Product Manager, Nooks
$140-240k
+ Equity
AI-powered parallel dialer & virtual salesfloor
Open for applications
AI-powered parallel dialer & virtual salesfloor
21-100 employees
Open for applications
$140-240k
+ Equity
21-100 employees
Company mission
To automate this grunt work so salespeople can focus on the human parts of the job.
Role
Who you are
- 3+ years of prior professional experience across engineering and product in a hyper-growth/entrepreneurial/tech environment, preferably in B2B SaaS
- Minimum 2 years of experience in a tech startup environment
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field
- A proven track record of breaking down complicated problems, setting a product roadmap and leading high-impact projects that drive user or revenue growth
- Strong UX intuitions with the ability to wireframe improved UX flows and to work closely with a designer
- Excellent communication & collaboration. You’re able to consider different levels of abstraction so your ideas land with your audience. Both for internal collaboration and external customer conversations
- Nice to have: prior experience launching and iterating on AI-driven products
What the job involves
- Partnering with our founders and product engineering team to execute on the delivery of new full stack features across the full sales workflow
- Creating PRDs based on feature requests, user interviews, and issue reports
- You’re constantly empathizing with customers and checking back in to make sure we're delivering intuitive value
- Owning the tactical work that happens after we ship new features i.e. user research, teaching users, creation of guides, measuring/ensuring we're tracking the right product metrics etc
- Scaling new features from the ground-up by translating commercial business needs into technical solutions
- You should have some design thinking/design chops as this will entail creating flows, wireframes, prototypes, and high-fidelity visuals for your features
- You’ll partner closely with our amazing designer
- A key part of your work will entail understanding user frustrations/pleasures, testing those hypotheses and ultimately translating user needs into AI-driven experiences that augment, enhance and automate manual workflows
- 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
- Here is a non-exhaustive list of the types of problems we’re working on:
- Concurrency & distributed systems
- Our smart dialer places calls in parallel and runs a realtime 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
- 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
- Latency (infrastructure)
- If our model took 5 seconds to detect a human on a phone call, the human would hang up
- It’s imperative we can detect quickly and that our users can execute calls quickly. There’s latency across the detection pipeline including transcription models, audio models, websockets, Twilio API, database transactions, etc
- 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 LLM’s 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 LLM’s to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed?
- Integrations
- Our dialer integrates with customers’ sales engagement platforms
- Every new platform we integrate with, that opens up a larger market for our product
- When building integrations, we need to make sure they’re robust, reliable, and well-abstracted
- Frontend performance
- 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
Our take
For many businesses, the rise in hybrid and remote working has lessened team building and collaboration within their teams. Nooks was founded in 2020, initially as a virtual space for sales teams to collaborate and work in real-time, and to feel like they're working in the same room as their colleagues.
Nooks evolved from that social workflow premise and developed an AI dialer to automate manual tasks for sales teams. It also has a "Call Analytics" tool for sales teams to transcribe, analyse and improve upon their calls. Meanwhile, its virtual salesfloor still makes collaborating, team building and training easier for virtual teams.
While Nooks is up against large workflow management platforms such as Slack, its tight focus on sales teams lets it stand out. This speciality has led to several rounds of funding for Nooks, the latest of which is being channelled into expanding operations and business reach.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Oct 2024
$43m
SERIES B
Apr 2024
$22m
SERIES A
Total funding: $70m
Company values
- Earn customer love - Nooks should be the tool our customers love the most. We earn customer love with every interaction, every detail, and every customer problem we solve
- Extreme ownership - We can all drive outcomes and enact change. We take responsibility, step out of our comfort zone, overcome obstacles, and do the hard work to deliver results
- Do more with less - Speed, efficiency, and ruthless prioritization are our competitive advantages. We ship & iterate quickly while wearing multiple hats. We can do anything, but not everything
- Ask why - Deeply understand customer problems. Question assumptions. We expect that others will ask “why” so we back up decisions with clear reasoning
- Energize & support the team - Energy is contagious. We aim to electrify everyone around us with our positivity & passion. We lead by example - no job is beneath us. We succeed as a team
- Be a good person - We want to work with high integrity people. Good things happen to good people. Be kind, humble, honest, ethical, and trustworthy. Act with empathy and choose ‘right’ over ‘easy’
Company HQ
Polk Gulch, San Francisco, CA
Leadership
Rohan Suri
(Sales Leader)Previously a Software Engineering Intern at Forethought, and ML Engineer Intern at Cerebras Systems. Was also a Machine Learning Researcher at Stanford Artificial Intelligence Laboratory and a Cybersecurity Intern at Visa.
Nikhil Cheerla
(CTO)Previously an ML Engineer at Tesla. Was also a Vision Lab Research Intern at Stanford University, and Engineering Intern at Lyft and Quora.
Dan L
(CEO)Previously a Machine Learning Engineer at Scale AI. Worked in Quantitative Strategies at IEX Group and ML Research at Cerebras Systems.
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