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<h3>Job Description</h3>
Job Description
About the Role: CloudZero is seeking an Engineering Co-op to join Team Dev/Null (Insights), the group responsible for building and maintaining several core areas of the CloudZero product, including the new Optimize feature. The Optimize feature provides actionable insights and concrete recommendations for managing cloud spend, as well as a dashboard of actual realized savings. The /Dev/Null team is also responsible for the Cost Formation language, Views, and Slack Integration, among other areas.
This co-op role is designed to provide real-world software engineering experience by embedding you directly within a high-impact team. You’ll contribute to production systems, work alongside experienced engineers, and play a key role in solving meaningful engineering challenges.
Location: Boston, MA (In-office 3+ days/week) Duration: January–June 2026 (Spring semester)
If you’re curious about working in a serverless environment on API-driven back-end systems and eager to learn from an experienced and supportive team, this opportunity is for you.
What You’ll Do:
<ul>
<li>
Build and enhance features that help customers understand their cloud spend and opportunities to manage that spend
</li>
<li>
Own a scoped technical project for the first ~3 months of your co-op and see it through from design to delivery
</li>
<li>
Collaborate with engineers, product managers, and your mentor on solutions that ship to real customers
</li>
<li>
Participate in team rituals like standups, refinement, planning, retros, and demos
</li>
<li>
Contribute to internal improvements - from monitoring and testing, to documentation and automation
</li>
<li>
Transition into the team's day-to-day engineering work for the second half of your co-op
</li>
</ul>
What You’ll Have:
<ul>
<li>
A 2nd or 3rd year Computer Science undergraduate co-op student (Northeastern University, Spring 2026 cycle)
</li>
<li>
Solid foundation in programming fundamentals (data structures, algorithms, etc.)
</li>
<li>
Exposure to backend languages like Python or Go (schoolwork or personal projects is great!)
</li>
<li>
Comfortable in a Linux-based development environment and using git
</li>
<li>
Excited to work on real-world systems and contribute to team outcomes
</li>
<li>
Curious, collaborative, and eager to learn - you ask questions and take ownership
</li>
</ul>
What You'll Learn:
This is not a throwaway or shadowing role. Your work will ship to production, impact real customers, and matter to the team. You'll be supported by a dedicated manager, an assigned mentor, and a culture that values pairing, feedback, and experimentation.
<ul>
<li>
How modern cloud-native systems operate at scale using technologies like AWS Lambda, Step Functions, DynamoDB, and Snowflake
</li>
<li>
How to write production-ready code and deploy it safely to real systems
</li>
<li>
How cross-functional product teams collaborate to deliver customer-facing value
</li>
<li>
What it's like to work in a professional engineering environment - from code review to incident response to celebrating a feature launch
</li>
<li>
A strong understanding of how production systems are built and operated
</li>
<li>
Experience working in a real engineering team on an active product
</li>
<li>
A project you can confidently talk about in future interviews (with real technical depth)
</li>
</ul>
Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.

Engineering Co-Op (Spring) - Insights Team

<h3>Job Description</h3>
Job DescriptionAbout Yuma AI:
Yuma is building a complete orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce. We are one of the leaders in this space and we offer one of the most advanced platforms to date, supporting over 150 paying customers. Our agents replicate human capabilities by taking actions and retrieving information from external services as needed.
Our top merchants automate over 80% of their support tickets through Yuma.
Yuma was founded byGuillaume Luccisano, a 3rd time YC founder, and now boasts a team of 20 highly dedicated talents. We are in our 10th consecutive month of double-digit growth and aim to multiply our revenue by 4 in 2026.
Role Overview
We remain a small team of 5 engineers, but we are intense and we move very quickly! Fast iteration is key. In the past 2 years since Yuma’s founding, we’ve built a lot, but there is still much more to do! We operate at startup speed and handle everything: product iterations, A/B testing, LLM research, AI Agents pipeline, new feature development, performance optimizations, and more. We are intensely focused on delivering value to our users and on product excellence. That is the only thing that matters.
Our backend is a standard Ruby on Rails API powered by PostgreSQL, Redis, and Sidekiq. Our frontend uses Next.js and React. We already handle a significant load, ingesting and processing millions of support tickets per month and millions of e-commerce data points per day.
We are definitely not a 9-to-5 team, and we are heavily committed to delivering excellence throughout our craft.
The ideal You:
You have led and built multiple large Rails applications, and you always strive for excellence. You are pragmatic, making the right trade-offs that favor speed of iteration while maintaining high product quality. You are driven by delivering the best experience and value to your users. You might have a preference for working on backend projects, but you aren’t afraid of frontend work. Rails has no secrets for you.
Recent experience playing with LLMs is now mandatory, and you have already adopted AI in your day-to-day tasks. Building with LLMs and managing non-deterministic output is not scary to you.
If you are relentless, deeply caring about delivering value &amp; ownership, and looking to join an early, hard-working team, we want you 👈. We are seeking someone who is looking to embrace a new challenge and commit to it 100%.
Your diploma doesn’t matter to us; we only care about your skills, your sense of ownership, and drive.
The Alternative You:
If you’re still junior, but the description above sounds like the person you aim to become in the next 3 years, don’t be shy: there’s always space for raw talent at Yuma.
OUR CULTURE
Please, if you are considering applying, first read our culture page: <a href="https://www.notion.so/yuma-ai/Yuma-s-Culture-5b0e15f1334242ce8a62daab9f2038a1?pvs=4" target="_blank">https://www.notion.so/yuma-ai/Yuma-s-Culture-5b0e15f1334242ce8a62daab9f…</a>

AI Solution Engineer - Full-stack / Rails Engineer (VIE BOSTON)

<h3>Job Description</h3>
Job DescriptionGTM Engineer (Full-Stack) | naptha.aiAbout this role
Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers.
Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment.
<ul>
<li>
Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages
</li>
<li>
Work directly with the founders on small bet initiatives from idea to shipped product
</li>
<li>
Integrate our AI technology into real-world use cases and showcase its value to developers
</li>
<li>
Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels
</li>
<li>
Implement lightweight analytics to measure outcomes and iterate quickly
</li>
<li>
Collaborate with backend engineers and product to ensure velocity and alignment
</li>
<li>
Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks 
</li>
</ul>
Why Join Us
<ul>
<li>
Shape how our product gets into the hands of developers and how it evolves with them
</li>
<li>
Work directly with the founding team in a no-red-tape environment
</li>
<li>
Own projects end-to-end, from idea to implementation to impact
</li>
<li>
Be one of the first hires in a company built on technical excellence and fast iteration
</li>
</ul>
In this role, you’re a good fit if you have:
<ul>
<li>
3–6 years of experience as a full-stack engineer, ideally in early-stage startups
</li>
<li>
Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.)
</li>
<li>
Experience working with APIs, SDKs, or developer tooling is a big plus
</li>
<li>
Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code
</li>
<li>
Comfort jumping on calls with users, writing docs, or implementing quick fixes in production
</li>
<li>
Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools
</li>
<li>
Bonus: Experience in growth engineering, developer advocacy, or building for developers
</li>
<li>
Bonus: Experience working in an environment driven by experimentation and iteration
</li>
</ul>
About the hiring process
<ul>
<li>
Video interview with hiring manager
</li>
<li>
Take-home project
</li>
<li>
Presentation of take-home project to panel
</li>
<li>
Interview with co-founders
</li>
</ul>
Compensation &amp; Benefits
<ul>
<li>
Highly competitive salary and significant equity stake
</li>
<li>
Role and compensation scaled to your experience
</li>
<li>
Remote-first work environment
</li>
<li>
Full medical, dental, and vision coverage
</li>
<li>
Flexible PTO policy
</li>
<li>
Learning and conference budget
</li>
</ul>
We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you.
Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

GTM Engineer (Full-Stack)

<h3>Job Description</h3>
Job DescriptionAI Agent Developer Evangelist | naptha.aiAbout this role
We are seeking an exceptional AI Agent Developer Evangelist to build and nurture relationships with frontier AI developers and shape the future of AI agent development. This is a rare opportunity to influence the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders, 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 (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. As our Developer Evangelist, you'll be the bridge between these technical pioneers and our platform, helping shape both our technology and the broader agent development ecosystem.
Core Responsibilities
<ul>
<li>
Build relationships with frontier AI developers and AI infrastructure teams
</li>
<li>
Create technical content that showcases advanced agent development patterns
</li>
<li>
Develop and share best practices for agent system architecture
</li>
<li>
Represent Naptha at technical conferences and AI developer events
</li>
<li>
Gather deep technical feedback from the developer community
</li>
<li>
Identify emerging patterns and needs in agent development
</li>
<li>
Shape our platform's evolution based on developer insights
</li>
</ul>
Impact Areas
<ul>
<li>
Building a vibrant community of AI agent developers
</li>
<li>
Shaping the technical narrative around agent development
</li>
<li>
Creating technical content that pushes the boundaries of what's possible
</li>
<li>
Fostering collaboration between frontier AI developers
</li>
<li>
Influencing the direction of agent development standards
</li>
<li>
Helping developers solve complex agent architecture challenges
</li>
</ul>
You're a good fit if you have:
<ul>
<li>
Deep technical understanding of AI systems and agent architectures
</li>
<li>
Experience building developer communities in frontier tech
</li>
<li>
Strong technical writing and speaking abilities
</li>
<li>
Track record of creating influential technical content
</li>
<li>
Ability to understand and communicate complex technical concepts
</li>
<li>
Network within the AI development community
</li>
<li>
Passion for developer experience and education
</li>
</ul>
Required Experience:
<ul>
<li>
Hands-on experience building AI systems or developer tools
</li>
<li>
Track record of technical community building
</li>
<li>
Strong technical communication skills
</li>
<li>
Experience with AI frameworks and tools
</li>
<li>
Understanding of developer platforms and ecosystems
</li>
<li>
Public speaking and technical presentation experience
</li>
</ul>
About the hiring process:
<ul>
<li>
Technical background discussion
</li>
<li>
Community strategy presentation
</li>
<li>
Content creation exercise
</li>
<li>
Team collaboration interview
</li>
<li>
Technical communication assessment
</li>
</ul>
Compensation &amp; Benefits:
<ul>
<li>
Highly competitive salary and significant equity stake
</li>
<li>
Remote-first work environment
</li>
<li>
Full medical, dental, and vision coverage
</li>
<li>
Flexible PTO policy
</li>
<li>
Conference and travel budget
</li>
<li>
Learning and development support
</li>
</ul>
This is a unique opportunity to shape how the next generation of AI developers builds and deploys agent systems. You'll be working at the forefront of AI development, helping create the community and resources that will define the future of agent development.

AI Agent Developer Evangelist

<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 is based out of our Washington D.C area which will start as fully remote and will then be expected to work in the office to be determined in the future in a hybrid capacity.
What You’ll Do
As a Staff Fullstack Engineer, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on LILT's Linguist GUI, App Server, and backend systems. You will enable linguists to deliver truly localized experiences. Engineering 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 and Experience:
<ul>
<li>
Bachelor of Science or Masters of Science in Computer Science (Masters preferred)
</li>
<li>
4+ years of professional experience as a Fullstack engineer
</li>
<li>
Experience leading an engineering team in a technical capacity (e.g. not a manager of people)
</li>
<li>
Experience working on large-scale, distributed software systems
</li>
<li>
Proficient in React or other associated libraries, JavaScript, CSS, and HTML
</li>
<li>
Experience with backend technologies such as Java and Python
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<li>
Solid relational database knowledge and significant experience with very large MySQL installations are highly valued
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<li>
Basic knowledge of NLP and machine learning techniques is highly valued
</li>
<li>
Professional fluency in English
</li>
<li>
Authorization to work in the US is a precondition of employment.
</li>
</ul>
Benefits:
<ul>
<li>
Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
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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<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</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:
<ul>
<li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
</li>
<li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
</li>
<li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
</li>
<li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
</li>
</ul>
 LILT in the News
<ul>
<li>
Featured in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
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.
</li>
<li>
Check out all our news on our website.
</li>
</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: $141K - $165K

Senior Full Stack Engineer

<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 Physical AI solutions, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to drive Physical AI adoption across global enterprises in a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for Physical AI vertical with cloud infrastructure and AI computing solutions
</li>
<li>
Target industrial robotics, automotive OEMs, warehouse automation, and smart factory operators
</li>
<li>
Build distribution strategies with product engineering teams and industry experts
</li>
<li>
Drive enterprise sales from prospect engagement through deal closure and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Build thought leadership at industry conferences and trade shows
</li>
<li>
Lead talent acquisition and mentorship for GTM roles as the team scales
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership in AI, cloud, robotics, manufacturing, or deep tech
</li>
<li>
Success launching new products/verticals from scratch with founder-mentality ownership
</li>
<li>
Strong sales skills and ability to engage C-level stakeholders
</li>
<li>
Experience building strategic partnerships with ecosystem leaders like NVIDIA
</li>
<li>
Domain knowledge in robotics, industrial automation, or manufacturing
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
<li>
Bonus: Startup founder experience, GPU platform familiarity, industry network
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Intellectual curiosity about AI infrastructure and Physical AI applications
</li>
<li>
Comfort in dynamic, high-growth environments
</li>
<li>
Innovation-focused with cross-functional collaboration skills
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
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<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</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

GTM Lead, Physical AI (AI Infra)

<h3>Job Description</h3>
Job Description
About the Role We need someone who gets excited about building engineering teams that wrangle data at a scale that would make most databases cry. Not the kind of manager who just talks about "big data," but someone who understands the difference between processing millions of records and processing billions while maintaining sub-second query performance.
CloudZero's data platform is the beating heart of everything we do. We ingest billions of cost and usage events daily from AWS, Azure, GCP, and a growing list of SaaS and AI providers. When the fastest-growing engineering teams in the world throw their entire cloud spend at us, our pipelines don't flinch. When their CFOs need real-time cost attribution for board meetings, our warehouse delivers. This isn't batch processing your grandfather's ETL jobs; this is event-driven, serverless architecture that processes terabytes while customers watch.
You'll be running a team of 8 engineers who are solving legitimately hard problems: how do you build data pipelines that scale gracefully from startup to enterprise without architectural rewrites? How do you maintain data consistency across multiple cloud providers with different billing models? How do you optimize query performance when your customers' data grows by orders of magnitude?
The challenge isn't just technical. You're managing engineers who could easily land staff roles at FAANG companies, keeping them engaged on problems that push the boundaries of what's possible with modern data architecture. We've built something genuinely innovative here, but we're scaling fast. 
What You'll Do
<ul>
<li>
Architect teams for hyperscale data. Lead and grow a team of eight engineers who build the infrastructure that processes more cost data than anyone else in the industry. Your job is creating an environment where they can push the limits of data architecture without burning out.
</li>
<li>
Drive innovation in data engineering. Champion the complex platform work that enables everything else. Help your team strike a balance between pipeline reliability and performance optimization. Make the case for architectural improvements that handle 10x growth without breaking existing systems.
</li>
<li>
Scale data platform excellence. Design team processes that work when data volumes increase by orders of magnitude. Think through the hard engineering problems: how do you maintain data quality when ingesting from dozens of providers? How do you debug pipeline issues across distributed, event-driven systems?
</li>
<li>
Bridge data and business. Help product teams understand data platform constraints without limiting their vision. Explain pipeline latency and storage costs to executives in terms that inform strategic decisions. Your insights should inform how we approach data architecture at scale.
</li>
<li>
Develop data platform expertise. Help engineers level up their understanding of distributed systems, event streaming, and warehouse optimization. Create career paths for data engineers who want to work on genuinely challenging problems. 
</li>
</ul>
You Might Be a Good Fit If...
<ul>
<li>
You've managed data engineering teams that processed substantial volumes at companies where data pipeline failures resulted in significant business impact. You’ve done this for 5+ years at a B2B SaaS company. You may have been the person who had to explain why the warehouse was choking on a customer's data and helped the team architect a solution, not just manage the incident.
</li>
<li>
You likely understand that great data platform engineering is about building systems that gracefully handle the unexpected. You probably have strong opinions about event streaming, warehouse design, and pipeline monitoring, but you adapt them based on actual performance characteristics.
</li>
<li>
You might be someone who still gets excited about query optimization and data modeling but doesn't need to review every schema change. You carefully consider which architectural decisions require your input and which ones your team can own entirely.
</li>
<li>
You can spot the difference between a pipeline that's slow because it's handling more data and one that's slow because it's poorly designed. You've likely helped engineers think through performance tradeoffs that don't have obvious answers.
</li>
<li>
You're probably fascinated by the intersection of cloud billing data, real-time processing, and warehouse optimization. You see the potential in building data infrastructure that enables entirely new ways of thinking about cost management.
</li>
<li>
Most importantly, you believe that data platform engineering is where the hardest and most interesting technical problems live. You see people management as the way to build systems that push the boundaries of what's possible with modern data architecture.
</li>
</ul>
Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.
Compensation Range: $190K - $225K

Senior Manager, Engineering (Core Data Platform)

<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 or Berlin, Germany office and will be expected to work in the office in a hybrid capacity. Additional locations include the Boston, New York, Washington DC 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 and/or Berlin 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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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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 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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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 Description
About the Role: CloudZero is seeking an Engineering Co-op to join Team Cirrus, the group responsible for building and evolving CloudZero’s Kubernetes cost insights capabilities. This includes collecting and processing data from customer Kubernetes clusters, delivering that data to our platform, and making it visible and actionable for users. With Kubernetes adoption among our customers increasing towards 100%, this area of the product is both essential and fast-evolving.
This co-op role is designed to provide real-world software engineering experience by embedding you directly within a high-impact team. You’ll contribute to production systems, work alongside experienced engineers, and play a key role in solving meaningful engineering challenges.
Location: Boston, MA (In-office 3+ days/week) Duration: January–June 2026 (Spring semester)
If you're curious about large-scale container data systems, excited to work in a cloud-native environment, and eager to learn from an experienced and supportive team, this opportunity is for you.
What You'll Do:
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Build and enhance features that help customers understand Kubernetes spend and performance
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Own a scoped technical project for the first ~3 months of your co-op and see it through from design to delivery
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Collaborate with engineers, product managers, and your mentor on solutions that ship to real customers
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Participate in team rituals like standups, planning, retros, and demos
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Contribute to internal improvements - from monitoring and testing, to documentation and automation
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Transition into the team's day-to-day engineering work for the second half of your co-op
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What You'll Have:
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A 2nd or 3rd year Computer Science undergraduate student (Spring 2026 Grad)
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Solid foundation in programming fundamentals (data structures, algorithms, etc.)
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Exposure to backend languages like Python or Go (schoolwork or personal projects is great!)
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Comfortable in a Linux-based development environment and using git
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Excited to work on real-world systems and contribute to team outcomes
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Curious, collaborative, and eager to learn - you ask questions and take ownership
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What You'll Learn:
This is not a throwaway or shadowing role. Your work will ship to production, impact real customers, and matter to the team. You'll be supported by a dedicated manager, an assigned mentor, and a culture that values pairing, feedback, and experimentation.
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How modern cloud-native systems operate at scale using technologies like AWS Lambda, Step Functions, Kubernetes, and Snowflake
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How to write production-ready code and deploy it safely to real systems
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How cross-functional product teams collaborate to deliver customer-facing value
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What it's like to work in a professional engineering environment - from code review to incident response to celebrating a feature launch
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A strong understanding of how production systems are built and operated
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Experience working in a real engineering team on an active product
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A project you can confidently talk about in future interviews (with real technical depth)
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Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.

Engineering Co-Op (Spring) - Kubernetes Team

<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.
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Design and implement onboarding flows for every financial service imaginable, deposits, loans, treasury services, credit cards, business accounts, and emerging financial products.
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Build systems that seamlessly integrate with legacy bank infrastructure, core banking systems, and third-party compliance providers.
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Solve complex technical challenges around multi-tenant architecture, real-time data processing, and bank-grade reliability requirements.
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Work directly with major banks to understand their unique onboarding requirements and translate complex business logic into elegant technical solutions.
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Build both customer-facing applications and internal tools that bank employees use in branches and call centers.
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Own the performance, scalability, and reliability of systems processing millions of applications across hundreds of different banking products.
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Qualifications:
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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.
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Strong system design skills and experience with scalable architectures, you'll be building systems that need to handle rapid growth.
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You thrive on solving complex technical problems with business context. You can break down complicated banking requirements and build elegant solutions.
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You care about business impact and can balance technical excellence with shipping features that move the business forward.
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You think deeply about user experience, whether you're building for bank customers opening accounts or bank employees processing applications.
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You communicate technical concepts clearly to both engineering teammates and non-technical stakeholders, including bank executives.
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You're excited about working directly with customers, understanding their complex needs, and iterating quickly based on feedback.
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You want to own significant parts of the product and help shape technical decisions as we scale.
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Legally authorized to work in the United States and located within the continental United States
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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.
Prelim values diversity and inclusion; people of all backgrounds are welcome to join our mission to transform banking.
Compensation Range: $110K - $140K

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