Recruiting from Scratch provides recruiting services for companies that need to hire the best talent in software engineering, hardware engineering, product design, product management, marketing, and accounting &amp; finance.

Recruiting from Scratch

Initiated and led the early-stage hiring division that now contributes to 90% of the company's client base.

Head of Growth & Analytics

BlockSpan is an NFT API platform for software companies developing on the blockchain. The platform aggregates data from multiple chains and provides an API layer to allow NFT developers to retrieve token price, current NFT ownership, and metadata including cached images in real-time. 

BlockSpan’s mission is to simplify the development process for blockchain-based applications, enabling Web3 companies and builders to innovate apps with speed, confidence, and clarity while making their efforts more cost-effective.

BlockSpan

A venture backed comprehensive blockchain data infrastructure platform.

Founding Team

Data & Growth Team

76% of shoppers never make a purchase after visiting a fashion website. 30% of all online fashion purchases are returned, amounting to over 200 billion dollars in lost revenue. Fashion e-commerce needs an upgrade.

The FashionVerse increases conversions for online fashion products by offering:
1) Augmented Reality Try Ons
2) 3D View Integrations
3) Machine Learning Personalized Recommendations for your Website Users
4) Custom Digital Fashion for Influencer Marketing 
5) Metaverse Strategy Consulting Services

We’re a team of engineers and business professionals from the most technically advanced university, Carnegie Mellon. So far, we have worked with over 27 brands, achieving a 1-to-1 sales conversion rate. Some of our notable clients include Police Lifestyle and CoolCats.

The FashionVerse

A digital fashion startup. Raised a pre-seed round, cash flow positive, 2000+ monthly transactions on marketplace, 25+ enterprise deals with brands like KateSpade.

Founder

Smart Contract Research Forum

Raised $ from Chainlink and worked on building the #1 forum for researchers in Web3 working on consensus mechanisms, Uniswap V3, Liquidity Pools, optimistic rollups, etc. I was awarded employee of the summer.

Product & Growth

NextGenTutors

Built an Ed-Tech platform that imparted online education to over 5000 students within 3 months from launch.

Ishgun Singh Arora

Mike Lee

Hooman Mohammadi

Multiply is building financial products for innovators.We started with an affordable line of credit secured by private tech company stock, enabling employees to buy a home, pay tuition, pay for their wedding, and other major life events without giving up any equity or waiting for an exit. It’s the most affordable, convenient, and fair source of liquidity available.We also offer a home financing product that helps customers buy a home, getting credit for their more unique assets like company equity.Multiply partners with companies to offer our products as an employee benefit, helping them attract and retain top talent in a competitive hiring market.Multiply is a Series A startup backed by Kleiner Perkins, A* Capital, and Box Group, as well as founders and executives from Plaid, Figma, DoorDash, Notion, Instacart, Faire, Flexport, Ramp, Niantic, Rippling, Iterable, Lattice, Newfront, and more.

Multiply

Build the next generation of financial products for innovators. We are a rapidly growing fintech startup seeking a highly motivated and skilled Software Engineer to join our team. This role will offer you the opportunity to make a significant impact on the financial technology landscape. As a Software Engineer, you will work closely with a talented team to develop high-performance applications that meet the evolving needs of our customers. This dynamic role involves solving customer problems at all layers of the stack, from database to UI.

Software Engineer

3 days a week in-person in a great office in Jackson Square in San Francisco

Founding Engineer needed—focus on product engineering over traditional software. Must have strong side project experience, high energy for talent space, top school background, solid communication, and prior work at high-ownership companies. Based in San Francisco, on-site. Visa sponsorship available. Salary $130K-$200K.

Rohil K.

Samuel Shin

Paraform is a recruiting marketplace that connects companies with specialized, top-tier recruiters who can quickly fill open roles. By centralizing this process, we enable faster and more cost-effective hires—turning weeks or months into days. Companies gain flexible access to expert recruiting talent, while recruiters receive a steady flow of clients and work on their own terms.Incredible teams at the most exciting startups and enterprises are currently being built with Paraform. We’re backed by <a target="_blank" rel="noopener noreferrer nofollow" href="https://techcrunch.com/2024/04/15/paraform-a-recruiting-platform-that-connects-recruiters-and-startups-raises-funding/">top-tier investors</a> and have grown extremely fast in the past year. We see the future of recruiting as being fractional and powered by AI and believe we're best positioned to finally solve recruiting.Our customers include:<ul><li>Late stage businesses: Palantir, Ramp, Scale AI, Applied Intuition, Persona, Eight Sleep, Hightouch, Envoy etc.</li><li>AI companies: Decagon, Eleven Labs, Cursor, <a target="_blank" rel="noopener noreferrer nofollow" href="http://Character.ai">Character.ai</a>, Augment Code, Nooks, Cartesia, Replit etc.</li><li>Early stage: Slope, Pylon, Runway, Traba, Bland etc.</li></ul>

Co-founder 

Paraform

Recruiting is the highest-leverage action any company can take. Hundreds of billions are spent on staffing and recruiting per year because of how difficult yet critical it is. Hiring the best candidate for any role should take days, not months, and we believe we’re best positioned to solve this at scale with our AI-enabled recruiting marketplace.Our customers come to us with a hunch—that the only way to build an engineering team of 8 with secret clearance in D.C. or find an AI safety engineer in London is to outsource their recruiting efforts. You’ll be responsible for turning that hunch into reality by shipping with extreme urgency and having full ownership to craft a magical experience. We’re fortunate to be both growing extremely fast and profitable. We’ve 10x-ed our revenue in the past year to seven figures in ARR with a small, close-knit team and have a clear plan to 10x again in 2025.Why You Should Join<ul><li>You want to own and shape how AI transforms recruiting.</li><li>You thrive in fast-paced, high-ownership environments.</li><li>You’re excited to build with proprietary data and AI.</li><li>You want to help scale a company with a strong PMF while continuously innovating.</li></ul>Why You Shouldn’t Join<ul><li>You prefer clear structure over fast-paced execution.</li><li>You want a 9-to-5 job with a predictable routine.</li><li>You need constant direction instead of owning problems.</li><li>You aren’t passionate about fixing recruiting at scale.</li><li>You want a low-pressure role instead of rapid growth.</li></ul>What You’ll Work OnYou’ll work on high-impact, data-driven projects that optimize recruiter efficiency, improve hiring outcomes, and scale our platform across industries. Key challenges you’ll tackle include:<ul><li>Intelligent Matching → Build systems to precisely match recruiters to roles and candidates to jobs, optimizing placements with real-time data and AI.</li><li>Growth Engineering → Solve how we acquire every vertical—expanding Paraform’s reach and impact while maintaining efficiency at scale.</li><li>Leveraging Unique Data → Harness our proprietary recruiting data to continuously improve matching algorithms, recruiter efficiency, and company hiring processes.</li><li>Upleveling Recruiters → Reduce time-to-value, optimize incentives, and build tools that make recruiters more effective from day one.</li><li>Optimizing the Company Experience → Design a seamless, data-driven hiring process that makes recruiting on Paraform effortless and effective for companies.</li></ul>You’ll have end-to-end ownership, the ability to ship fast, and the chance to work with one of the most valuable data sets in recruiting to solve hiring at scale.What We Look For<ul><li>A product-minded engineer who cares deeply about customers and the core business.</li><li>High attention to detail in design and user experience.</li><li>2+ years of full-stack coding experience building products end-to-end.</li><li>Experience working at early-stage startups or building/hacking products independently.</li><li>Strong verbal and written communication skills.</li><li>Thrives from working with a team and has immense drive and passion for the work you do.</li><li>Prior experience in the talent and recruiting space.</li><li>This role has the potential to grow into our Head of Product.</li></ul>If this sounds interesting, email me at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:jeff@paraform.com">jeff@paraform.com</a>

William Huang

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.

With over $100M in funding, backed by investors like a16z and Sequoia Capital, Hex is changing how people use data by building a collaborative, shareable analytics workspace.We're looking for a frontend-leaning Fullstack Engineer eager to take over large swaths of our greenfield product roadmap. This is an evergreen role, as we need some great Fullstack talent to support our technology as we grow. As one of our early senior hires, this person will partner closely with our founders on the direction of our product and drive business-critical technical decisions.

This is a frontend-leaning, product-facing role. 

Fullstack Engineer

URL:https://hex.tech/careers/fullstack-engineer/
🙋‍♀️
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
🙋‍♀️
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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OPEN ROLE
Fullstack Engineer
SF or NYC
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

We are looking for a senior frontend-leaning fullstack engineer eager to take over large swaths of our greenfield product roadmap. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will also ship major product initiatives that fundamentally change the way that Data Scientists and Analysts operate, and have ample technical and team leadership opportunities, depending on your interests.

We aim to deliver an intuitive, delightful experience that is as empowering as it is pleasing to the eye and we have plenty of challenges at all levels of the stack. Some interesting challenges you could work on include:

Designing and building collaborative multiplayer editing of notebooks and applications, including conflict resolution and commenting systems.
Scaling rich, interactive, customizable components to provide a performant, pleasant experience from ten to a hundred or more notebook cells.
Representing complex concepts (e.g. caching, kernel execution state) in a digestible UX that is understandable for users from a variety of backgrounds.
Making chart building delightful whether there are ten data points or a million.
We'd love to hear from you if you have
At least 4+ years of software engineering experience.
Experience leading and executing on major product initiatives.
Excitement for getting your hands dirty and diving deep into how the browser works to develop high-quality and performant user experiences.
An aptitude for how web infrastructure works to develop high-quality internal developer and external user experiences.
An instinct for strategic thinking and aligning with business and product goals while keeping a healthy balance of velocity and engineering excellence.
Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
Experience maintaining a high quality bar for design, correctness, and testing.
An ability to lead product initiatives while collaborating and mentoring fellow engineers.
Curiosity and an interest in diving into the bigger picture of building a company, including go-to-market, customer development, people, and marketing.

This role will be hybrid (1-2 days per week in office) based out of one of our hub locations, currently in San Francisco and NYC.

Deployment Strategist in NYC, hybrid. Visa sponsorship available. Key Requirements: Low ego, adaptive, introspective. Solve open-ended problems, strong communication, technical intuition. Experience with Python, R, SQL. Responsibilities: Partner with customers, analyze data, improve decision-making. Salary: $110k-$170k. Must dive into data details.

Sayak Bagchi

At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems. Our software lets our customers integrate and analyze all of their data so they can answer questions that they couldn't before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more. And we need bright minds from around the world to help us.

Palantir

As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most exciting problems our world faces. Your mission is to synthesize disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.You'll immerse yourself in our customers' most intricate workflows. You'll partner with customer teams and explore the data, and plunge into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll seek will require a curious and analytical approach, a sharp intuition for product, and a strong degree of user insight to ultimately empower our customers to improve decisions.

Deployment Strategist, Utilities

Ability to travel 25 – 75% required. Varies by team

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.

Eric Tse

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.

MissionOrb is on an ambitious mission to provide every business with the infrastructure to unlock their revenue. Best-in class businesses find ways to effectively align their monetization to product usage—whether that's through seats, consumption, feature limits, or usage-based tiers. Orb brings that opportunity to every software company.We are reimagining billing and invoicing for this era of hybrid pricing in software. Billing is no longer just a finance problem, but also a high-stakes engineering observability problem that customers urgently need solved. At Orb, we take a developer-first, data infrastructure approach to this problem. We make it possible for companies to fully automate their current billing process, and to evolve their monetization strategy over time.Orb supports the end-to-end workflow for revenue: developers love our product’s extensibility and intuitive API, product managers become empowered to iterate on pricing and packaging much faster, finance teams get fine-grained reporting to facilitate revenue recognition, and customer-facing teams benefit from the transparency Orb brings to the customer relationship.

As an Infrastructure Engineer at Orb, you will be responsible for designing and maintaining product features that require deeply understanding reliable and scalable systems. The infrastructure team works on every part of the stack and ships product quickly. Notably, this is not an auxiliary or support team; at Orb, performant infrastructure is a core part of the offering.

Software Engineer, Infrastructure

Mission
Orb is on an ambitious mission to provide every business with the infrastructure to unlock their revenue. Best-in class businesses find ways to effectively align their monetization to product usage—whether that's through seats, consumption, feature limits, or usage-based tiers. Orb brings that opportunity to every software company.

We are reimagining billing and invoicing for this era of hybrid pricing in software. Billing is no longer just a finance problem, but also a high-stakes engineering observability problem that customers urgently need solved. At Orb, we take a developer-first, data infrastructure approach to this problem. We make it possible for companies to fully automate their current billing process, and to evolve their monetization strategy over time.

Orb supports the end-to-end workflow for revenue: developers love our product’s extensibility and intuitive API, product managers become empowered to iterate on pricing and packaging much faster, finance teams get fine-grained reporting to facilitate revenue recognition, and customer-facing teams benefit from the transparency Orb brings to the customer relationship.

About Us
Our founding team has experience from companies like Stripe, Asana, Plaid, Cloudflare, and Autodesk. We’ve raised $19.1 million in funding from top-tier investors like Menlo Ventures, Greylock, base case, South Park Commons, and Scribble, as well as founders and operators from companies like Vercel, Plaid, Datadog, Notion, Asana, HubSpot, and more.

Working at Orb
When you meet our team, you’ll see we’re a group of dedicated and kind individuals who care deeply about solving what is one of the most mission-critical problems for any business.

Every one of us has outsized impact on the business, our product, and our customers—we hold ourselves to a standard of excellence, with the empowerment to take risks and the judgment to focus our time on maximizing leverage.

We are not a culture of long hours, but we approach our work with intensity and a sense of urgency. With a product like ours, minutes matter: we can help accelerate other businesses tremendously if we’re focused on building quickly while maintaining critical attention to detail. When we’re ‘on’, we’re on; we work hard, then we go home.

We will focus on setting you up for success, with the right expectations and enablement. We coach on outcomes, not inputs or style. We show up for each other with kindness, which earns us the ability to have difficult conversations with trust by default and openness to feedback.

As a growing organization, we value in-person collaboration. We see it as a way to achieve our mission faster, in an environment of rapid ideation, strong alignment, and that energy that makes work more fun.

Role & Impact
As an Infrastructure Engineer at Orb, you will be responsible for designing and maintaining product features that require deeply understanding reliable and scalable systems. The infrastructure team works on every part of the stack and ships product quickly. Notably, this is not an auxiliary or support team; at Orb, performant infrastructure is a core part of the offering.

Orb has a broad range of infrastructure challenges that you’ll tackle in concert with our team. Some examples of work you might do at Orb include:

Building and scaling our data ingestion pipelines to support ever increasing data volumes. We ingest anywhere from 100 million to one billion events an hour and expect to see massive growth over the next year. These data pipelines need to be incredibly robust; the accuracy of every event counts.

Understanding how to scale query throughput against our specialized datastores in service of product features like real-time alerting while maintaining maximum flexibility in metrics customers can define. This allows our customers to implement usage limits and spend management through Orb.

Providing the most performant and flexible APIs to our customers and their end users, so they can build experiences that leverage usage data stored in Orb.

Building simple and reusable system-level components to serve as a foundation for other engineers. For example, designing and building a robust rate and cost limiting strategy across Orb’s API.

This is an opportunity to be the foundation of our infrastructure team, so you’ll lay the groundwork for both technical process and product investments. Your early work on our infrastructure stack will be key for the next decade of scaling Orb’s product. 

About You
You have 4+ years of experience in software engineering, specifically with 2+ years of experience in infrastructure engineering

Strong knowledge of best practices in modern software development such as deployments, CI/CD, data management, security, and distributed systems.

Experience working with AWS or other cloud environments utilizing containerization technologies such as Docker or Kubernetes.

Based in the San Francisco Bay Area or willing to relocate (with support from Orb)

In order to thoughtfully scale the company and avoid downstream inequities, we don’t use leveling titles at Orb. You will not see us use prefixes like “Senior” in our job descriptions. We include experience requirements for every role and compensate employees based on their experience and internal level within Orb.

Orb’s Tech Stack
At Orb, we believe great engineers can learn any stack, so you do not need experience with these specific tools and we encourage you to apply regardless.

Tech Stack:

Frontend: Typescript + React + Tailwind CSS

Backend: Python

Datastores: PostgreSQL + Apache Druid

Streaming Platforms: Kafka + Spark Streaming

Cloud Platform: AWS

Benefits
Medical insurance - 100% coverage for you and dependents

Dental, vision, and life insurance

Unlimited PTO, with 15 days minimum encouraged

401k plan

16-week paid parental leave with equity vesting

Commuter stipend

Catered lunches in the office

Equal Opportunity Employer
We work with each other day in and day out, and strongly believe that building a diverse and inclusive team is key to our long-term goals and success as a company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

We do not do ANY transfers (H1B, TN, etc.).

In SF or relocate. Founding engineer needed; fullstack with NodeJS, Typescript, LLMs (OpenAI, Langchain), AWS, CI/CD. Freight tech passion essential. Engage in-person 5-6 days/week. Early startup vibe; autonomous and entrepreneurial. Visa sponsorship available. $150K-$230K. Disrupt freight with AI and SaaS innovation.

Bianca Y.

FleetWorks automates the 2B phone calls and emails that the freight industry makes every year. We use voice synthesis, generative AI, and integrations with logistics systems to solve the largest cost in this industry - people.When Uber Freight needs to ship a truckload of Coca-Cola going from Phoenix to Bentonville. They can use FleetWorks to call the driver to get an ETA, alert the receiver and shipper that the driver is running late, and reschedule the appointment - all with automated text messages, phone calls, and emails.❌ THE PROBLEM:Getting freight from point A to point B is still largely handled by humans. Digitized brokers have driven automation, but most day-to-day operations are still handled over phone and email between millions of humans around the world. Given this overhead, freight brokerages operate on low single-digit margins.Three roles in a freight brokerage spend a significant part of their day on repetitive tasks:<ol><li>Track and trace agents → Identify loads that are not being tracked automatically via apps, telematics, or aggregators. They reach out via phone or email to the driver or dispatcher for an update.</li><li>Load coverage and carrier sales → Handle inbound/outbound calls to/from trucking companies that are interested to book loads. Information like weight, commodity, and appointment time is shared. Then the parties negotiate on price.</li><li>Appointment schedulers → Set appointment times for unscheduled loads by calling or emailing facilities, or logging into customer portals. Due to unforeseen issues, 20-30% of appointments need to be rescheduled at the last minute resulting in even more work.</li></ol>✨ OUR SOLUTION:FleetWorks sits alongside a broker’s phone, email, and transportation management system (TMS). Calls and emails can be triggered automatically or manually, and relevant information is automatically pushed to the TMS or email for operators to take action.FleetWorks can automatically<ol><li>Book loads: Share load details, discuss price, and book the carrier.</li><li>Track loads: Call the driver and update the account team on issues.</li><li>Schedule appointments: Email or call facilities that don’t have a booking portal.</li></ol>💲 THE OPPORTUNITY:There are 150 large brokers in the U.S. (&gt;$100M gross revenue) and they are taking share from small brokers. These brokers alone spend $11B on operational headcount and 70% of headcount is involved in repetitive work.These operators conduct 1 billion phone calls per year to manage load execution. Today, these calls cost $5-15 depending on complexity. At a rate of $1 per successful call (10x cheaper than the status quo), we believe our near-term market opportunity is $1B.Given the $11B of spend on operational headcount, FleetWorks provides significant margin expansion for our customers.

FleetWorks (YC S23)

The ideal candidate is a driven generalist who can take on any challenge and is always thinking of new ways to innovate. This role is a good fit if you are passionate about owning product development, leading with the right design and development principles.As part of our founding team, you will have a high agency role in bringing AI to the transportation industry: shipping new features, talking to users and shaping company culture for other team members to come.You will work closely with the CTO and other engineers to build and improve experiences in our pilot SaaS product.

Senior Software Engineer

URL:https://www.ycombinator.com/companies/fleetworks/jobs/F0xTuDC-founding-software-engineer
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FleetWorks

Automating the 2B phone calls and emails that keep freight moving

Founding Software Engineer
$130K - $200K / 1.00% - 5.00%
Location
San Francisco, CA, US
Job Type
Full-time
Experience
3+ years
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Quang Tran
Founder
About the role

The ideal candidate is a driven generalist who can take on any challenge and is always thinking of new ways to innovate. This role is a good fit if you are passionate about owning product development, leading with the right design and development principles.

As part of our founding team, you will have a high agency role in bringing AI to the transportation industry: shipping new features, talking to users and shaping company culture for other team members to come.

You will work closely with the CTO and other engineers to build and improve experiences in our pilot SaaS product.

Must haves:

In SF, or willing to relocate
At least 3 years of relevant development experience
Excellence in NodeJS, Typescript
Demonstration of autonomy and entrepreneurial spirit

Good to haves

Proficiency in GCP, cloud deployment, CI/CD
Experience with LLMs (OpenAI API, Langchain, HuggingFace, etc.)
Previous startup experience
About the interview

At FleetWorks, we seek engineers who excel in customer interaction, rapid iteration, and product ownership. Our engineers drive their roadmap and MVP development, emphasizing full-stack work, analysis, and customer interaction. Our interview process is tailored to identify such engineers, with a focus on product-oriented questions relevant to our work.

Interview Process Overview:

Phone Screen: An informal call to assess your fit for the role and FleetWorks' startup environment. We look for a strong startup interest, demonstrated by past experience.
Technical Screens: Two remote sessions to evaluate programming skills and UI experience.
Interview Process: A deep dive into technical abilities, product thinking, and fit.
Debugging: Fixing code and communicating the process.
Whiteboard: Solving coding questions and discussing solutions.
Database/Schema Design: Designing database schemas with a focus on Postgres.
Product Thinking: Discussion on feature building and decision making.
Final Interviews: In-person interviews in SF, covering compensation, benefits, and general matters. Lunch is provided to meet the team.

Timing: The process typically takes a month, but we can expedite for candidates with competing offers or time constraints.

For questions, email us at quang@fleetworks.ai.

About FleetWorks
FleetWorks
Founded:
2023
Team Size:
2
Location:
 
Founders
Paul Singer
Founder
 
Quang Tran
Founder
 
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