Extend is building the next generation document processing cloud. We're enabling ambitious technical &amp; product teams to turn their messy documents into a competitive advantage.Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Co-Founder & CTO

Extend

As a Founding Product Engineer at Extend, you’ll be responsible for the development and refinement of our current data extraction product, as well as new products that will be crucial in automating enterprise workflows.

We believe that every business action can be enhanced through intelligent automation. Our versatile and intuitive AI tools are designed to fully equip enterprises, freeing team members from manual, mundane tasks, and unlocking opportunities for more engaging, fulfilling work.

At Extend, we want to transform the way work is done entirely — by allowing our customers to design, outline, and perfect their business processes with just a few clicks.

Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and driven towards the mission as we are.

Founding Product Engineer

We're unfortunately not able to sponsor visas at this time!

We’re building an in-person culture and work from the Financial District in San Francisco (a 5-min walk from the Montgomery St. BART). We expect people to be in at least 3-4 days a week but we're flexible since things come up.

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build complex apps that power our general artificial intelligence for capital allocation, in close collaboration with our deep learning team.

We are looking for engineers who want to build highly-scalable infrastructure to enable previously impossible machine learning results.

co-founder & CEO

Full-Stack Product Engineer

Visa sponsorship available to exceptional candidates that don't have work rights in the US

Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility.

Large language models are unlocking new possibilities for software of all kinds – including data analytics. At Hex, we were early to incorporate [powerful AI features](https://hex.tech/product/magic-ai/) into our product, unlocking LLM-powered workflows for thousands of users.



We’re looking for an exceptional engineering leader to level up the execution of our AI team across the stack – from partnering with research to identify the most important experiments to architecting scalable backends to shipping delightful features. This person must successfully align a team of world-class subject matter experts and drive them toward success around a unified outcome that accelerates Hex’s product strategy over the next several years.

AI Product Engineering Lead

URL:https://hex.tech/careers/ai-product-engineering-lead/
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We're hiring: come build with us
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Hex Spring Release May 29th, mark your calendars
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Introducing Reviews: a better way to work together on data projects
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Data is better with a little magic: New updates to Hex’s AI tools for data analysis
🙋‍♀️
We're hiring: come build with us
🌻
Hex Spring Release May 29th, mark your calendars
❄️
Come see us at Snowflake Summit
✅
Introducing Reviews: a better way to work together on data projects
🪄
Data is better with a little magic: New updates to Hex’s AI tools for data analysis
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AI Product Engineering Lead
San Francisco
About Hex

Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility.

We are a tight-knit crew of engineers, designers, and data aficionados. Our roadmap is full of big ideas and little details, and we would love your help bringing them to life.

Hex has raised over $100m from great VCs and angels, giving us many years of runway and the ability to pay competitive salaries, offer great benefits, and provide meaningful equity.

Watch a demo of Hex on our homepage, read more on our blog, or check out our handbook for a better sense of what it's like to work here.

About the role

Large language models are unlocking new possibilities for software of all kinds – including data analytics. At Hex, we were early to incorporate powerful AI features into our product, unlocking LLM-powered workflows for thousands of users.

We’re looking for an exceptional engineering leader to level up the execution of our AI team across the stack – from partnering with research to identify the most important experiments to architecting scalable backends to shipping delightful features. This person must successfully align a team of world-class subject matter experts and drive them toward success around a unified outcome that accelerates Hex’s product strategy over the next several years.

On any given day you might find yourself:

Leading the team to deliver an industry-leading AI-assisted experience for data analytics workflows.
Developing and executing on a technical strategy for optimizing current technology in partnership with SMEs (e.g. using multiple models or deploying to different architectures) and for quickly incorporating new advancements as they arise.
Cultivating a high-output, high-vision team culture on one of the most important teams at the company.
Engaging with the AI community to maintain and extend Hex’s thought leadership and marketing presence.
Working with EPD leadership to develop future phases of AI product strategy within Hex.

This is a full-time role based out of our San Francisco office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.

About you!
At least 8+ years of engineering experience, with at least 4+ in a management capacity
Strong focus on execution, with a track record of shipping complex, full-stack projects with multiple stakeholders within the context of a top-tier EPD organization.
Technical chops and desire to go deep with LLM and related technology – must be able to appropriately “nerd out,” not just in the weeds of the implementation but also in envisioning the possibilities of the future.
Strong product intuitions, particularly about users, workflows and prioritization.
Background working with research projects and understanding how to evaluate and measure their success.
Must be hands-on, e.g. reading RFCs or giving feedback on the designs, joining customer calls, and using the product frequently.
Clear, proactive communication, particularly with less technical stakeholders. This includes not just what is being built but when and why.
Inspiring and compassionate people management to lead the team to great achievements while helping them navigate the stress of working with cutting-edge technology in a rapidly changing environment.
Talent magnet: experience hiring incredible individuals with the connections in the industry to attract & sell that talent on Hex.
Familiarity with modern data technologies and the trends within the industry.
Our stack

Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.

Monterey is a smart end-to-end product lifecycle management platform. You can also call it copilot for product development.

Monterey is bringing AI to every product development touchpoint for the product, engineering, and design teams. We first provide a better lifecycle management tool to alleviate the pain of alignment. We then collect data on every step of the product development process and use proprietary prompts to give back recommendations on approaches, dependency, and design.

Our vision for Monterey is to bring AI to every product development touchpoint for the product, engineering, and design teams, and become the go-to product development platform for every software company.

Monterey AI (YC S22)

🐳 Monterey is building the co-pilot for product development. We do this by replacing documents with smart use-case-centric workflows that help you strategize, measure, and align.

We’re looking for a founding machine learning engineer to join us to build the engineering foundations of Monterey. TL;DR: A ML expert who builds scalable solutions empowering product teams.

Founding ML Product Engineer

open to remote candidates with a strong preference towards those in the US. can't sponsor visas

Full-stack engineer with career growth, STEM degree, SF Bay/NYC. Must know React, frontend/backend, B2B SaaS. No job hoppers. Hybrid work, no visa sponsorship. Build reliable web-apps with autonomy, collaborate with Product/Design. Salary: $120K-$230K. Join a high-growth startup. Avoid Mixpanel candidates.

Pocus exists to supercharge GTM teams. We make every rep a 10x seller. With Pocus, organizations can have fewer, better reps to drive increased pipeline and revenue.How? We’ve created the world’s most powerful, AI-native prospecting platform.Pocus influences nearly half a billion in pipeline per quarter for our customers. We’re trusted by high growth companies like Asana, Monday, Canva, and Miro where Pocus powers up to 50% of their pipeline and eliminates 10+ hrs of work per rep per week.Pocus has hundreds of always-on AI agents doing the manual, tedious work of researching &amp; prospecting so that reps can do what they do best: sell. With Pocus AI agents working for them, rep’s days are simplified. Reps get alerts when compelling events happen, account plans are generated by AI, and agents recommend who to reach out to with the next best action.

Head of Engineering

Pocus

Pocus is a powerful, flexible, and easy to use web application that thousands of users use daily to make critical revenue impacting decisions. The product engineering team is responsible for continually improving and delivering value to our end-users while maintaining a high bar on quality and polish. Full-stack engineers have the freedom to work across the stack — from building snappy user experiences in the frontend, to building powerful APIs that interact with our data platform. We encourage ownership and autonomy and in this role you will work cross-functionally with our Product and Design functions to build products that solve real customer problems.

Software Engineer, Product

URL:https://www.pocus.com/careers?ashby_jid=0596b442-62cb-4d04-85af-bed44ea40b3d
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Building products and community to power the future of go-to-market
We’re on a mission to build technology that transforms how go-to-market teams use data to drive revenue.
View Open Roles
Go-to-market strategies have changed so why haven’t our tools?
Our north star is to bring the power of data to non-technical teams (sales, marketing, customer success and beyond) at every type of company.

Join us on our mission to transform the way go-to-market teams work. You'll make a meaningful impact on our customers daily lives and their businesses.
Why Pocus
Drive innovation
Work on building innovative technology in a fast-growing new category
Create your own path
Grow your career at an accelerated pace and have the autonomy to work on projects that you love
Have fun
Join a team that works hard, but doesn’t take themselves too seriously
Join the Product-Led Sales Movement
Help us build both the category and platform for Product-Led Sales. 
Refer a friend! – Know somebody who would be a good fit? We offer a $2,500 referral bonus.
Our Values
Customer obsessed
Our true north is adding value to our customers through our product, team, and category expertise. We are hyper-focused on how our work impacts customers daily lives and strive to always create delightful experiences.
Growth mindset
We value learning from others - our teammates, customers, and community. We know that we grow and win as a team. One person’s success is everyone’s success.
Humble overachievers
We pride ourselves on building a best-in-class product, company, and team. We’re very good at what we do, but we don’t carry big egos.
Fast (but thoughtful)
We act with a sense of urgency. We value short cycle times over perfectionism. We honor our mistakes because they help us grow.
Inclusive
We believe everyone should be seen, heard, valued, and empowered to succeed. Diverse perspectives fuel innovation and deepen connections.
We 💜 our #fun-pets
Perks
Health Insurance
We offer competitive medical, dental, vision insurance for employees and dependents.
Unlimited Vacation 
We offer unlimited paid vacation and require you take at least two weeks off (we work hard, but don’t want you to burn out)!
Retirement Savings
Easy contributions to your 401K.
Parental Leave
We offer paid parental leave to spend quality time with your new additions.
Wellness Stipend
Taking care of your mental and physical health means you show up to work as your best self. We offer a monthly stipend and you choose what to invest in - gym membership, counselor, or chiropractor. You decide.
Company Offsites
Although we’re remote we truly believe that every team needs in person time to collaborate.
Surprise Perks
Whether it’s a stipend for a home office set up or the occasional meal on Pocus, we’re always looking for ways to say thank you to our amazing team.
Don't see an open role?

Introduce yourself anyway by sending us a resume.

Apply here
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We're not able to sponsor visas at this time and are also not open to anyone on OPT or other temporary status

Software Product Engineer in SF (FiDi), hybrid. Work with React, Node.js, Typescript, Firebase, GPT, PyTorch. 3+ years building complex systems, startup scaling experience. Solve concurrency, real-time AI, latency issues. Visa sponsorship available. $170K-$250K. Must not be a job hopper.

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.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!).

Nooks

Nooks is an applied AI startup building AI assistants for outbound salesWe 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 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 code-base, own entire product areas, and build new features end-to-end.

Senior Product Engineer

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.

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, worked at Scale AI, Tesla Autopilot, etc.
The engineering team has won international math & physics olympiads, has experience at Google, Facebook, Slack, Quora, Scale AI, Bolt, Snap, Flexport, and other fast-growing startups.
The sales team have been top-performers at companies like Gong, Amplitude, LeadIQ, and Orum.
Fast growth: We’ve grown $0 → ~$4M ARR in 20 months. We grew 4x in 2023 and expect to 3x by EOY 2024.
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/BDR’s 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
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:

AI dialer - automates the manual parts of the calling process: skipping answering machines, leaving voicemails, taking notes, logging calls, even figuring out what to say on a call
Analytics - we record, transcribe, and analyze every call. Since these are all outbound calls with little context, these calls follow similar structure - opener, pitch, questions/objections, ask for meeting, etc. So we can answer questions like: “which reps struggle to book the meeting with prospects who showed interest” or “what are the most common objections across each of our key personas”
Salesfloor - sales reps & managers can work together throughout the day, listen to each others’ calls, give real-time advice, coaching, shadowing, onboarding, training.
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 realtime 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 code-base, 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!

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
Requirements
5+ years of experience as a software engineer or in a related technical role
Ability to work with our stack:
Frontend: React, Typescript, MobX
Backend: Node.js, Express, Typescript
Technologies: Firebase, Firestore, Websockets, Twilio, WebRTC, Postgres, Redis
ML: GPT, Transformers, PyTorch, signal processing, few-shot classification.
3+ years experience building complex systems (ideally somewhat related to ours)
You’re a confident, independent, and experienced engineer who is used to extreme ownership and solving hard problems
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.

Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As a Product Engineer at Extend, you’ll be responsible for building our core platform that companies use to train, deploy, and monitor AI agents. We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).Here's a few of the complex technical problems we're working on:<ul><li>How do we enable enterprises to deploy AI agents into production with confidence?</li><li>How do we handle never before seen edge cases in customer data?</li><li>How do we build a self-correcting system that automatically gets better over time?</li><li>How do we enable non-technical domain experts to train AI agents with their expertise &amp; business logic?</li><li>How do we help customers make tradeoffs between latency, cost, and performance?</li><li>How do we build reliable systems that can process large data streams in real-time?</li></ul>

Product Engineer

About the role
Extend is enabling enterprises to deploy in-house AI agents for processing unstructured data. As a Product Engineer at Extend, you’ll be responsible for building our core platform that companies use to train, deploy, and monitor AI agents.

We’re looking to hire exceptional engineers who care about crafting intuitive product experiences, relentlessly focus on the details, and operate with high agency.

IMPACT
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
ROLE
Build, and maintain, durable, scalable systems capable of processing 10s of millions of data points per month.
Design and implement the best human ↔ AI interfaces for designing data processing agents. We are building a new territory of UX that previously did not exist. It’s up to us to discover and implement new patterns that work for our users.
Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CEO, CTO, and other founding members and help build out our team.
About Extend
Hi! We're Extend, and we're helping companies deploy in-house AI agents for processing unstructured data. Extend is used in production at companies like Brex, Opendoor, Checkr, Vendr, and more. Our customers use our platform to build, deploy, and monitor intelligent data processing agents to turn their mountains of unstructured data (documents, PDFs, emails, images) → insights, customer NPS, operational efficiency, or new product initiatives.

We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g. missed payments, people can't move into homes on time).

Here's a few of the complex technical problems we're working on:

How do we enable enterprises to deploy AI agents into production with confidence?
How do we handle never before seen edge cases in customer data?
How do we build a self-correcting system that automatically gets better over time?
How do we enable non-technical domain experts to train AI agents with their expertise & business logic?
How do we help customers make tradeoffs between latency, cost, and performance?
How do we build reliable systems that can process large data streams in real-time?
TEAM
We're a small team of 5 that's fully in-person in NYC. Our backers include Homebrew, Innovation Endeavors, Character, and angels from OpenAI, Brex, Airbnb, Newfront, and more.

Live product engineer roles, could yours be next? 

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