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<h3>Job Description</h3>
Job DescriptionFounding AI Frontend Developer | naptha.ai
About the role: We are seeking a talented frontend developer to join our team as a founding member, focusing on rapidly developing and deploying dynamic user interfaces for products built on our custom multi-agent system stack. This role involves creating intuitive, responsive, and powerful interfaces that enable users to interact seamlessly with our AI systems. The ideal candidate will have expertise in modern frontend development, UI/UX design principles, and experience with real-time web applications and AI-powered interfaces.
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Design and implement intuitive, responsive interfaces that effectively visualize complex AI agent interactions and workflows
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Develop and optimize React/JavaScript applications that support AI-driven user experiences
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Rapidly prototype and iterate on UIs based on user feedback and evolving product requirements
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Work closely with our AI engineering team to ensure frontend components effectively leverage our multi-agent system capabilities
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Create reusable UI components and establish frontend architecture patterns for future development
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Implement real-time data visualization and interaction patterns that help users understand and control AI agent behaviors
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Ensure high performance, accessibility, and cross-browser compatibility of all user interfaces
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Contribute to the overall product vision and help define the user experience of our multi-agent systems
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In this role, you're a good fit if you have:
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Bachelor's degree in Computer Science, Software Engineering, Web Development, Design, or related field
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3+ years of experience in frontend development with a strong portfolio demonstrating expertise in React, TypeScript, JavaScript, Vue, or similar modern frontend frameworks
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Experience with state management libraries (Redux, MobX, Zustand), responsive web design, and building complex interactive user interfaces
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Strong understanding of UI/UX design principles, HTML5, CSS3, and best practices for AI-driven applications
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Familiarity with WebSocket, GraphQL, REST APIs or similar technologies for real-time data handling
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Experience with data visualization libraries (D3.js, Chart.js, Three.js, etc.)
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Knowledge of frontend build tools and workflows (Webpack, Vite, npm, yarn)
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Strong problem-solving skills and ability to work in a fast-paced startup environment
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Excellent communication skills and ability to collaborate with cross-functional teams
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Passion for AI technologies, LLMs, and human-AI interaction paradigms
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About the hiring process:
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Video interview with hiring manager
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Take-home project
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Presentation of take-home project to panel
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Interview with co-founders
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</ul>
Compensation &amp; Benefits:
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Competitive salary and equity stake for role and stage of company
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Commensurate with experience
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</ul>

Founding AI Frontend Developer

<h3>Job Description</h3>
Job Description
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. As someone who could design and build software, this position is close to my heart. I always felt I had a unique perspective because I could play with design ideas and iterate in code. My ideas could start in Figma but then be grounded (or sometimes more creative) in code. My prototypes used actual logic and data. My changes cascaded throughout the app for comprehensive critique (thanks, React component system!). But, every company made me pick one —I couldn’t design and build. At Ashby, you can.
While every engineer can design and build, you’ll tackle our most challenging design problems and help others improve their designs by expanding and enhancing our in-house design system and consulting on bespoke work. To ground it with examples, engineers who can design at Ashby have:
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Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using it to make the wireframes a reality.
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Built a set of flexible, composable components in our design system that allow other engineers to build custom autocompletes. These autocompletes can contain filters, options to create new records, etc.
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Helped another engineer improve their design's information hierarchy and scannability for viewing a candidate’s assessments. Recruiters can quickly parse information and pick out anomalies.
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These projects reflect what we’re accomplishing at Ashby: improving the productivity of working professionals (starting with talent teams) with intelligent and powerful software. We put a lot of effort into designing products that are approachable to beginners but mastered &amp; extended by power users. In many ways, spreadsheets set the bar here.
We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing &gt;100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅.
What We’re Building
As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back.
Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help.
As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are!
Engineering Culture
Our engineering culture is motivated by Benji’s (my Co-founder and CEO) and my belief that a small, talented team, given the right environment, can build high-quality software fast (and work regular hours!). We do it through:
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Minimal process with ownership over decisions normally made by product and design
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Natural collaboration and deliberate communication
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Investing in tools and abstractions that give us leverage
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Putting effort into building a diverse team
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Minimal Process &amp; Lots of Ownership
The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise.
Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.”
At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive.
Collaboration is Natural &amp; Communication is Deliberate
Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in &lt;2h meetings per week (I wrote about it here).
To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years:
We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region.
Increase Leverage, not Team Size
We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in:
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Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾.
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Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below).
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Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby:
And a demo of one of these building blocks:
Put Effort into Diversity
Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups.
Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more.
Interview Process
At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises.
Our interview process is three rounds:
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Introduction call with Hiring Manager (15 to 30m, live)
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A technical screen where we pair in our actual codebase (1h, live)
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Three non-coding interviews that focus on product thinking, technical design, and infrastructure (3h 15m, live can be split across multiple days)
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Depending on our leadership team’s bandwidth, we may start with an additional 30m screen with a recruiter.
Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback!
Your First Three Months at Ashby
We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices. The product changes increase in scope and ambiguity from simple copy changes to the delivery of a prominent, impactful feature. Your manager will do a 30, 60, and 90-day review to give feedback and calibrate on how we work together.
It’s a team effort to get you successfully onboarded; you’ll have a peer paired with you to answer questions, pair program, and check in often to see if you need help. The rest of the team will run training sessions on our culture, product, engineering process, and technical architecture.
Technology Stack
I’m sharing our tech stack with the caveat that we don’t require previous experience in it (but a love of typed languages is helpful &amp;#x1F600;): TypeScript (frontend &amp; backend), React, GraphQL API, Node.js, Postgres, Redis.
When they joined Ashby, many of our engineers switched from other languages like Swift and Kotlin (Ben), platforms like iOS (Tom) and Windows (Sergey). We care more about fundamentals (e.g., debugging, abstractions) and how fast you learn. For folks on the team who switched, it's nice seeing changes hot reload versus waiting for XCode to compile 😅.
Benefits
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Competitive salary and equity.
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10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable.
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Unlimited PTO, and we will encourage you to take it.
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A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements.
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Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!
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$100/month education budget with more expensive items (like conferences) covered with manager approval.
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If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us.
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Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply.
Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Compensation Range: $170K - $260K

Design Engineer - Americas

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Retail &amp; Commerce AI, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to define AI solutions for retail, e-commerce, and consumer commerce industries.
What You'll Do
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Lead GTM strategy for Retail AI vertical with cloud infrastructure and AI computing solutions
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Define high-impact use cases across e-commerce, QSR, grocery, and omnichannel retail segments
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Build distribution strategies with product, engineering, and industry experts
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Drive early-stage sales from prospecting through deal structuring and onboarding
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Develop positioning, messaging, and GTM assets with cross-functional teams
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Collaborate with partners (VCs, SI, NVIDIA Riva, NeMo, Metropolis, Omniverse)
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Represent the company at industry events and thought leadership forums
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What You Bring
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Track record in GTM roles across AI, cloud, retail tech, or e-commerce enablement
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Deep familiarity with AI use cases in commerce: LLMs, recommender systems, visual AI, agentic tools
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Experience launching new markets, products, or verticals from 0 to 1
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Strong sales skills and ability to engage C-level stakeholders
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Experience building strategic partnerships with ecosystem leaders like NVIDIA
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Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
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Bonus: Startup founder experience, GPU platform familiarity, industry network
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Key Success Drivers
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Executive presence with healthy assertiveness and collaborative leadership
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Intellectual curiosity about AI use cases in commerce
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Comfort in dynamic, high-growth environments
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Innovation-focused with cross-functional collaboration skills
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Professional maturity and transparent communication
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Why Join?
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Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
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100% company-paid medical, dental, vision for employees and families
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Flexible remote work environment
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401(k) with 4% match, disability/life insurance
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20 weeks parental leave (primary), 12 weeks (secondary)
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Up to $85/month for mobile and internet
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Opportunity to work with cutting-edge AI and cloud technologies
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Contribute to sustainable AI infrastructure with energy-efficient data centers
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Be part of a team that operates one of the most powerful commercially available supercomputers
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Interviewing Process
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HR Screening
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Level 1: Hiring Manager interview (General fit)
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Level 2: Interview with Head of Product (In-depth)
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Level 3: Interview with Head of Sales (In-depth)
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Level 4: Case Study
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Reference and Background Checks: conducted after successful interviews
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Job Offer: provided to the selected candidate
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We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Retail & Commerce AI (AI Infra)

<h3>Job Description</h3>
Job DescriptionSoftware Engineer (Intern) | naptha.aiAbout this role
We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure. This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents. As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform.
What You'll Do
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Build and improve components of our agent infrastructure
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Work on real features that ship to production
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Collaborate with experienced engineers and researchers
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Learn about large-scale AI systems and infrastructure
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Contribute to our agent development platform
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Gain experience with cutting-edge AI tools and frameworks
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Technical Areas
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Backend development with Python and modern frameworks
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Agent system implementation and testing
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API development and integration
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Performance optimization and monitoring
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Infrastructure and tooling development
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Testing and deployment automation
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Requirements
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Currently pursuing BS/MS in Computer Science or related field
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Strong programming skills, particularly in Python
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Basic understanding of AI/ML concepts
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Experience with software development practices
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Ability to work independently and learn quickly
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Strong problem-solving abilities
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Nice to Have
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Experience with AI frameworks or tools
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Familiarity with distributed systems
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Open source contributions
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Experience with developer tools
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Interest in AI infrastructure
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About the internship
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Duration: 12-16 weeks
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Location: Remote
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Competitive compensation
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Real-world project ownership
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Mentorship from experienced engineers
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Opportunity for return offers
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This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You'll gain practical experience building systems that power the next generation of AI applications.

Software Engineer (Intern)

<h3>Job Description</h3>
Job DescriptionAbout LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
 At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
About Engineering at LILT
Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. 
Where You’ll Work
This position can be based out of our Indianapolis, IN office and will be expected to work in the office in a hybrid capacity. Additional locations include the Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
Authorization to work in the US is a precondition of employment.
What You’ll Do
As a Staff Full Stack Software Engineering - Connect, you will work with a group of talented, mission-driven colleagues to define, drive, and execute projects on Lilt’s Connect API and connectors platform–the front door to our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. Connect is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities.
You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows.
Skills &amp; Experience
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Bachelor of Science or Masters of Science in Computer Science (Masters preferred)
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7+ years of professional experience as a Fullstack engineer
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Experience leading an engineering team in a technical capacity (e.g. not a manager of people)
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Experience working on large-scale, distributed software systems
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Proficient with backend technologies such as Python and Java
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Experience with React or other associated libraries, JavaScript, CSS, and HTML
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Solid relational database knowledge and significant experience with very large MySQL installations are highly valued
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Basic knowledge of NLP and machine learning techniques is highly valued
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Professional fluency in English
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Benefits:
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Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays
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Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
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Paid parental leave is provided after 6 months.
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Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
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</ul>
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.
 
Our Tech
What sets our platform apart:
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Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
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Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
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100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
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Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
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</ul>
 LILT in the News
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Featured in The Software Report’s Top 100 Software Companies!
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LILT makes it onto the Inc. 5000 List.
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LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
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Check out all our news on our website.
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</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $136K - $180K

Staff Full Stack Engineer

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
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Company type: Publicly traded
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Industry: AI/ML, Cloud Computing, Infrastructure-as-Code
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Candidate Location: Remote U.S.
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Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll Do
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Architect and optimize distributed training and inference systems for large-scale AI models
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Design and deliver customer-focused solutions that maximize performance and business value
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Lead the transition of ML pipelines from POC to scalable production systems
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Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
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Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
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Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
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Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
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</ul>
What You Bring
<ul>
<li>
5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
</li>
<li>
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
</li>
<li>
Demonstrated success delivering ML products, scaling from POC to production
</li>
<li>
Deep knowledge of ML frameworks like PyTorch and JAX
</li>
<li>
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
</li>
<li>
Exceptional communication skills to engage both technical teams and business stakeholders
</li>
<li>
Legal authorization to work in the United States on a full-time basis without sponsorship
</li>
</ul>
Preferred Technical Skills
<ul>
<li>
Programming Languages: Python, Go, Java, C++
</li>
<li>
Infrastructure as Code (IaC): Terraform, Ansible
</li>
<li>
Orchestration: Kubernetes (K8s), Slurm
</li>
<li>
DevOps Tools: Git, Docker, Helm
</li>
<li>
Big Data Frameworks: Spark, Kafka, Hadoop
</li>
<li>
Databases: SQL, NoSQL, and vector databases
</li>
<li>
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location)
</li>
<li>
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
</li>
<li>
401(k) plan with a 4% match program
</li>
<li>
Stock options plan
</li>
<li>
Flexible remote work environment
</li>
<li>
Company-paid short-term, long-term disability, and life insurance coverage
</li>
<li>
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
<li>
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
</li>
</ul>
Interviewing Process
<ul>
<li>
Level 1 - Interview with Talent Acquisition&nbsp;
</li>
<li>
Level 2 - Interview with the Hiring Manager
</li>
<li>
Level 3 - Technical Assessment
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud)

<h3>Job Description</h3>
Job Description
An early-stage robotics and AI startup is seeking an entrepreneurial Chief Technology Officer (CTO) and Co-Founder to lead the development of cutting-edge AI solutions for robotic systems, making it easy for companies to apply physical AI to robotics. We focus on robotic manipulation with a mission to help engineers seamlessly integrate AI into real-world robots and drastically reduce the cost and complexity of robot programming and deployment compared to traditional methods. This role offers a unique opportunity to shape our technical vision and turn cutting-edge research into impactful products.
About the Role
They are seeking an experienced and entrepreneurial Chief Technology Officer (CTO) to join as a co-founder and lead the development of our AI-driven robotics solutions. In this role, you will define and execute the technology roadmap, driving innovation at the intersection of generative AI and robotics. The ideal candidate is a passionate, hands-on leader with deep expertise in software engineering and AI (especially in robotics). They excel at translating a shared product vision into actionable technical requirements and can guide the company through early challenges and rapid growth.
Location: Boston, MA - Hybrid Onsite
Key Responsibilities
<ul>
<li>
Technical Leadership Design and oversee the development of scalable AI infrastructure for robotics applications.
</li>
<li>
Build, mentor, and scale a technical team
</li>
<li>
Lead product development and drive innovation from prototypes to production in the application of physical AI to robotics
</li>
<li>
Lead and manage a team of contractors, growing the technical team as the company scales.
</li>
<li>
Foster a collaborative, startup-oriented culture to achieve technical milestones.
</li>
<li>
Represent the company in investor and strategic conversations
</li>
<li>
Provide technical insights and demonstrate a clear vision for the product roadmap and market applications.
</li>
<li>
Inform and refine product-market fit through customer and field engagement
</li>
<li>
Collaborate with co-founder to ensure alignment with strategic goals.
</li>
<li>
Work hands-on with early customers on pilot deployments and feedback loops
</li>
<li>
Stay current on advances in robot foundation models (RFMs), Imitation Learning (IL), and Vision Language Action (VLA) AI models.
</li>
</ul>
 
Qualifications
<ul>
<li>
Strong background in software engineering, AI development, and infrastructure design
</li>
<li>
Advanced degree (PhD preferred) in Computer Science, Robotics, or a related discipline, or equivalent practical experience in AI-focused software engineering
</li>
<li>
Deep knowledge of AI for robotics, including foundation models and generative AI
</li>
<li>
Industry experience with robotics, manipulation, and/or automation systems preferred
</li>
<li>
Demonstrated ability to lead teams ideally in early-stage, high growth environments
</li>
<li>
Strong communication and collaboration skills with both technical and non-technical audiences
</li>
<li>
Grit, passion, and conviction to navigate challenges and drive long-term success
</li>
</ul>
Don't meet all of the requirements? Apply and drop a note as to why you think you'd be a great fit!
Ph.D. candidates or researchers transitioning into startup roles are welcome to apply.
Our client is unable to sponsor visas at this time.

CTO/ Co-Founder

<h3>Job Description</h3>
Job Description
Build the platform that will power every type of financial institution onboarding
The Prelim team is seeking a Software Engineer, Product to join our rapidly growing fully remote US team. You'll have the opportunity to architect and build the platform that handles every conceivable type of financial institution onboarding, from simple deposit accounts to complex treasury services for millions of people. If you're passionate about solving massive-scale engineering challenges and eager to be part of a fast-paced remote startup culture, we encourage you to apply to join our team today!
As a Software Engineer, Product at Prelim, you will own critical parts of the platform that powers digital onboarding for financial institutions across the world. You'll work directly with our customers, product team, and engineering leadership to build systems that handle everything from online deposit account opening to in-branch experiences, account maintenance, treasury services onboarding, credit card applications, and every other type of financial institution onboarding imaginable.
This isn't just another full-stack role, it's the chance to build the infrastructure that millions depend on. Key Responsibilities: Architect and build features across our entire stack, from React frontends to Node.js APIs to PostgreSQL databases, handling massive scale and complexity.
<ul>
<li>
Design and implement onboarding flows for every financial service imaginable, deposits, loans, treasury services, credit cards, business accounts, and emerging financial products.
</li>
<li>
Build systems that seamlessly integrate with legacy bank infrastructure, core banking systems, and third-party compliance providers.
</li>
<li>
Solve complex technical challenges around multi-tenant architecture, real-time data processing, and bank-grade reliability requirements.
</li>
<li>
Work directly with major banks to understand their unique onboarding requirements and translate complex business logic into elegant technical solutions.
</li>
<li>
Build both customer-facing applications and internal tools that bank employees use in branches and call centers.
</li>
<li>
Own the performance, scalability, and reliability of systems processing millions of applications across hundreds of different banking products.
</li>
</ul>
Qualifications:
<ul>
<li>
Experience with modern web technologies (React, Node.js, PostgreSQL preferred). Whether you're a new graduate with impressive projects or an experienced engineer, we want to hear from you.
</li>
<li>
Strong system design skills and experience with scalable architectures, you'll be building systems that need to handle rapid growth.
</li>
<li>
You thrive on solving complex technical problems with business context. You can break down complicated banking requirements and build elegant solutions.
</li>
<li>
You care about business impact and can balance technical excellence with shipping features that move the business forward.
</li>
<li>
You think deeply about user experience, whether you're building for bank customers opening accounts or bank employees processing applications.
</li>
<li>
You communicate technical concepts clearly to both engineering teammates and non-technical stakeholders, including bank executives.
</li>
<li>
You're excited about working directly with customers, understanding their complex needs, and iterating quickly based on feedback.
</li>
<li>
You want to own significant parts of the product and help shape technical decisions as we scale.
</li>
</ul>
Why Prelim?
At Prelim, you'll join a remote-first company experiencing explosive growth, doubling revenue year-over-year while maintaining profitability. This is a dynamic environment where you'll need to be comfortable with ambiguity and rapid change.
You'll be part of a small but mighty engineering team that punches above its weight. While the workload can be intense, you'll have the opportunity to make a real impact and grow your career quickly. We promote from within and invest in our people's development.
Most importantly, you'll help democratize access to banking services. Your work ensures that financial institutions can effectively serve their communities through modern, accessible technology.
Compensation Range: $110K - $140K

Software Engineer

<h3>Job Description</h3>
Job Description
🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end.
2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history.
And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article.
&amp;#x1F4BB; About the opportunity
We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model &amp; predict user behavior, leverage LLMs and custom-built components to optimize our chatbot &amp; voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years!
We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more.
🫵 How you will make an impact
<ul>
<li>
Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives
</li>
<li>
Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
</li>
<li>
Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
</li>
<li>
Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
</li>
<li>
Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai
</li>
</ul>
🚀 Requirements
<ul>
<li>
PhD in Physics or related field
</li>
<li>
5+ years of experience building and deploying models from scratch.
</li>
<li>
Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch.
</li>
<li>
Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions.
</li>
<li>
Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives.
</li>
</ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. 
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at <a href="mailto:recruiting@jerry.ai" target="_blank">recruiting@jerry.ai</a>
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. 
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.&nbsp;
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.&nbsp;
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Compensation Range: $180K - $240K

Staff Applied Data Scientist (PhD)

<h3>Job Description</h3>
Job Description
🚗 Why us? 
Jerry.ai is a fast-growing, pre-IPO startup on a mission to revolutionize the $2T car ownership industry in the U.S. With $240M in funding, 60X revenue growth in 5 years, and an ambitious plan to become a $10B company, we’re looking for driven individuals to help scale our product.
2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history.
Join a talented team with leaders from NVIDIA, Robinhood, Amazon, Meta, ByteDance, Square, and more, and build one of the most exciting startups in the industry.
And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article.
&amp;#x1F4BB; About the opportunity
We are seeking a purpose-driven Senior Backend Engineer to work on a critical, stealth project on our DriveShield™ team to enhance driver safety and make a real-world impact on the lives of millions. 
You will play a key role in building scalable and high-performance backend systems that power Jerry.ai’s explosive growth. This is an exciting opportunity to be part of the team that that helps us go from 5M to 50M customers and disrupt a $2T market while driving innovation at scale.
🫵 How you will make an impact
<ul>
<li>
Focus more on the non-functional requirements of backend applications, including service availability, scalability, reliability (fault tolerance), and possibly observability and security
</li>
<li>
Oversee system design and architecture to ensure robust and scalable solutions
</li>
<li>
Develop and optimize real-time data processing applications using Kafka and Flink
</li>
<li>
Profile and optimize application performance
</li>
<li>
Focus on the application side, collaborating with data scientists to deploy and integrate models in production
</li>
<li>
Handle data processing, sanitization, validation, and data QA
</li>
</ul>
🚀 Requirements
<ul>
<li>
5+ years of software engineering experience
</li>
<li>
Proficient in at least one core language (e.g., Java, Python, Go, JavaScript)
</li>
<li>
Expertise in Kafka Streams, Flink or similar real-time data processing frameworks 
</li>
<li>
Experience building real-time data processing applications
</li>
<li>
You are known for shipping products and features lightning-fast
</li>
<li>
Startup experience at a high-growth company (nice to have)
</li>
<li>
Bonus if you have previous knowledge of working with geospatial data
</li>
</ul>
Our tech stack 
<ul>
<li>
Java and sometimes Python
</li>
<li>
Stream processing: Kafka and Flink
</li>
<li>
Hosting infra: AWS
</li>
</ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. 
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at <a href="mailto:recruiting@jerry.ai" target="_blank">recruiting@jerry.ai</a>
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. 
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai:
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.&nbsp;
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.&nbsp;
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

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