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Vice President

Clint Tankersley

Senior Distributed Systems Engineer for Hightouch's Core Team. Must be product-minded, with experience scaling systems, building data streaming services, and syncing engines. Familiarity with distributed and high-scale systems. Remote work, visa sponsorship available. Salary: $170K-$260K. Focus on sync speed, real-time streaming, and multi-cloud infrastructure. High priority role.

Li Pei

William Liu

Zhenzhong Xu

Tanvi Meringenti

Jiawei Xie

Sriganesh N.

Roshan Naik

Prashant Mulge

Meyer Lobl

Aditya Randive

Tom Schutte

Adhar Maheshwari

Benton Li

Steven Blass

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations. Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.Hundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

VP of Engineering

Hightouch

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningful improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Talent

Software Engineer, Distributed Systems (Core)

URL:https://boards.greenhouse.io/hightouch/jobs/4782625004
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Software Engineer, Customer Studio Backend
(View all jobs)
Remote (North America)
About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About the Role

Building upon Reverse ETL’s ability to use SQL to sync to any SaaS tool, Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. Despite being a small team (3 engineers, 1 PM, 1 designer), Customer Studio is our fastest growing product and already accounts for nearly half of our revenue, which also gives this role the potential to have significant impact!

We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.

Some of the problems we’ll be working on include:

Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000 - $240,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
System Design Screen [60m]: Designing a feature end-to-end, including touching the database, API, web frontend, and data warehouse.
Product Sense Interview [60m]: Coming up with potential product and feature ideas in response to customer requirements. Focuses primarily on product solutioning with some technical analysis in determining the feasibility of ideas.
System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
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Decagon seeks a top-tier engineer with 4+ years in high-growth startups, AI product experience, strong product sense, and stability in roles. Responsibilities: Drive core product development, interface with customers, collaborate with founders. Location: SF, on-site. Visa: Sponsorship available. Salary: $175K-$225K.

Legend Brandenburg

Michael Bitzos

Justin Fan

Aakash Shukla

Mark S.

Frank Liu

Pratyusha Duvvuri

Stuart Baker

Kevin Z.

Max Ogryzko

Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

Decagon

Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Eventbrite, ClassPass, Substack, Rippling, BILT, etc by creating generative AI agents to handle customer service and more.We're looking for a software engineer who will work with the founders to build a category-defining product and scale it to massive enterprises and high-growth startups alike. We’re looking for someone who is excited by this challenge and the potential impact we can make if we do this right.You’re a product-minded engineer who thrives in a highly autonomous environment and enjoys working together with a highly driven, resourceful team to win. Shipping fast and building awesome things brings you fulfillment. We're backed by leading investors and based in SF.

Software Engineer

In-person at our offices in San Francisco

Traba needs top 1% software engineers with CS degrees from top schools, proven product shipping, early-stage team experience. Both frontend and backend roles available. Lead web/mobile app dev, set coding best practices, collaborate on UX, build analytics. On-site, visa sponsorship available. Salary: $160k-$200k.

John C.

Zane Alpher

Junhong Chen

Quin Koether

Jerry L.

Abin Aloshious

Thomas Marlette

Sriram Manoharan

Rohan Mehta

Kristin Diep

Michael Woon

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst.

Traba

Traba is a technology company that increases the productivity of the light industrial supply chain. We connect businesses with vetted workers for staffing needs by utilizing location monitoring, predictive algorithms, machine learning, AI, computer vision, and other technologies.


We are seeking an experienced &amp; entrepreneurial engineers to join the team to help build our core suite of products—mobile apps for both workers &amp; business, and web platforms for our business customers and our internal Ops team. We are hiring across multiple seniority levels and both frontend and backend. You'll partner with our CTO to help own product decisions, iterate on the product roadmap, and architect &amp; build our foundational tech platform.

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst.

We are seeking an experienced & entrepreneurial front-end engineer to join the founding team to help build our core suite of products—mobile apps for both workers & business, and web platforms for our business customers and our internal Ops team. You'll partner with our CTO to help own product decisions, iterate on the product roadmap, and architect & build our foundational tech platform.

About You:

Voracious learner. You love diving into new areas and exploring new languages, frameworks, and technologies, and can discuss product with a UX designer one minute and deployment infrastructure with tech leads the next.

Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback.

Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details.

Deep expertise building pixel-perfect, performant web applications. You have designed and built performant, scalable applications, and have expertise in client side state management, responsive design, and frontend tooling.

You Will:

Lead the development of our web & mobile applications, guiding other engineers as needed

Establish best practices in code reusability and build processes for our frontend monorepo

Collaborate with product & design to build a best-in-class user experience

Build analytics & monitoring to help understand our user experience & application health

Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing!

You Have:

5+ years experience with Typescript/Javascript, and React or React Native

A track record of shipping amazing products

Pixel-perfect attention to detail

Experience building APIs is a plus

Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter

A passion for helping people find meaningful work that works for them

Benefits:

📈 Start-up equity

💰 Competitive Salary

🩺 100% Paid health, dental & vision coverage

🍽️ Dinner Provided via Grubhub & stocked kitchen for NY employees

🚍 Commuter benefit

🎤 Team building events

🏋🏽 Gympass Benefit

🌴 Flexible PTO

✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health

Salary Range Details
The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.

Equal Opportunity Employer
Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.

Our Values
Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.

Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.

Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.

Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems

What is light industrial labor?
Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.



We are 100% in-person in SoHo, New York. Our HQ is located in the heart of SoHo between Little Italy and Tribeca.

Software Engineer in NYC, on-site. Build fast, high-quality products at Rilla, a top-growing startup. Key tech: AWS, React, React Native, Typescript, Python. Consultancy experience, CS degree, startup background preferred. Customer-first mindset essential. Visa sponsorship available. Salary: $165K-$190K.

Caleb John

Akshay Chandramouli

Luke Evans

Khalid Tawohid

Ethan D.

William H.

Rilla’s the leading conversation intelligence software for outside sales. Think solar, roofing, and real estate sales reps.They talk to customers face to face, our mobile app records their conversations, and our AI automatically transcribes and analyzes their conversations to help them improve their sales.Our vision is to bring the power of conversation intelligence from the Zoom meeting and the call center to the more than 10M sales people who work offline.We’re backed by Byron Deeter (one of the best investors in history) from Bessemer Venture Partners, the top Cloud investor in the world. And we’re a <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.forbes.com/sites/irenebenedicto/2023/08/08/cloud-100-rising-stars-2023-the-next-generation-of-superstar-cloud-companies/?sh=5dd03d7152f5">Cloud 100 Rising Star</a> company.

Rilla

You will be a part of the founding team in one of the fastest growing startups in the world. As we scale, we need an engineer who can build high-quality products quickly. You will collaborate with everyone at Rillavoice, even our customers, to deliver a world-class solution.Rillavoice is built using Typescript with Node.js on the backend, and React/React Native on the frontend. Our integrations and AI workloads are built on Python. We use PostgreSQL as our database. We will look to your experience to impact our codebase and help our engineering team expand its skillset.

Agustin Forero

Jason Gong

Smit Jain

Erik Gregorio

Ari Polakof

About usHarmonic is the startup discovery engine. We believe in innovation, entrepreneurs, and efficient capital markets. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the index and tools that ensure the most promising founders get found and funded.The world's largest and most prolific venture capital firms rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize.We’ve been growing steadily and need passionate driven people to help us get to the next level. If you want to work in a high-growth environment with some of the most talented folks on the planet and resonate with <a target="_blank" rel="noopener noreferrer" class="c-link" href="https://www.harmonic.ai/careers">our values</a>, read on.

Harmonic

Harmonic is using data and AI to map the world of startups. When companies are first formed, they’re invisible to the world. We’ve created the only complete startup database, enabling the right investments to reach the right entrepreneurs at the right moment. As a Software Engineer at Harmonic, you will play a crucial role in influencing and executing the overall vision of our offerings. Collaborating with Product &amp; Design, you will create products that help customers discover startups and exceed their expectations. Your responsibilities will include working on every layer of our stack, troubleshooting issues, and ensuring our customers gain maximum value from our product. If you know someone with a track record of building scalable systems, experience in frontend and backend development, and a passion for sharing your knowledge, we'd love to chat with them!

Software Engineer (General)

Vish Ramamurthy

Will Yeung

Suhaas Reddy

Lynn Bou Nasif

Ryan McCord

Anand Navaneetha

Sam Wittmann

We are seeking an experienced &amp; entrepreneurial senior backend engineer to join the founding team to help build our backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect &amp; build our foundational tech platform to enable scaling over the next several years.

Senior Software Engineer (Backend)

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst.



We are seeking an experienced & entrepreneurial senior backend engineer to join the founding team to help build our backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect & build our foundational tech platform to enable scaling over the next several years.

About You:

Voracious learner. You love diving into new areas and exploring new languages, databases, and technologies, and can discuss API design one minute and deployment infrastructure pipelines with tech leads the next.

Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback.

Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details.

Deep experience building distributed systems. You have designed and built performant, scalable applications, and have expertise in developing APIs, data modeling, optimizing database queries, and scaling distributed systems.

You Will:

Architect and lead the development of our applications, APIs, and distributed systems

Architect & document our tech platform and advise key product & infrastructure decisions

Implement our CI/CD workflows, using Docker & Github

Build analytics & monitoring to help understand our user experience & application health

Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing!

You Have:

5+ years experience with Typescript/Node.js or Python, RabbitMQ or Kafka, and PostgreSQL or equivalent

A track record of shipping scalable distributed systems

Experience building APIs

Experience with Docker, Github Actions, and Datadog

Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter

A passion for helping people find meaningful work that works for them

Benefits:

📈 Start-up equity

💰 Competitive Salary

🩺 100% Paid health, dental & vision coverage

🍽️ Dinner Provided via Grubhub & stocked kitchen for NY employees

🚍 Commuter benefit

🎤 Team building events

🏋🏽 Gympass Benefit

🌴 Flexible PTO

✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health

Salary Range Details
The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description.

Equal Opportunity Employer
Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets.

Our Values
Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results.

Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field.

Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience.

Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems

What is light industrial labor?
Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

Mason Archer

Neil Gupta

Ke Huang

Archit Kulkarni

Kin Sang Ching

Ryan Siu

Software Engineer - old

Software EngineerLocationSan FranciscoTypeFull timeDepartmentEngineeringCompensationBase Salary $174.6K – $225.8K • Offers EquityOverviewApplicationAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyApply for this JobThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.Powered by Privacy PolicySecurityVulnerability DisclosureSoftware EngineerLocationSan FranciscoTypeFull timeDepartmentEngineeringCompensationBase Salary $174.6K – $225.8K • Offers EquityOverviewApplicationAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyApply for this JobSoftware EngineerSoftware EngineerLocationSan FranciscoTypeFull timeDepartmentEngineeringCompensationBase Salary $174.6K – $225.8K • Offers EquityOverviewApplicationAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyApply for this JobLocationSan FranciscoTypeFull timeDepartmentEngineeringCompensationBase Salary $174.6K – $225.8K • Offers EquityLocationSan FranciscoLocationSan FranciscoTypeFull timeTypeFull timeDepartmentEngineeringDepartmentEngineeringCompensationBase Salary $174.6K – $225.8K • Offers EquityCompensationBase Salary $174.6K – $225.8K • Offers EquityBase Salary $174.6K – $225.8K • Offers EquityBase Salary $174.6K – $225.8K • Offers EquityOverviewApplicationAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyApply for this JobOverviewApplicationOverviewApplicationAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyApply for this JobAbout Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyAbout Decagon:About Decagon:Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.Duolingo, Notion, Rippling, Eventbrite, Webflow, BILTWe've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.$100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad GilAbout the Role:About the Role:We’re looking for a software engineer to work with the founding team on building a category-defining product and scale it to massive enterprises and high-growth startups alike.You will work closely with, and often be the primary point of contact for, a segment of our enterprise customers. If you’re excited about the opportunity to build AI products, in close collaboration with large tech enterprises, you will enjoy working with us.Finally, you'll be working at the forefront of LLMs and Agents, often tasked with solving problems that are unique to LLM applications at scale, so you'll need to come up with creative solutions.Qualifications:Qualifications:We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.We are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.You write amazing code, fast.You write amazing code, fast.Benefits:Benefits:Health, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyHealth, dental, and vision insuranceHealth, dental, and vision insuranceTake what you need vacation policyTake what you need vacation policyCareer growth opportunities within a fast-growing AI companyCareer growth opportunities within a fast-growing AI companyCompensation Range: $174.6K - $225.8KApply for this JobApply for this JobThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.Privacy PolicyTerms of ServicePowered by Privacy PolicySecurityVulnerability DisclosurePowered by Powered by Privacy PolicySecurityVulnerability DisclosurePrivacy PolicySecurityVulnerability Disclosure

First machine learning engineer needed to build intelligence layer for data activation products. Must have experience in ML, modeling, backend engineering, distributed systems, and LLMs. Strong backend and ML principles required. Remote work, visa sponsorship available. Salary: $200K-$260K. Report to Ernest.

Edgar Chen

Alex W.

Ishan Vashishtha

Abhay Varmaraja

Jiachao Chen

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

Machine Learning Engineer, AI Decisioning

San Francisco-based, on-site. Visa sponsorship available. Need full-stack engineer with NodeJS, TypeScript expertise. Freight tech experience essential. Must thrive in intense work culture, early startup experience preferred. Proficient in AWS, CI/CD, REST APIs, client interaction. Work closely with CTO, drive AI-driven SaaS product development, engage with users. Salary: $150K-$230K.

Brian Kennedy

Luis Legro Correa

Saswat Bhattacharya

Shayan Talebi

Obinna A.

FleetWorks is a vertical AI agent for the outdated freight brokerage industry. To book just a single truckload of Coca-Cola from Atlanta to Chicago, a freight broker has to send and receive up to 50 phone calls, emails, and text messages. This can take hours out of their day. FleetWorks automates this human labor with an omni-channel AI.

FleetWorks (YC S23)

FleetWorks is a vertical AI agent for the outdated freight brokerage industry. To book just a single truckload of Coca-Cola from Atlanta to Chicago, a freight broker has to send and receive up to 50 phone calls, emails, and text messages. This can take hours out of their day. FleetWorks automates this human labor with an omni-channel AI.Our product is already used by many of the top 100 brokers in the U.S. This role is a good fit if you are excited to learn about logistics and are passionate about AI, owning product decisions, and great design.As an early software engineer, you will have a role in bringing AI to the transportation industry: shipping new features, talking to users and shaping company culture for other team members to come.

Senior Software Engineer

URL:https://www.ycombinator.com/companies/fleetworks/jobs/F0xTuDC-founding-software-engineer
AboutCompaniesStartup JobsFind a Co-FounderLibrarySAFEResources
Apply for S2024 batch.Apply
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
Connect directly with founders of the best YC-funded startups.
Apply to role ›
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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Can sponsor TN. Can also sponsor H1B transfers and sponsorship, but need the candidate to have authorization to work in person immediately upon hiring (OPT etc is ok).

We work together in-person at our SF office right next to the Caltrain station. We are in person 6 days a week, usually 9-9 on most days except Friday and Sunday when it's a bit lighter. 

Backend Engineer needed at Endex in NYC, on-site. Design/build backend systems for financial analysis platform. Must have strong GitHub, TypeScript, Python, experience at reputable startups. Architect scalable systems, work on data engineering pipelines. Confident, curious, well-spoken. Visa sponsorship available. Salary: $200K-$250K.

Samuel Noguchi

Robert Buckley

Advitya Chhabra

Eric Van Grinsven

Endex is on a mission to bridge the present to the inevitable by building the most sophisticated digital coworker for financial services (AI financial analyst function). We're recruiting a team to work on the frontier of agentic development and applied finance, in close collaboration with leading research labs.

Endex

As a Backend Engineer you will build the core systems that power our financial analysis platform. You'll design and develop robust APIs, services, and application logic that transform complex financial data into intuitive tools for investment professionals.We have large data engineering pipelines that ingest millions of earnings calls/SEC filings and an enterprise search function. You'll be building the infrastructure to do that as well as work on airflow pipelines and data pipelines.

Backend Engineer 

San Mateo-based, on-site work 4+ days/week. Seeking top-tier school grads excited about startups, skilled in API & schema design, building scalable web apps. Must demonstrate outlier traits or achievements. Not interested in candidates considering large companies. Visa sponsorship available. Salary: $120K-$200K.

Andrew Wang

Syed Husain

Shyam Panchal

Varun Shah

Maxima’s mission is to “maximize shareholder value for every enterprise in the world by making theirfinancial information accessible, accurate, and actionable”.Today, there are so many companies out there who make sub-par financial decisions leading to constant layoffs, churn and wealth destruction. Thereby, impacting the interest of their employees (livelihood, 401K, kids’ college fund), shareholders and suppliers.Ask yourself: why do some companies drop [90%] of their share price in 2 years, get acquired by private equity and then turn profitable in the next 1 year. With no real change to their customer or product.The single biggest reason behind these sub-par financial decisions are: fragmented financial data which does not provide any forward-looking, actionable RoI insights to the decision makers. Such a broken set up also leads to lack of time and attention from the accounting and finance teams, as they spenddisproportionate time on mundane tasks like month-end close. Most accounting teams spend 20-22 out of 30 days every month to close their monthly books, and this exercise happens every month, 12 times a year. 87% of accountants are burnt out by the month end close and 90% face intense pressure to closethe books faster.Maxima’s moonshot is to close the books for every company on ‘day zero’. Gone are the days of month end close. We are enabling a future of “continuous close”. On the first day of every month, our AI based systems will automatically update the financials so that teams can spend the rest of their time analyzingand making the best decisions for their business. We have several unicorn businesses and publicly traded companies as our customers.Maxima will directly improve the work lives of 2% of the entire US employees who are in deep pain and frustration, see the sample reddit post below and find more <a target="_blank" rel="noopener noreferrer" href="https://www.reddit.com/r/Accounting/search/?q=pain&amp;type=link&amp;cId=5bbdc2e9-8610-4896-8416-742256a7991c&amp;iId=90665da5-61ae-41db-afa9-2672d50f98a6">here</a>.

Maxima

Why should someone work here?<ul><li>They want to build zero to one: Zero to one is very different from one to hundred. It's long hours, a lot of trials and experiments to build a product that will truly change the lives of the accounting /financial professionals and maximize financial performance of every company in the world</li><li>They are comfortable with agency and ownership: You are comfortable owning large pieces of the problem and executing it with little support. You strongly believe in customer satisfaction beingthe #1 priority and you are willing to do whatever it takes to make them happy.</li><li>They are motivated to build complex systems: We are building custom rule engines, AI-agents based explanation frameworks, multi-tenant datastores to name a few. Building generic systems that can help any enterprise to accurately get their financials and report it to board members or public markets is very complex.</li><li>They prioritize learning: As a small startup, engineers not only build the product &amp; infrastructure, but also talk to customers, jump in sales calls and figure out product roadmap.</li><li>Move fast, fail fast: We are a start up, everything we do is in compressed timelines. You will single handedly build a lot of features in weeks that many large teams at big tech will take months to complete.</li><li>They like a fun team: Startups are hard so why not have fun along the way?</li><li>They like to work in-oﬃce: We work at least 4 days/week in-oﬃce in Menlo Park (moving to San Mateo)</li></ul>

Founding Engineer

Maxima’s mission is to “maximize shareholder value for every enterprise in the world by making their
financial information accessible, accurate, and actionable”
.
Today, there are so many companies out there who make sub-par financial decisions leading to constant
layoffs, churn and wealth destruction. Thereby, impacting the interest of their employees (livelihood, 401K,
kids’ college fund), shareholders and suppliers.
Ask yourself: why do some companies drop [90%] of their share price in 2 years, get acquired by private
equity and then turn profitable in the next 1 year. With no real change to their customer or product.
The single biggest reason behind these sub-par financial decisions are: fragmented financial data which
does not provide any forward-looking, actionable RoI insights to the decision makers. Such a broken set
up also leads to lack of time and attention from the accounting and finance teams, as they spend
disproportionate time on mundane tasks like month-end close. Most accounting teams spend 20-22 out
of 30 days every month to close their monthly books, and this exercise happens every month, 12 times a
year. 87% of accountants are burnt out by the month end close and 90% face intense pressure to close
the books faster.
Maxima’s moonshot is to close the books for every company on ‘day zero’
. Gone are the days of month
end close. We are enabling a future of “continuous close”
. On the first day of every month, our AI based
systems will automatically update the financials so that teams can spend the rest of their time analyzing
and making the best decisions for their business. We have several unicorn businesses and publicly traded
companies as our customers.
Maxima will directly improve the work lives of 2% of the entire US employees who are in deep pain and
frustration, see the sample reddit post below and find more here.
Accounting+finance professionals: 3M (2%) out of 161M total US workforce as per BLS data.
Why do you want to work here?
● You want to build zero to one: Zero to one is very different from one to hundred. It's long hours, a
lot of trials and experiments to build a product that will truly change the lives of the accounting
/financial professionals and maximize financial performance of every company in the world
● You are comfortable with agency and ownership: You are comfortable owning large pieces of the
problem and executing it with little support. You strongly believe in customer satisfaction being
the #1 priority and you are willing to do whatever it takes to make them happy.
● You are motivated to build complex systems: We are building custom rule engines, AI-agents
based explanation frameworks, multi-tenant datastores to name a few. Building generic systems
that can help any enterprise to accurately get their financials and report it to board members or
public markets is very complex.
● You prioritize learning: As a small startup, engineers not only build the product & infrastructure,
but also talk to customers, jump in sales calls and figure out product roadmap.
● Move fast, fail fast: We are a start up, everything we do is in compressed timelines. You will
single handedly build a lot of features in weeks that many large teams at big tech will take
months to complete.
● You like a fun team: Startups are hard so why not have fun along the way?
● You like to work in oﬃce: We work at least 4 days/week in-oﬃce in Menlo Park (moving to San
Mateo)
T eam & Financial Health
● Very strong founding team: The founding engineers team has staff level engineers and leaders
from companies like Robinhood, Twitter, Google, WhatsApp, Netflix & Bolt. The CEO, Yogi is a
domain expert who took Rubrik from a $0 to $6B IPO in NYSE and deeply understands this
problem. Akshaya & Jack have built similar massive scale systems for companies like Twitter and
Netflix processing hundreds of millions of transactions per day. Many others on the founding
team have led similar massive scale systems at Robinhood, Airbnb & Youtube. Most investors
consider us to be the strongest team in this problem space.
● Largest seed in our problem space from top tier investors: Raised a $10.5M Seed round backed
by Kleiner Perkins and Audacious Ventures, who have backed companies like Google, Amazon,
Rippling, Figma etc. We have plenty of runway and we are confident we can raise future rounds.
● Strategic angels: Our angel investors comprise of CFO’s, Finance and Accounting Heads of
companies like OpenAI, Datadog, Adobe, Rubrik, Atlassian, Rippling, Vanta, Blackline
Ideal Candidate Profile [For recruiters only]
● Junior Engineers: Top tier educatio

Can sponsor TN and H1B transfer but cannot start with H1B sponsorship

Nice office right next to San Mateo Caltrain station in downtown. We will provide standing desks, comfortable seats, free lunch.

Olivia Jerdee

Evan Bradley

Louis Lin

At Credal, our mission is to Harness AI for everyone building a better future. We're a hyper-growth, well funded startup building an extraordinary team of thoughtful doers that can shape the future of the AI industry. With strong funding from great investors, we have the runway to navigate market fluctuations while making ambitious bets on our product vision.The goal is to enable anyone to supercharge the operational workflows of all of our users at an enterprise - such as understanding data, taking actions, and building end to end workflows that can be run via AI. By freeing up the operational burden of someone's day to day, they can be more productive, creative and focus on what tasks really matter.

Credal (YC W23)

Credal is hiring a Founding Fullstack Engineer to join our team in Brooklyn, NY! This role requires a strong background in software development, including experience in front-end technologies such as React, CSS, and Typescript, as well as back-end technologies such as databases, server-side frameworks, and APIs.

Founding Software Engineer, Fullstack

About the role
🌟 About You
This role requires a strong background in software development, including experience in front-end technologies such as React, CSS, and Typescript, as well as back-end technologies such as databases, server-side frameworks, and APIs. Additionally you’ll:

Experience ideally in a start-up like environment where you have taken full ownership of projects from start to finish.
Be comfortable working in sprint cycles in a fast-paced environment and embody our cultural principles around outcome orientation and biasing towards action.
Be ambitious - we’re working on an incredibly hard problem and are looking for people who are energized by challenges.
Be customer-focused - care about addressing the challenges our customers encounter, using their feedback to continuously shape our product.
Experience in any of the following is great to have but not required:

AI/ML especially in generative AI / LLMs.
CloudOps/DevOps - using tools like Terraform, Kubernetes, etc.
Data infrastructure - using tools like dbt, Airflow, Dagster, Snowflake, etc.
Working in highly regulated environments with rigorous data security requirements (healthcare, finance, government, etc).
We understand that not everyone will perfectly match the description above, and we are dedicated to maintaining an equal and diverse workplace. We embrace individuals who may not fit the traditional mold and encourage you to apply if you believe you would be a good fit for our values and culture. 😊

👷‍♀️ About the Role
The founding software engineer will work closely with the CEO and CTO to develop the core product offering.

The nature of this work will change in a fast-moving environment but typically involves a combination of (depending on your background):

Working with AI/LLMs: Improving the performance of our Retrieval Augmented Generation platform by experimenting with foundational LLMs and novel search techniques. Help define industry standards for how to leverage generative AI in enterprise settings.
Enhancing our developer-focused APIs: improving and expanding the functionality of our APIs to make them more user-friendly and efficient for developers. This includes optimizing performance, adding new features, and ensuring seamless integration into existing customer workflows.
Making improvements to our frontend: Refining the visual design, optimizing the performance, and implementing new features in our platform’s frontend to make it more intuitive and engaging for our users.
Working on our data platform: Making improvements to our data platform to ingest, transform, and embed customer data for use in generative AI applications. Optimizing the data infrastructure’s performance and scalability to ensure reliable and timely data integration.
💾 Our Stack
We don’t care about which tools you have experience in so long as you’re able to adapt and be effective in our current environment:

Frontend: NextJS, React, Typescript, Tailwind
Backend: NextJS, Typescript, EdgeDB/PostgreSQL, Milvus
Cloud: AWS, Terraform, Kubernetes
AI/ML: Langchain, OpenAI, Anthropic, and Cohere
💼 Work environment:
We love to work in-person in our downtown Brooklyn office.

We have a high bar for hiring and account for that with above-market compensation including cash, equity, and benefits 😃

About Credal.ai
At Credal, our mission is to Harness AI for everyone building a better future. We're a hyper-growth, well funded startup building an extraordinary team of thoughtful doers that can shape the future of the AI industry. With strong funding from great investors, we have the runway to navigate market fluctuations while making ambitious bets on our product vision.

Credal has built the industry’s easiest-to-use and most secure RAG platform along with configurable Copilots for custom AI workflows. Our AI development platform enables enterprises to rapidly unlock value from their private data sources for their employees and customers, all while enforcing appropriate access and security controls.

You can read more about our company on our Cultural Principles.

Nithin Tammishetti

Karan Reddy

Cuauhtemoc Ojeda

Samuel Butler

Harmonic is the startup discovery engine. We believe in innovation, entrepreneurs, and efficient capital markets. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the index and tools that ensure the most promising founders get found and funded. Our team has been growing fast, and we're now looking for a Senior Software Engineer to join our Evaluation team in New York!About the Evaluation teamThe Evaluation team helps make Harmonic the primary source of information for evaluating potential investment deals through easily accessible, relevant, and accurate people, company and investor data. To learn more about the team:<ul><li>Explore&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.notion.so/Working-with-Sang-60672c4041a04021b8539f8e1d4d43ef?pvs=21">Working with Sang</a>&nbsp;to understand decision-making processes related to the engineering function.</li><li>Who's currently on the team: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/kennyxu/">Junfeng (Kenny) Xu</a>,&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/austinberke/">Austin Berke</a><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/josephsw/">, and Joseph Wang!</a></li><li>Explore the&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.harmonic.ai/team">Team Page</a>&nbsp;to get acquainted with the rest of the company.</li></ul>

Senior Software Engineer, Evaluation

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.

Will Cray

Maxwell L.

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.

Hybrid with office in San Francisco (3 days a week expected, commute covered)

Seeking TypeScript pro with deep SQL skills for on-site Menlo Park team at Pylon. Must have backend prowess beyond CRUD, experience with expressively typed languages like Scala or Haskell, and thrive in startup settings. Visa sponsorship available. Ready to start immediately. Passion for coding a must.

Vivek Krishnakumar

Austin Tasato

Alice Poteat

Michael Goldman

Pylon is the mortgage-as-a-service platform that enables enterprises to build and offer mortgage credit products on top of our APIs. We are on a mission to unlock access to America’s largest asset class.We build and deliver the underlying pipes that enable high growth companies and forward-thinking institutions to offer mortgage products to their customers. We’re taking an ambitious full stack approach – we provide everything required to go from taking a loan from application in the customer’s product environment to delivering loans to the capital markets.We’re backed by leading investors including Conversion Capital, Peter Thiel, QED, Fifth Wall, and the founders of Blend, Wealthfront, Ramp, and AngelList.

Pylon Lending

At Pylon, we’re a small team building a very ambitious product in the mortgage space.At this early stage, we’re looking for engineers who can see the opportunity of what we’re building towards and want to have a hand in building it.We're in search of people who find difficult problems invigorating and who fit well into a high-performing team built on mutual respect and reliance. If you like pushing yourself to learn a massive amount while shipping code that has a huge impact on the end product, Pylon Engineering could be a great place for you.

Generalist Software Engineer

San Francisco-based **Software Engineer**. **On-site** work, no visa sponsorship. **2-12 years** experience, startup background preferred. Proficient in **Python, Go, or Typescript**; SQL knowledge, Infrastructure-as-Code familiarity. Backend-focused (80/20). Design and maintain AI-centric features; improve devX, onboarding; handle production issues. Salary: $140K-$225K.

Kathy Huang

Kanu Gaba

Dosu makes engineering knowledge accessible to everyone. Like an engineering teammate, Dosu uses its understanding of code and code changes to answer undocumented questions from sales, triage customer-facing bugs with support, collaborate on release notes with product, and more.

Dosu

Design, build, and own AI-centric features that unblocks tens of thousands of engineers and gives teams countless of hours back.This is a fullstack role, but very backend-leaning (80/20)

About the job
Dosu is an AI teammate that acts as the first line of defense for ad-hoc engineering requests, protecting engineers from unnecessary interruptions and unblocking team members.

About Us
We are a small team of engineers excited by AI’s potential to reshape how products are developed, supported, and maintained
We love open source
Dosu has been installed on thousands of open source GitHub repositories and has given hundreds of hours back to open source maintainers and their communities
We like to delight users
We care about building an enduring business
We have an office in San Francisco near Hayes Valley
We've raised over 9M from investors and angels
Who You Are
You are a thoughtful engineer and teammate
You are energized by ambiguous, difficult problems and working with new technologies
You care about developer productivity
You seek to reduce entropy
You have a strong sense of ownership and you're comfortable driving the development of an entire part of the product
You have the ability to manage your own time and roadmap effectively
You've found ways to adopt AI into your day-to-day workflows
You are based in the Bay Area or willing to re-locate to SF
You may have read Designing Data Intensive Applications
What You’ve Done
4+ years working as a full-time engineer
Designed, implemented, and maintained production services
Served as a tech lead or technical mentor
Proficient in one of: Python, Go, or Typescript
Experienced with SQL
Familiar with Infrastructure-as-Code
What You’ll Do
Day 5
Push fixes and improvements to production
Improve the devX and onboarding process for future hires
Become familiar with Dosu’s platform architecture
Review the agent architecture
Lunch with the team
Day 30
Ship new features to production
Collect evaluation data from Dosu's production activity
Understand the product roadmap and the pain-points of our customers
Actively reviewing other team members code
Participate in on-call and triage production issues
Present about yourself the company-wide meeting
Day 90
Own end-to-end implementation of new features and backend services
Work across the stack, everything from indexing to infra to agent architecture
Implement new ML tasks to enhance Dosu's ability
Contribute ideas to the product roadmap
Advocate for engineering excellence
Become involved in the recruiting process and help find more amazing people like yourself!
What You’ll Get
Competitive salary and equity stake for role and stage of company. Commensurate with experience.
$140-$200k base salary
0.2-0.5% equity
Unlimited PTO
Healthcare Insurance
401k

Elegant, pragmatic engineer; write good code fast. Built AI agents or engaged in AI community. Quick promotions, startup/high-growth experience preferred. Impressive achievements. Work at real tech company. Responsibilities: React page for debugging, REST API for authentication, passkey support. Location: SF/NYC. On-site. Visa sponsorship available. Salary: $155k-$225k.

Arvind Radhakrishnan

Come make AI agents talk to other business systems. We make authentication layer for things like MCP and tool calling. This makes AI agents 100x more powerful in work settings and empower use cases from engineering to finance to sales &amp; marketing. Fresh funding &amp; fast growing ARR. You'd be part of an early team that is on a rocket trajectory &amp; would be part of a historical launch. You see some of the fastest growing AI startups as our clients and work on extremely fun &amp; challenging tech.

Statics

At Statics, we believe building a successful AI agent involves three key data layer pillars:<ol><li>Discovery: Identifying the data an agent needs to perform effectively and determining where this data is stored.</li><li>Authentication: Securely obtaining the necessary credentials for agents to access information.</li><li>Ingest: Cataloging and organizing the accessed data, and defining its governance.</li></ol>We believe all three pillars are critical, and we are actively developing solutions at the second pillar today.&nbsp;As a Software Engineer at Statics, you will be an essential part of the product development dialogue, working to enhance the developer experience in helping AI agents access the right data.

Software Engineer at Statics 

Statics is building the identity system for AI agents, allowing them to authenticate like humans so they can access data that’s available to people but not to APIs.

We’re a team of engineers who have built and hacked global-scale identity systems, backed by a16z and the founders and investors of leading startups and major identity companies.
About This Role
At Statics, we believe building a successful AI agent involves three key data layer pillars:

Discovery: Identifying the data an agent needs to perform effectively and determining where this data is stored.
Authentication: Securely obtaining the necessary credentials for agents to access information.
Ingest: Cataloging and organizing the accessed data, and defining its governance.

We believe all three pillars are critical, and we are actively developing solutions at the second pillar today. 

As a Software Engineer at Statics, you will be an essential part of the product development dialogue, working to enhance the developer experience in helping AI agents access the right data. Here are some features you may be working on: 
Building a React page to help developers debug an AI agent’s authentication flow
Building a new REST API route to enable developers proactive refresh authentication cookies 
Building end-to-end passkey support to give AI agents an easier time to authenticate to passkey-supporting websites 
Something you thought would help developers better adopt Statics and/or make our life easier 
About You
You are elegant yet pragmatic in your engineering approaches. 
Write good code, fast. 
You have some kind of spike: did exceptional work at a previous company, identified and joined a top startup early, excelled at a top school, or something else impressive
Bonus point: you have built AI agents before (even in hackathon projects) or are highly engaged in the AI developer community


Engineering Stack
Since many folks have asked, we are including our current stack here. It is not necessary to have experience with it. We care more about your engineering fundamentals and good intuitions. 

Backend: TypeScript with NestJS framework and Prisma ORM. 
Frontend: React 
About Statics
From engineering to healthcare, AI agents are transforming how people work. The most rapidly growing AI products access business systems (like ERP, CRM, etc.) to extract insights. However, agents currently can’t operate like humans – APIs are too restrictive, and hard-coded RPAs are too brittle. Statics is creating the foundational blocks to enable agents to authenticate and interact with systems just as humans do.

Join us to shape the identity future for AI agents.


In-person in San Francisco or NYC. Remote possible for very exceptional candidate with legitimate reason (visa or kids.)

Technical Requirements: Startup & research experience, analytical field background, full stack ML skills (Python, TensorFlow, PyTorch), expertise in NLP, Deep Learning, Anomaly Detection, Transformers. Responsibilities: Train production models for sales use cases, align strategy with performance/cost. Location: San Francisco. Work Type: Hybrid. Visa: Sponsorship available.

Janvi Palan

Mamon A.

Thomas Pumir

The roleNote: Exact job title will be commensurate with experienceWe 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 our first Machine Learning Engineer. 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.Examples of engineering problems you may touchThese 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!<ul><li>Realtime audio AI &amp; precision/recall/latency tradeoffs (algorithms &amp; models)<ul><li>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.</li></ul></li><li>Smart call funnels &amp; playbooks (data wrangling, backend eng, GPT-3, UX)<ul><li>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 &amp; feedback loops.</li></ul></li><li>Conversation embeddings &amp; markov models (ML modeling)<ul><li>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?</li></ul></li></ul>

Applied Machine Learning Engineer

Senior Backend Engineer needed in SF or NYC, on-site. Must have strong Python skills, RESTful API expertise (FastAPI, Pydantic), cloud experience (Kubernetes, EKS), and familiarity with video standards (MP4, HLS, FFMPEG). Experience with AWS tools (SQS, Kafka) and event streaming a plus. No visa sponsorship available. $160K-$225K.

Theo Gugoiu

Hedra is a pioneering video foundation model company founded by former Stanford PhDs and backed by top investors at Index, A16Z, and Abstract Ventures. We're building a full-stack creation studio capable of control, emotion, and creative intelligence.We raised 10 million dollars in our seed round to revolutionize content creation. Our flagship product, the Character foundation model, launched in late June and garnered <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.forbes.com/sites/charliefink/2024/08/01/hedra-gen-ai-video-launches-with-10-million-in-seed-funding/">national attention</a>, landing us on the top of Reddit (multiple times!) and Twitter. In early October we released <a target="_blank" rel="noopener noreferrer nofollow" href="https://x.com/hedra_labs/status/1841875930299425131">Character-2</a>, which has already produced highly creative and viral <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/reidhoffman_twenty-years-ago-i-was-about-to-pitch-linkedin-activity-7247686669150117888--ang">content</a>.

Hedra

We're a foundation model company that focuses on character generation. Our video model, Character-2, is capable of turning text and images into longform videos of expressive, emotional performance. 

Unlike other video companies, we're building the whole stack from the video model, to the audio, to the underlying intelligence necessary to drive a compelling performance.

In the long-term, we want to build the platform for automating asynchronous video communication.

As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our transformative products, including Create, Stylize, and Studio. You will work with web and video standards to power our suite of web-based video and audio creation / editing tools. You will also dive deep into video container formats and streaming protocols, such as MP4, MKV, HLS, and MP-DASH, and work with tools such as FFMPEG.You will also work on building and deploying backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic.You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We’re looking for full-time hires for our New York or San Francisco offices.

Senior Backend Engineer

Full-stack Engineer in SF, hybrid 3 days/week, no visa sponsorship. Must have CS degree from top university, 3-6 years experience. Proficient in Typescript/React/Node. Experience with deployment issues, hackathons, fast-paced environments, and building products 0-1. Former founder or early-stage startup experience preferred. Salary: $120k-$250k.

Replo helps companies sell on the internet. Today, our platform helps ecommerce businesses automate performance marketing with data and AI agents.Founded in 2021 by Yuxin Zhu and Noah Gilmore, we've experienced rapid growth, surpassing 1,000 paying customers in just six months.We are hiring a mid to senior/staff level full-stack engineer to join our team in-person 3 days/week in San Francisco and focus on shipping products.

Software Engineer (Full-Stack)

At this time, Replo is unfortunately unable to support employees on visas.

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