling, backend eng, GPT 3, UX) 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. Conversation embeddings & markov models (ML modeling) What does the anatomy of a call look like? If I say XYZ, what are the different ways the prospect might answer and the probabilities of each? Conditioned on the first half of the call, what do I say next to maximize the likelihood that I book a demo at the end of the call? Can we use LLMs to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed? Requirements Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. 3+ years of industry experience, including 2+ years training and deploying ML models in production. Full stack ML Eng chops: proficiency in general purpose programming languages such as Python/JavaScript, and with libraries like TensorFlow, PyTorch, Keras, scikit learn, etc. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models. Nice to haves Background in an analytical field like heuristics, data science &/or statistics. Prior experiences working in both startup and research environments. 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 $140,000 - $240,000. On top of base salary, we also offer equity, generous perks and comprehensive benefits.
Nooks
San Francisco, California
Overview Staff Software Engineer, Product role at Nooks. About Nooks.ai: Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai. About The Role We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you ll work closely with the engineering leadership team to shape technical and product vision. If you re passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you. What You'll Do Build and maintain scalable, high-performance applications across the full stack Lead the design and implementation of new features in our core platform Collaborate closely with product, design, and other engineering teams to deliver impactful solutions Architect and develop front-end components using React and TypeScript Work on back-end services and APIs with Node.js and Python Mentor and guide junior engineers in best practices, coding standards, and architectural principles Own the end-to-end delivery of features, from ideation to production Continuously improve the performance, scalability, and reliability of our applications Contribute to the company's technical roadmap, setting standards for code quality and development processes Help define and evolve the team's engineering culture We're Looking For Someone Who Has At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and Python Proven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineers Demonstrated ability to thrive in fast-paced and high-growth environments Ability to work in the San Francisco office 3+ days per week Strong communication skills and the ability to work effectively in a team-oriented environment Past experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250K - $325K annually. Dont meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. Equal Employment Opportunity Statement Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Nooks by 2x Get notified about new Staff Software Engineer jobs in San Francisco, CA .
Overview Staff Software Engineer, Product role at Nooks. About Nooks.ai: Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai. About The Role We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you ll work closely with the engineering leadership team to shape technical and product vision. If you re passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you. What You'll Do Build and maintain scalable, high-performance applications across the full stack Lead the design and implementation of new features in our core platform Collaborate closely with product, design, and other engineering teams to deliver impactful solutions Architect and develop front-end components using React and TypeScript Work on back-end services and APIs with Node.js and Python Mentor and guide junior engineers in best practices, coding standards, and architectural principles Own the end-to-end delivery of features, from ideation to production Continuously improve the performance, scalability, and reliability of our applications Contribute to the company's technical roadmap, setting standards for code quality and development processes Help define and evolve the team's engineering culture We're Looking For Someone Who Has At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and Python Proven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineers Demonstrated ability to thrive in fast-paced and high-growth environments Ability to work in the San Francisco office 3+ days per week Strong communication skills and the ability to work effectively in a team-oriented environment Past experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250K - $325K annually. Dont meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. Equal Employment Opportunity Statement Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Nooks by 2x Get notified about new Staff Software Engineer jobs in San Francisco, CA .