AI Product & Operation Jobs

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).  Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here. How you’ll make an impact This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. Add new capabilities for data integration, transformation, and visualization using LLMs Optimize workflows for large-scale datasets and improve database support Strengthen developer tools like Jupyter notebooks and SQL workbenches Tech stack: Java, Python, AngularJS, Angular Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance Enhance dash boarding capabilities to deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement and integration across disparate systems Tech stack: Java, Angular, PostgreSQL What you need to be successful  We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product We’re hiring at all levels (junior, mid, senior) A passion for combining backend performance with exceptional frontend user experience. You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? Initial call with a member of our Technical Recruiting team (45min) Video call with an Engineering Team Lead (1h30) Technical Assessment to show your skills (Home Test or Live Coding) Final Interviews with our VPs of Engineering (2h)   #LI-Remote   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the teamOur Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.About the roleThis is an exciting, new role for an individual motivated to build their knowledge of AI transformation in retail. As an Associate, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for some of the largest retailers in the UK. We’ll look to you to build trusted client relationships, analyse requirements and feedback, stay on top of workflows and help to ensure our bespoke AI tools are optimised for real-world operations.What you'll be doing:Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions.Working side-by-side with Retail and Consumer stakeholders to understand critical mission challenges and user needsConducting open-source analysis to support the development of cutting-edge AI toolsTranslating complex operational requirements into clear user stories for delivery and engineering teams.Designing and testing workflows that support user-centric decision-making in high-stakes environmentsCollaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needsContributing to internal thought leadership, strategy, and capability development across the teamWho we're looking for:You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex informationYou have some experience working on AI/data intensive projects in the retail and consumer sectorYou have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects/productsYou’ve worked with technical teamsYou understand Agile and related methodologies and the basis of iterative development and continuous deliveryYou are thoughtful and proactive in ambiguous situations, keen to take initiative and own finding solutions to challengesYou’re excited and energised by the possibilities for innovation in retail and consumer technology!Our interview process:Talent Team Screen (40 mins)Introduction Interview (60 mins)Case Study Interview (60 mins)Interview with Business Unit Director (30 mins)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the teamOur Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive. About the roleAs a delivery manager, you’ll own the end-to-end success of high-impact AI projects for our retail and consumer clients. You act as the crucial link between our customers and technical teams - we’ll look to you to balance technical possibility with feasibility, ensure we maximise value for our clients, and cultivate strong external relationships which position Faculty as the partner of choice for future projects.What you'll be doing:Owning the end-to-end delivery of customer projects, from initial scoping to final implementationCollaborating with technical teams, and customers, to design innovative AI solutions that solve their challenges and leverage opportunitiesManaging project development and ensuring a delivery approach that provides maximum value to the customerBuilding and maintaining strong relationships with customers; acting as the primary point of contact throughout the project lifecycleIdentifying new commercial opportunities and contributing to new business pitches and proposalsDeveloping and mentoring your peers; taking a proactive role in building good processes and practicesWho we're looking for:You have previous experience in 0-1 AI/Digital transformation projects in the retail and consumer sector (preference for consulting services or CPG background)You take full responsibility for the successful delivery of your projects, from initial scoping to end-user adoptionYou're currently client-facing - trusted to help them navigate ambiguous situations, complex technical information and unexpected challengesYou are a clear communicator, with outstanding written and verbal skills, using these to instil confidence, bring clarity, and influence senior stakeholdersYou are comfortable working with technical teams and have experience delivering technical projectsYou know how to gauge possibility, and feasibility, and how to lead a team to balance vision and pragmatismYou are a practical problem-solver, identifying potential issues and proactively implementing solutionsOur interview process:Talent Team Screen (40 mins)Introduction Interview (60 mins)Case Study Interview (60 mins)Interview with Business Unit Director (30 mins)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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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 Senior Software 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 Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects.You will design, train, and deploy SOTA multimodal models (e.g., Omni-models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re an expert with PyTorch or JAX.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You have experience in one of the following: VLMs, diffusion for image/video, audio processing (ASR/TTS), image processing, robotics.• You write clean, readable, high-performance, fault-tolerant Python code.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. You’ll create agents that detect, diagnose, and help resolve incidents—grounded in real-world security and SRE workflows—and evaluate them in simulated environments before hardening for production.You’ll work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Develop and pre-/post-train domain-specialized foundation models for observability, security, site reliability engineering, and code repair• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Have publications in top ML/security venues and/or contributions to open-source security or observability tools.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on model efficiency and edge deployment. You will research and build ultra‑efficient models and toolchains for on‑device inference across CPUs, GPUs, NPUs, and specialized accelerators. Your work will enable Mistral models to run privately, reliably, and fast on mobile, desktop, and embedded devices. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Design and evaluate quantization, pruning, distillation, and sparsity methods for LLMs and multimodal models.• Build deployment stacks, optimize kernels and memory layouts.• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.• Develop tooling for calibration data generation, mixed‑precision training, quant‑aware finetuning, structured/unstructured sparsity, and compilation passes.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You’ve a deep understanding of quantization trade‑offs, hardware constraints, and compiler stacks• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Contributions to open‑source inference/compilers stacks.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.• Have experience optimizing inference on edge devices Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers specializing in time‑series modeling to build SOTA forecasting, detection, and control systems across domains such as finance, energy, IoT, healthcare, and operations. You will design foundation‑style temporal models and hybrids (LLM + TS), and deploy them in latency‑sensitive, reliability‑critical environments. You’ll partner with clients to translate raw telemetry into actionable insights. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Pre‑train and fine‑tune time series foundational models for downstream applications in various industries• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re an expert with PyTorch or JAX.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You write clean, readable, high-performance, fault-tolerant Python code.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia.• Proven work with time‑series modeling and transformers models applied to time-series: forecasting, anomaly/change‑point detection, irregular sampling, multivariate and hierarchical series. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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(FEQ127R44) At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes AI, data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers turn their complex data challenges into breakthrough business innovations. You will serve as the trusted technical advisor for your customers. You will work directly with technical and business leaders on their AI and Data strategy and its execution, utilising your skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional, collaborative, and customer-focused team in partnership with our various internal departments, wider teams, and partners. You will report to the France Emerging Field Engineering Leader. The location for this position is Paris, France. Join us in our quest to change how people work with AI & data and make a better world! The impact you will: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will act as a champion and trusted advisor on multiple architectures, designs, and implementations and lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your expertise to the level of a technical and industry expert.   What we look for: You ideally have 5+ years of experience working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. You are experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. You are proficient with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). Good to have: Cloud certification from AWS, Microsoft or GCP or relevant experience Databricks experience/ certifications are a bonus Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. Flexible to travel for customer meetings and internal events/trainings (up to 20-30%). Fluent in French.   #LI-hybridAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Who we are:Aleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes.The role:As a Developer Advocate in our Research organization, your mission is to amplify the impact of our publications and model releases by building, engaging, and promoting our research community. This means you will be working closely with our research scientists and engineers to make sure our output is accessible and visible in deeply technical AI/LLM academic and industry communities. Within this scope, you are in the driving seat: your success is measured by the impact you have, and your role is to derive how to make that impact.You’ll contribute to a breadth of initiatives in a fast-paced and dynamic environment; one week, you might be organizing our participation in a major conference; another week, you’ll lead a growth campaign on our upcoming release.Your responsibilities:Develop and implement strategies to build and grow an engaged developer community around Aleph Alpha’s AI and LLM technologiesOrganize and participate in digital and in-person community events, webinars, forums, and social media platforms to facilitate discussions and share knowledgeAct as a liaison between the community and our research teams, gathering feedback and insights to drive continuous product improvementAnalyze community feedback to identify trends, opportunities, and areas for improvement, advocating for community needs in product roadmap discussionsEngage academic partners through organizing targeted events and presentations.Monitor and report on community engagement and growth metricsWho you are:Basic Qualifications:Proven experience in Developer Advocacy, Community Management, Developer Relations, or a similar roleYou are deeply engaged and have a great understanding of technical & scientific communitiesYou can understand and communicate scientific results, balancing simplicity and depth without sacrificing accuracyYou are detail-oriented and have a great sense for visual storytelling, setting the bar for our public contentYou have a high sense of ownership and urgency, and can maximize your impact with limited resources and directivesProficiency with one of more coding languages, particularly PythonPreferred Qualifications:Ability to work onsite or hybrid in Heidelberg, GermanyPrevious experience in a deep-tech, scientific environmentPrevious experience in a related role in AI, particularly with LLMsWhat You Can Expect From Us:Become part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option PlanJobRad® Bike Lease

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.As a Lead Technical Program Manager at Cerebras, you will be managing the execution of several interdisciplinary teams of highly talented and motivated engineers in a fast-paced environment to solve some of the toughest problems in the rapidly evolving AI space. In this role, you will: Manage technical projects, working closely with key stakeholders in engineering and product management to develop and track release milestones, and builds & schedules, for the many moving parts that need to come together. Partner closely with System Engineering, Software Engineering, Manufacturing, Product management, and IT teams to define, prioritize, implement, and improve product features, datacenter infrastructure, and processes. Drive key aspects of the program through product launch, from planning, execution, and testing. Lead cross-functional projects, and drive and motivate the cross-functional teams to deliver the product(s) per requirements and schedule. Regularly present the project status, challenges, and program risks to the executive team. Develop tools and processes to increase engineering efficiency. Lead sprint planning meetings. Manage communication of status, risks, and blockers within the core team and with senior management. Skills & Qualifications Experience/expertise with design, manufacturing, and deployment of high-performance hardware infrastructure for data centers.  Experience with program managing NPI hardware programs for the full lifecycle. Experience in program management and reporting on government-funded programs. Ability to communicate effectively with technical and non-technical stakeholders at all levels. Ability to multitask and manage multiple projects efficiently. Ability to manage the ambiguity of the projects  Must be responsive, flexible, and able to excel within an open collaborative peer environment.  Good understanding of silicon, software development, system design, and manufacturing process. Good understanding of technical requirements for technology integration. Exposure to machine learning, deep learning, HPC, and associated technologies.   QUALIFICATIONS Bachelor's degree with a technical discipline or equivalent experience. 5+ years of relevant work experience in technical program/project management of cross-functional technical programs. Ability to exercise technical judgement when working with engineers. PREFERRED QUALIFICATIONS Master's degree or advanced technical degree. Experience working on server hardware or machine learning products and services. Experience driving technical program management in a fast-paced, startup environment. Creative leader with superior analytical abilities. Knowledge of the hardware development process and life cycle.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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We’re looking for a design engineer to take ideas from rough sketches to production. You’ll play a key role in shaping entirely new interaction paradigms for understanding and controlling infrastructure. You’ll own the look, feel, and experience of Antimetal across our entire platform.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. What You’ll Do:Own the design system across Figma and code (React, Tailwind), keeping it robust and scalable.Ship pixel‑perfect interfaces with CSS.Take ideas from rough sketches to production-ready by partnering with design and engineering.Raise the bar on front‑end architecture and best practices.Define new interaction patterns for AI‑driven tools.What you bring:Experience working as a Design Engineer, frontend engineer with strong design skills, or designer with strong engineering skillsHighly proficient in React, Next.js, TypeScript, and Tailwind, with a strong grasp of modern frontend architecture, state management patterns, and performance optimization.Strong visual and interaction instincts—you care deeply about detail, motion, and making interfaces feel precise, responsive, and intentional.A fast, flexible prototyper who is equally comfortable exploring ideas in Figma, code, or AI tools, depending on what gets you to signal fastest.Hands-on with CSS animation, transitions, and layout techniques—skilled at crafting interfaces that move and respond with clarity and intent.A strong portfolio showcasing high-quality front-end development work.Comfortable in a fast-moving startup environment. You are quick to iterate, test ideas, and push toward outcomes.Bonus:GSAPR3F, Three.js, WebGLInfrastructure knowledge Who you are:Identify as a builderAre excited to work in-person from our new and spacious office in New YorkLove working in a startup environment (experience in a startup or obsession with going zero-to-one)Enjoy working with people who are ambitious, caring, and think in systemsThrive in a fast-paced iterative environment where experimentation is essentialWhat we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits. Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with our CTO Shreyas in more detail about the roleProduct engineering exercise: You will have a set amount of time to develop rough prototypes to explore ideas based on a problem we define together.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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We’re hiring a Backend Engineer to scale the systems that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll build core backend and platform services, design for scale, and ensure our foundation can support rapid product growth.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What You’ll Do:Own and scale Antimetal’s AI workflow engine, the system that ingests metrics, logs, traces, and code to run investigations and generate explainable outputs.Design and implement distributed services that orchestrate data pipelines, automate investigations, and enable incident response at scale.Model and optimize relational data in SQL to support high-throughput investigations and reporting.Harden the platform for reliability by improving performance, reducing failure modes, and ensuring the system scales with customer demand.Collaborate across product and infrastructure, translating ambiguous requirements into production-ready backend and platform features.Set engineering standards for writing, communication, and system design, influencing how the entire product is built.What you bring:4-8 years of engineering experience, with 2+ years in a hyperscaling environment, see a function scale seeing 1-2x OOMExperience building and scaling distributed systemsProven backend API/data services expertiseOncall experience with production systemsComfort with ambiguity and ownershipExcellent writing and communication skillsExpertise with TypeScript in production environmentsBonus:Background in observability, monitoring, or incident responseExposure to AI/ML systemsExperience at early-stage startups building dev toolsExperience working on product without a product managerWho you are:Identify as a builder.Are excited to work in-person from our new and spacious office in New York.Love working in a startup environment (experience in a startup or obsession with going zero-to-one).Enjoy working with people who are ambitious, caring, and think in systems.Thrive in a fast-paced iterative environment where experimentation is essential.What we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the roleTechnical Interview: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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We’re looking for an Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems. You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What you bring:At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth companyDemonstrated ability to design and deploy large-scale machine learning systems that add new value to the product.Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic MLReal world expertise in one area of applied ML: search, statistical modeling, NLP, etc.Experience constructing and running end-to-end evaluation pipelines with real world data.Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.Excellent communication and collaboration skills.Comfortable with iterative development, prototyping, and adapting quickly to feedback.Bonus:Hands-on experience with vector/hybrid search.Experience with dataset curation or synthetic dataset generation for novel problem domains.A passion for staying ahead of applied AI trends and prototyping emerging technologies.Contributions to open-source ML tools or libraries.Experience with Go or another systems language.Who you are:Identify as a builderAre excited to work in-person from our new and spacious office in New YorkLove working in a startup environment (experience in a startup or obsession with going zero-to-one)Enjoy working with people who are ambitious, caring, and think in systemsThrive in a fast-paced iterative environment where experimentation is essentialWhat we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the roleTechnical Interview: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.👩🏽‍🚀 The MissionAs our first Security Engineer, you will define and drive the foundation of security for a next-generation developer platform that powers responsible AI. Your work ensures that every product we build, and every model our customers deploy, is secure, trustworthy, and compliant from the ground up.You’ll collaborate across Engineering and Product to embed security into our development lifecycle, enable rapid innovation without compromising safety, and lead the execution of our compliance roadmap (e.g., SOC 2, ISO 27001). By implementing the technical controls that safeguard our multi-cloud AI platform, you will play a critical role in protecting customer data, earning their trust, and reinforcing Fiddler’s commitment to building AI that the world can depend on.🪐 About The TeamOur Platform Engineering team is a talented, experienced group of engineers who take pride in building the foundation that powers Fiddler’s AI platform. The team is a mix of local and remote members who thrive on open communication, transparency, and genuine teamwork. This team has a ‘gsd’ attitude and is quick to lend a hand, share knowledge, and celebrate wins together.🚀 What You’ll DoDevelop a comprehensive security roadmap that addresses current and future threats, including cloud security, application security, and incident response.Directly implement half of the roadmap yourself with changes from GitHub Actions to Terraform to Python; while delegating the other half to other engineering teams. Drive execution of the engineering roadmap by personally delivering key features and infrastructure improvements (spanning GitHub Actions, Terraform, and Python), while coordinating and delegating the remaining initiatives to other engineering teams to ensure end-to-end delivery.Own our compliance processes end-to-end, including SOC 2 Type 2, GDPR, HIPAA (and more)—by defining and updating controls, supplying evidence during audits, etc.Prepare for and lead our incident response efforts, including developing and testing incident response plans, and coordinating the response to security incidents; work with other engineers to shift left. 🎯 What We’re Looking For5+ years security engineering experienceProven experience as an autonomous senior security role in a startup environment.Deep understanding of both security principles and best practices, as well as infrastructure engineering (sometimes called “DevSecOps”).Hands-on experience with a variety of security tools and technologies in the cloud (on-prem experience is nice-to-have), vulnerability management, and incident response.Coding experience in Python and/or Golang, primarily as it relates to infrastructure tools.Excellent communication and interpersonal skills, with the ability to effectively communicate complex security concepts to both technical and non-technical audiences.A proactive and results-oriented mindset, with the ability to work independently, take ownership of projects and drive them end-to-end across teams.You are comfortable with ambiguity and are a self-starter who thrives in a fast-paced environment.Hands-on experience with AWS technologies (e.g. EC2, VPC, NLB, etc.).A passion for security and a desire to stay up-to-date with the latest threats and technologies.Ability to work at our Palo Alto office 2-3 days a week 🫱🏼‍🫲🏾 Compensation:$192,500-$295,000 for Bay AreaThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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About Us:Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our Team:Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be considered.About the RoleHippocratic AI is seeking a Director of Customer Success to lead our most strategic health system partnerships and a high-performing team of Customer Success Executives. In this role, you will combine executive-level client ownership with hands-on leadership of solution deployment, workflow adoption, and measurable long-term impact delivery.You’ll be a player-coach: directly managing enterprise client relationships while mentoring and developing a team that delivers scalable, repeatable success across our client base as well as shaping the playbooks, metrics, and processes that will scale our Customer Success function. This role is ideal for a healthcare-savvy leader who thrives in startup environments and knows how to translate early product-market fit into durable enterprise value.What You’ll DoLead, coach, and develop a team of Customer Success Executives, fostering a culture of accountability, collaboration, and continuous improvementServe as the executive point of contact for major health system clients, building trusted relationships with CNOs, CMIOs, COOs, and other senior stakeholdersLead enterprise implementations of Hippocratic AI solutions, ensuring alignment with client operational priorities and clinical workflowsCollaborate cross-functionally with Product, Engineering, and Sales to incorporate customer feedback and insights into product evolution and go-to-market strategyIn alignment with health system leadership, define, track and communicate client success metrics that measure clinical, operational, and financial impactGuide change management strategies and influence adoption across complex health system environmentsCodify best practices for onboarding, training, and workflow integration, setting the foundation for a repeatable, scalable CS modelRepresent Hippocratic AI at conferences, webinars, and industry forums positioning the company as a trusted partner in healthcare AI innovationSupport future team growth by mentoring junior team members and contributing to hiring and onboarding new Customer Success Executives What You BringMust-Have:8–12+ years of experience in healthcare, including 5+ years in customer-facing leadership roles working with or within health systemsProven ability to lead and develop teams managing enterprise accounts and drive impact across large, matrixed provider organizationsDeep knowledge of clinical workflows, operational processes, and care delivery models (especially nursing or revenue cycle)Experience leading cross-functional initiatives in a startup or high-growth technology environmentStrong executive presence and communication skills, with comfort presenting to and influencing clinical and operational leadershipDemonstrated success in implementation excellence, change leadership, and delivering measurable results in healthcare innovation Nice-to-Have:Experience with AI, digital health, or clinical decision support toolsBackground in consulting, health tech, or clinical operations transformation Prior exposure to regulatory, compliance, or data governance considerations in healthcare

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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEThe Solutions Architect (Public Sector) role at Poolside is a uniquely hands-on position that blends deep technical execution with high-impact customer engagement.As a Poolside SA, you’ll take end-to-end ownership of how our AI platform is deployed into large enterprise and government environments. You’ll work directly with customers to design, deploy, and support highly secure and performant infrastructure—often tailoring Terraform and Kubernetes configurations to fit mission-specific requirements.Beyond implementation, you’ll also help evolve how Poolside is deployed across air-gapped, hybrid, and cloud environments—shaping our deployment architecture as we scale into new markets.This is not a pre-sales demo role. It’s a hybrid between solution design, DevOps, and deployment engineering—ideal for someone who enjoys building, automating, and troubleshooting real systems in production.YOUR MISSIONEnsure every Poolside customer achieves a fast, reliable, and secure deployment—whether in AWS, private cloud, or fully air-gapped environments—while continuously improving our deployment tooling and processes.RESPONSIBILITIESArchitect & Deploy: Design and customize Poolside deployments across Kubernetes and Terraform-based environments (cloud, hybrid, on-prem).Troubleshoot & Optimize: Diagnose complex infrastructure and networking issues across clusters, storage, and CI/CD pipelines.Automate & Improve: Build automation workflows using Ansible, GitHub Actions, or ArgoCD to streamline provisioning, upgrades, and monitoring.Collaborate & Guide: Work directly with customer DevOps and security teams to ensure compliance, reliability, and observability.Evolve the Platform: Contribute to Poolside’s core deployment framework—improving standardization, resilience, and operator experience.Document & Share: Maintain clear runbooks, deployment guides, and internal documentation for repeatable success.SKILLS & EXPERIENCEStrong hands-on experience with Kubernetes (Helm, operators, manifests, troubleshooting pods, services, ingress, etc.)Proficiency in Terraform for infrastructure provisioning (AWS preferred; Azure or GCP also valuable)Deep understanding of networking, load balancing, DNS, and certificatesComfort with Linux, Docker, Git, and modern DevOps workflowsFamiliarity with monitoring & observability stacks (Grafana, Prometheus, Datadog, etc.)Experience with automation tools such as Ansible, ArgoCD, or GitHub ActionsStrong debugging and process-of-elimination troubleshooting skillsExcellent written and verbal communication—able to bridge engineering detail and customer contextActive TS/SCI Clearance preferredNICE TO HAVEExperience deploying or securing AI/ML systems in productionFamiliarity with RKE2, air-gapped environments, and STIG-hardened operating systemsProgramming knowledge in Python, Go, or BashBackground in government, defense, or regulated industriesWHY THIS ROLE IS DIFFERENTPoolside SAs aren’t just supporting customers—they’re shaping how our platform is delivered to the world’s most demanding environments. You’ll operate at the intersection of infrastructure engineering, product development, and customer impact, helping define what enterprise-grade AI deployment looks like.PROCESSIntro call with José, our Head of Production EngineeringTeam-fit call with Beatriz, our Head of PeopleTechnical Interview(s) with a panel composed by José and other Founding EngineersCustomer discussion with one of our Sales representativesFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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The Country Manager, Norway will be heading Shield AI´s operational execution and growth in Norway. This person will lead and manage an in-country team, with a demanding job, and a very high level of responsibility and accountability to perform and deliver results but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company.    He/she will be responsible for building and strengthening Shield AI’s military and political influence including setting and execution of defined capture strategies.    Lead cross-functional integration, serving as the unifying figure across Shield AI´s Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination.  What You'll Do Build and strengthen Shield AI’s military and political influence in country through sustained engagement with key political and government stakeholders, and industry partners.  Ensure operational execution, offset obligations, oversee delivery of current contracts and accountability for key performance metrics, team outputs, and customer satisfaction.  Partner with legal for regulatory and export requirements. Embody and lead with Shield AI’s mission, values, and leadership principles.Set and execute the capture strategy for the country, ensuring long-term growth across sales, partnerships, and influence operations.  Lead cross-functional integration, serving as the unifying figure across Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination. Engage with customers regularly to present and discuss Shield AI product portfolio Attend trade shows, exhibitions, or other industry events to espouse Shield AI products Devise and coordinate marketing and government relations opportunities Build and devise the structure of industry partnerships Plan and execute product demonstrations Lead proposal response Develop offset strategies  Required Qualifications Proven leadership and/or operational experience within the defense segment Specific strategy or business development experience in Europe (focus BENELUX) Prior UAV or AI business development experience in a defense-related context Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systems Strong research and analysis skills Relevant BENELUX Language Skills (e.g., Dutch, French languages) 

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! What we offer  Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities. What You’ll DoTrack, log, and manage all quality issues arising in the data center during deployment and production environment Perform root cause analysis (RCA) for every failure (hardware, software, process)Analyze production system metrics and quality data to detect trends, anomalies, or weak pointsImprove turnaround time (TAT) for Return Merchandise Authorization (RMA) processesDesign, monitor, and drive corrective and preventive actions (CAPA)Implement and verify containment actions to keep systems operational until permanent fixes are applied.Collaborate with operations, hardware, engineering, supply chain, and vendors to resolve quality issuesCapture and upload failure analysis (FA) reports and related data into Quality Management Systems (QMS)Verify quality of spares (incoming and outgoing) to avoid repeat failures.Define and track quality KPIs / SLAs and report on quality performance to leadershipOversee MRB (Material Review Board) inventory, rework, disposal decisionsEnsure the quality management system (QMS) is up to date, with necessary training rolled outWork cross-functionally during hardware ramp, deployments, and upgrades to ensure quality gatesUp to 30% travel may be required for this role.YouHave experience working with hardware / data center / infrastructure systemsAre strong at data analysis, statistics, and metrics (you can turn raw data into insight)Are skilled in root cause analysis methods (5 Whys, fishbone, 8D, A3, etc.)Are comfortable managing cross-team communication, stakeholder expectations, and conflict resolutionAre detail-oriented, process-driven, and quality-mindedHave experience working with quality tools or QMS software (e.g. audit modules, ERP, defect tracking)Communicate clearly in English (both written and verbal)Nice to HaveExperience in the machine learning / AI infrastructure / GPU / HPC / computer hardware industryExposure to data center standards, certifications (e.g. ISO, Uptime Institute, etc.)Experience working on vendor quality, supply chain quality, or incoming inspectionsUnderstanding of firmware, embedded systems, reliability engineeringFamiliarity with scripting or automation (Python, SQL, etc.) to help with data processingExposure to cloud or hyperscaler infrastructure operationsExperience with “manufacturing-like” quality concepts applied to compute hardwareSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.