AI Data Science & Analytics Jobs

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: You will build and maintain our backend that already handles millions of custom requests daily, and ensure that it’s reliable, performant and exceeds expectations for our customers as we scale. You will also be a steward of our API and ensure that it’s developer-friendly and easy to integrate with.You: Have deep intuition on distributed systems, databases, maintainable code design, and API design. You like to reason about trade-offs between speed, scalability, and developer ergonomics. You care about your work powering products and systems that millions rely on, and about APIs that developers love to use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.Job Description NICE is looking for an exceptional AI-focused Solutions Architect to join our team. As an AI Solutions Architect, you will play a vital role in enhancing our contact center solutions through the development of prompt engineering, AI application frameworks, and cloud infrastructure services. You will work in a collaborative team environment to explore and create solutions to industry problems using state-of-the-art large language models and generative AI. You bring to this team environment several years’ experience in software development, generative AI, and the curiosity and grit to see a project to delivery. Responsibilities Help diagnose and resolve issues with production prompts. Work with customer-facing stakeholders to capture customers' goals for generative AI applications. Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders. Build and optimize application prototypes that leverage generative AI. Stay informed of the latest advancements in AI application development and tools. Minimum Skills and Experience Minimum of 1 year of experience working with generative AI applications. Minimum of 3 years of experience working in production software development. Minimum of 3 years of experience working with AWS resources. Excellent proficiency in Python programming including automated test. Familiarity with best practices in prompt engineering. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Additional Desired Skills and Experience Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask. Experience working on international, globe-spanning teams. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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TL;DR - We’re seeking exceptional Backend Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the next generation of creators and builders.Why Lovable?Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, solve complex problems, and bring their dreams to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value high ownership, high velocity and low-ego collaboration. We seek people who care deeply, challenge us, and are driven to build something of lasting impact.What we’re looking for5+ years of experience designing, building & scaling backend systems for production productsFluency in Go, Rust, or similar backend languages, plus strong API design skillsDeep understanding of distributed systems, scalability, reliability, and performance tradeoffsProven experience integrating with frontend and ML systems to deliver product featuresStrong product instincts: you know how to balance fast delivery with building for the long termWhat you’ll doIn one sentence: Build and scale the backbone of Lovable products, ensuring they’re fast, reliable, and ready to support millions of usersDesign, implement, and maintain backend services, APIs, and infrastructure componentsOwn backend systems end-to-end: architecture, implementation, deployment, monitoring, and iterationCollaborate with frontend, ML, and product teams to translate ideas into robust, scalable featuresContribute to shaping our backend architecture, engineering culture, and technical strategyOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)And always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with recruiter.Complete the general programming exercise.Show us how you approach problems during several technical interviews.Tell us about your most impressive project.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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TL;DR - We’re seeking exceptional Fullstack Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the next generation of creators and builders.Why Lovable?Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, solve complex problems, and bring their dreams to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value high ownership, high velocity and low-ego collaboration. We seek people who care deeply, challenge us, and are driven to build something of lasting impact.What we’re looking for5+ years of experience building and shipping full-stack productsFluent in modern frontend (React/TypeScript) and backend developmentSolid understanding of systems design, performance tradeoffs, and scalable architectureStrong product sense and ability to make well-reasoned technical decisions, knowing when to prioritize speed and when to invest in foundational workWhat you’ll doIn one sentence: Do all it takes to build a generational product and scale the core experience of lovable productsImplement and maintain features across the full stack: frontend, backend and infraOwn systems end-to-end: architecture, implementation, deployment, and iterationCollaborate closely with ML, design, and product teams to translate capabilities into intuitive, mind-blowing user experiencesDrive the full development lifecycle, from technical planning to production launch and post-release improvementsContribute to shaping our technical direction, eng culture, and product strategyOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terraform)And always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with a recruiter.Complete a quick live coding exercise.Show us how you approach problems during several technical interviews.Tell us about your most impressive project.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Product Engineer at Console, you’ll work on the main application surfaces and core flows that make our product work well. You will work closely with the product team and leadership to ship experiences which .Some examples of work you might do:Build out new product modules that compete against existing point solutionsDelight customers by delivering on feature requests the same day they requested themAdd end-to-end support for new support channels and entry-pointsYou'll have room to be creative, own projects end-to-end, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a product builder with strong generalist technical skills, and you know how to maximize your impact to deliver great experiences for users and customersYou have deep empathy for customer problems and You're good at managing your own work and can break down product ideas into clear action items and milestonesYou can drive feature development end-to-end, delighting users with great UX one day and building an efficient search index the next.Requirements4+ years of full-time experience in a product focused software engineering roleComfortable working and contributing across the entire stack (Typescript/Node/React)Obsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a Forward Deployed Engineer at Console, you’ll be responsible for making customers successful with the product. You'll work with sales, product, engineering, and directly with leadership to understand and solve customer requests, and help fold the learnings back into the core product.Some examples of work you might do:Help a front-line support agent integrate Console to automate a workflow they've been forced to solve manually for yearsBuild AI tooling to analyze tickets and surface insights to prospective customers on where they can increase automationDrive product decision making that turns your customer insights into platform valueYou'll have room to be creative, work autonomously with customers, and shape both the platform and the product vision.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou're a fast learner with high-aptitude and strong generalist intuitions that you can transfer across domainsYou're technical and can think through technical problems; you've built things from scratch and like to understand how systems work under the hoodYou enjoy working with people and feel a sense of personal responsibility to customers and teammates who rely on youYou aspire to be a founder and you want to learn as much as you can, as fast as you can, across multiple domainsRequirements2+ years of full-time experience working in a technical role or as a software engineerHands-on experience working across multiple functions or domainsObsessed with building incredible product experiences for users, and never happy with "good enough"Why join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The Prompt Engineer optimizes prompts to generative AI models across NICE's Customer Service Automation (CSA) applications. As part of the CSA Research team, the Prompt Engineer collaborates with multiple groups to ensure our applications deliver the highest quality customer experience. This role partners with global development teams to diagnose and resolve prompt-related issues, define and execute tests for LLM-based systems that are difficult to evaluate using traditional automation tools, and educate teams on advances in prompt engineering. The Prompt Engineer also updates production prompts in line with evolving industry best practices. When customers require novel, custom prompts, the Prompt Engineer works closely with Professional Services and Product Management to capture requirements, design robust solutions, develop and execute test plans, and present results to stakeholders. Responsibilities Diagnose and resolve issues with production prompts. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Collaborate with developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts for new features. Consult with Machine Learning Engineers for complex prompt challenges. Stay informed on advances in prompt engineering. Required Qualifications BS in a technology-related field such as computer science, business intelligence/analytics, or finance. Three years of experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, including differences between major LLM vendors. Strong collaboration skills with cross-functional teams. Excellent communication and presentation abilities for internal and external stakeholders. Experience with Python and at least one web app framework for prototyping (e.g., Streamlit or Flask). Preferred Qualifications Basic AWS resource management, including microservice deployment. Experience with Docker containerization. Experience with both standard and AI-based testing frameworks (e.g., PyTest, DeepEval). Exposure to generative AI application frameworks such as LangChain, LlamaIndex, and griptape.  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 1-4 years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$170K – $200K + Offers Equity

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About The RoleTaktile is a high-growth, post product-market-fit start-up, on a fast trajectory to becoming market leader in the field of automated decisioning. We are looking for a Forward Deployed Engineer Manager to help us transform how our customers make critical business decisions by overseeing a team of Forward Deployed Engineers onboarding them onto Taktile and ensuring they get real value from our platform. You ensure your team acts as a trusted advisor and supports customers in reaching their goals while maximizing Taktile’s impact.If you’re passionate about tech and AI, and have extensive experience with Python, SQL, and REST APIs, you’ll thrive here.What You'll do as Forward Deployed Engineering ManagerOversee Taktile deployments in production, technical delivery across multiple projects from scoping to stable production traffic.Apply technical expertise, problem-solving skills and creativity to help organizations address real-world challenges by partnering and problem solving with your team members. Your day could include reviewing solution architectures, co-developing decision logic or AI agents, or aligning with key customer stakeholders together with your team members.Reliably review solution design and scoping proposals, sequence delivery, and proactively remove blockers. You are making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery.Manage capacity of your team and partners with RevOps/Customer operations to improve or introduce scalable processes to the Forward Deployed Engineering teams at Taktile.Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap.You play a key role in scaling the Forward Deployed Engineering function by creating reusable resources, best practices, and tools that share your expertise and drive organizational growthYou actively coach and mentor Forward Deployed Engineers on your team, supporting their development and success.You hire, grow and retain a team of exceptional Forward Deployed Engineers.About YouYou bring 8+ years of engineering or technical deployment experience that includes customer-facing work.You had first experience of leading a technical customer-facing team of 3x direct reports.You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.You can write and review production-grade code using Python and SQL. You possess a strong understanding of REST APIs.You excel at breaking down complex problems and making quick, well-informed decisions even under pressure.You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges.You are creative and proactive, always seeking new ways to deliver value and stand out with customers.You are collaborative and work well with your peers in product teams, engineers and other GTM teams.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You have excellent written and spoken English.You are open to a hybrid work model and can work from our NYC office at least three days per weekIdeal Qualifications (but not required)You have 8+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company.You have led a large technical customer facing team of 5-10 direct reports, have experience in hiring and retaining exceptional talent.You have experience in building AI applications.You have experience in applying and optimizing statistical and machine learning models to solve business problems.You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).You are fluent in Spanish and/or Portuguese.What We OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.Make an impact and meaningfully shape an early-stage company.Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation package.Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.About UsTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for an Implementation Engineer to join our team and help support our digital diagnostics customers, including our commercially deployed AI product portfolio and Digital Pathology Image Management System, AISight.  Although experience is important, we weigh a heavy emphasis on cultural fit within the organization, a hunger to learn both our business and customers, and a drive to move us forward in this rapidly evolving industry. We are looking for someone that is well versed in SaaS Implementations, Lab/IT Connectivity Integrations and is well organized, has a sense of drive and an aptitude for learning quickly in a complex space. What You’ll Do Build and maintain strong relationships with our DDx customers (Anatomic Pathology labs, Academic Medical Centers, Hospital Systems)  acting as their primary point of contact during the technical implementation phase of the project Provide hands-on technical implementation support, working with customer IT and internal development teams as needed Provide project management of all implementation tasks, providing schedule updates, resolving risks and issues, and communicating with the customer on a regular basis Language Requirements, Fluent- Spoken and Written : English (Required) Portuguese (BR) (Preferred) On-Call Support: Support external clients as an application expert/escalation point for our support team. (Including an on-call rotation) What You Bring 3+ years of experience in a client-facing, SaaS implementation roles Strong analytical skills and operating rigor Experience handling difficult customers or situations and can demonstrate resolutions A strong understanding of our business and products, and an ability to research/self-start in areas that require learning Familiarity with HL7 interface implementation and hands-on experience with market-leading laboratory information systems (Epic Beaker, Novopath, Cerner Millenium etc) is preferred  Travel (<20%)   Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.     

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We're looking for an Product Engineer focussed on the Backend to help us scale our systems to unlock Granola for the next 100x users.In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features.In this role, you will:Own the evolution and scaling of our backend infrastructureDesign and implement performant APIs and servicesBuild infrastructure to support cutting-edge AI capabilitiesOptimise database performance and query efficiencyContinuously improve reliability and observability through enhanced monitoring and alertingCollaborate cross-functionally to ensure our infrastructure supports continuous product innovationYour background looks something like:Engineering experience in tech and product-driven environmentsStrong proficiency in TypeScript and Node.jsHands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform)Deep knowledge of relational databases (we use PostgreSQL)Familiarity with serverless architectures (we love lambdas!)Solid understanding of security best practices and performance optimisationAs a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in infrastructure for AI/ML (direct experience is a bonus, but not required)Thrive in a fast-paced environment with evolving requirements and shifting prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.Key Responsibilities:Develop and train advanced LLMs and VLMs, including multimodal architecturesResearch and implement training methods for enhanced capabilities like instruction following and tool useDesign and optimize data pipelines and training systems for large-scale distributed trainingCollaborate with cross-functional teams to integrate models into agentic AI systemsEvaluate model performance and communicate findings to stakeholdersStay current with advancements in LLMs, VLMs, and related fieldsRequirements:Technical skills:Strong programming skills (Python, Git)Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)Experience with large-scale distributed training of LLMs and VLMsHands-on experience with LLM training, alignment, and reinforcement learningKnowledge of multimodal architectures and applicationsResearch skills:Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)Soft skills:Excellent communication and presentation skillsStrong collaboration and teamwork skillsPassion for AI and problem-solvingBonuses:Industry experienceExperience in LLM training with RLExperience with data processing techniquesLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions.This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.Key Responsibilities:Define and lead the technical architecture, design, and long-term engineering roadmap for agent research platforms.Develop and maintain complex, high-performance, and scalable systems that serve as the foundation for our research.Mentor and guide other engineers and researchers on the team, fostering technical excellence and best practices.Conduct thorough code and design reviews, ensuring quality, security, and scalability.Collaborate closely with researchers to implement, test, and productionize new agent logics and learning algorithms.Drive improvements in system reliability, scalability, and observability for our research infrastructure.Establish and enforce engineering standards, tooling, and processes within the Agent team.Champion technical innovation and proactively address technical debt to accelerate research and development.Requirements:Technical Skills:Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer with a relevant set of responsibilities and achievements.Strong 5+ years of experience in Python development.Proven experience building, scaling, and shipping end-to-end solutions involving Machine Learning models (LLMs/VLMs).Proficient in at least one deep learning (PyTorch, JAX, TensorFlow) or agentic framework (LangChain, AutoGen, CrewAI, OpenAI SDK).Expertise in instrumentation, observability, and monitoring for complex systems.Solid understanding of coding standards, architectural patterns, and test frameworks.Bonus Skills:Experience with distributed systems or cloud computing, preferably in AWS.Experience in LLM training/fine-tuning.Experience with Reinforcement Learning (RL) frameworks or algorithms.Experience developing large-scale evaluation and benchmarking systems for AI models.Soft Skills:Enjoys collaboration and teamwork in a research-oriented environment.Impactful communication skills, with the ability to bridge the gap between research and engineering.Eager to explore and solve the new engineering challenges of agentic AI.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first dedicated research hire - you will answer the question: how to train and scale a model that can serve a web index?You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:Notable is seeking an experienced Integration Specialist to join our growing team. This role sits at the critical intersection of engineering, product, and implementation. As a member of our Integrations team, you will play a foundational role in configuring and building robust integrations and automations that connect our customers’ systems (e.g., EHRs, PMs, CRMs) to Notable’s Flow Builder orchestration platform.While integrations are your primary job, you will become a deep expert in our Flow Builder platform to master how data moves into and out of automations and how to hydrate them with data from external systems. You will be a key driver in the work you perform - expected to be independent yet collaborative, deliver with urgency, find answers where they don't exist, and ruthlessly prioritize based on impact. Deep experience with healthcare data standards and integration engines is essential for success in this role.If you are a proactive problem-solver with a background in integration engineering, technical solution architecture, or a similar field—and you're excited to make an immediate impact - we would love to meet you.What You’ll Do:Gather integration requirements with Delivery leads, product managers, and customer engineers, then translate them into Flow Builder designs and specifications.Configure and build interfaces using Mirth Connect, FHIR and proprietary REST APIs, HL7 v2, X12 EDI, and client SQL / report based extracts.Own an active customer portfolio - planning, prioritizing, and communicating Delivery dates while balancing quick wins with quarterly roadmap work.Prototype and publish reusable “subflows” and connection templates that cut repeat work across customers.Write and run rigorous test plans, then shepherd code through staging and production with zero-defect expectations.Monitor platform performance, surface bottlenecks, and propose data-model or infrastructure changes that improve scale and reliability.Collaborate with the Connector Product Engineering pod on the integration roadmap, including planning for new feature enhancements, prioritizing bug fixes, and participating in backlog grooming.Partner with the Flow Builder Product Engineering pod to advocate for and advise on enhancements to the core flow building experience as a whole.Troubleshoot escalations, lead root-cause analysis, and guide customers through resolution steps.Mentor junior team members on integration patterns, project discipline, and healthcare data standards.What We’re Looking For:5+ years of experience in healthcare, focused on data integration, technical solution leadership, or adjacent engineering/product roles.Hands-on experience with at least one integration engine (Mirth, Rhapsody, Corepoint, IRIS, or similar).Comfortable reading and writing HL7 v2 or X12, querying data with SQL, and consuming REST / FHIR APIs.Professional coding background in JavaScript, TypeScript, or Python, plus familiarity with JSON and XML.Strong project ownership - you proactively surface risks, manage competing priorities, and deliver on commitments.Clear communicator who can explain complex concepts to both technical and non-technical audiences.Systems thinker who enjoys balancing immediate customer needs with platform scalability.Bonus Points:FHIR bulk-data know-how.Exposure to major EHR vendor APIs (e.g., Epic Showroom/Vendor Services, Oracle Cerner CODE, AthenaOne APIs).DevOps literacy (Docker, CI/CD).Experience migrating interfaces between different integration engines.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/.About the RoleAs a Founding DevOps Engineer, you’ll be the owner of our build, release, and runtime foundations. You’ll design and automate deployment pipelines for both cloud SaaS and on-prem environments, orchestrate containers at scale, and ship reliable releases that meet compliance requirements. You’ll work cross-functionally with product, security, and customer teams—then turn what you learn in the field into reusable platform capabilities.Key ResponsibilitiesOwn CI/CD end-to-end: design, implement, and operate pipelines with blue/green, canary, and phased rollouts; define graceful draining for HA systems.Architect, maintain, and harden Kubernetes-based runtime (Docker, Kubernetes, Helm), including multi-cluster and multi-tenant concerns.Manage cloud deployments across AWS/Azure/GCP and coordinate with on-prem infrastructure teams; standardize with IaC (e.g., Terraform).Implement robust observability (metrics, logs, traces), SLOs/error budgets, and automated rollback/one-click restore.Partner with compliance to integrate SOC 2 / ISO 27001 / HIPAA controls into pipelines (artifact signing, SBOMs, change management, access/keys).Deploy at customer sites (cloud or on-prem), collaborating with client teams for integration, runbooks, and handover.Lead incident response & postmortems; drive resilience, cost, and performance improvements.Document release processes and platform conventions; codify best practices into tooling and templates.You Might Thrive If YouHave deep hands-on experience with a major cloud (AWS, Azure, or GCP) and container orchestration (Kubernetes, Helm).Build production-grade CI/CD with GitHub Actions / GitLab CI / Jenkins (or similar), including complex rollout strategies.Have shipped both SaaS and on-prem solutions, navigating networking, security, and environment drift.Can integrate compliance and security into delivery (secret management, image signing, policy-as-code).Are comfortable with networking fundamentals, security hardening, and performance tuning.Communicate clearly, move fast in ambiguity, and enjoy being the responsible adult in prod.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 215k - 290kEquity: 0.3 - 0.6%Location: Redwood City, CA, USUS Visas: Sponsors Visa & Green CardOther Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bill coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessOnline Assessment (25–30 min): One HackerRank coding questions on practical problem-solving (7 days to complete).Technical Phone Interview 1 (30 min): Live coding on CoderPad, focusing on data structures and algorithms.Technical Phone Interview 2 (30–45 min): Full-stack development with JavaScript, TypeScript, React, and Node.js in a local environment.Onsite/Virtual Interviews (2-3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:DevOps Build & Run: Design a Kubernetes deployment with blue/green, draining, and a 2-hour instance lifetime constraint; walk through rollout/rollback.Communication (FDE-style): Partner exercise on explaining trade-offs and aligning stakeholders.Systems Design (DevOps): Architect a generalized on-prem solution deployable across multiple clouds with different data stores, key vaults, encryption, availability/failover, monitoring, upgrades, and maintenance.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, building scalable, impactful full-stack systems that redefine AI-driven communication.

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Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Software Development team is seeking a passionate and experienced Senior Staff Software Engineer specializing in Hypervisor Virtualization and Virtualization Research. This pivotal role is critical in the design, development, and optimization of our virtualization technologies, specifically tailored for an all-AI cloud infrastructure. A deep understanding of hypervisor internals, CPU and memory virtualization, I/O virtualization, and performance optimization is essential for developing reliable, high-performance, and secure virtualized environments that power our cutting-edge AI products. This is a full-time position.What You’ll Be Working On:Hypervisor Development & Optimization: Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads. This includes focusing on CPU, memory, and I/O virtualization techniques.Virtualization Research & Innovation: Conduct in-depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources. Identify and prototype new virtualization features and enhancements to improve density, throughput, and latency.Virtual Hardware & Device Emulation: Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment.Performance Analysis & Tuning: Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads. This includes profiling, bottleneck identification, and implementing low-level optimizations.System-Level Troubleshooting: Diagnose and resolve complex system issues within the virtualization layer. Work closely with hardware and guest OS teams to debug and resolve integration challenges.Code Review and Quality Assurance: Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components.Cross-Functional Collaboration: Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams, to ensure cohesive and integrated product development.Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaborative problem-solving within the virtualization team.What You’ll Bring to the Team:Hypervisor Expertise: Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare-metal hypervisors), including CPU virtualization (VT-x/AMD-V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR-IOV, virtio).Virtualization Concepts: Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms.Linux Kernel Familiarity: Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management, and scheduling within a virtualized context.Hardware Understanding: Familiarity with hardware architectures relevant to virtualization, including CPUs (x86, ARM), GPUs, and Smart NICs/DPUs. Experience with hardware offloads and acceleration for virtualization.Performance Optimization: Demonstrated ability to identify and resolve performance bottlenecks in complex virtualized systems. Experience with profiling tools and techniques.Debugging & Troubleshooting: Strong debugging skills in complex, distributed systems at the hypervisor and kernel levels.Bonus Points:Experience with virtualization specifically for AI/ML workloads, including GPU virtualization or direct pass-through.Familiarity with container runtimes and their interaction with hypervisors.Contributions to open-source virtualization projects.Experience with security hardening of hypervisors and virtual machines.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.