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Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems. You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members. This role combines substantial engineering work with technical leadership and delivery ownership.   WHAT YOU'LL DO - Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment. - Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards. - Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early. - Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost. - Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows. - Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling. - Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery. - Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures. - Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid. - Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.   WHAT WE'RE LOOKING FOR - Experience building, deploying and operating production software on a major cloud platform. - Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD. - Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code. - Experience with data pipelines, object storage, relational databases and reliable processing of large datasets. - Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely. - Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards. - Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work. - Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists. Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack. WHAT SUCCESS LOOKS LIKE? The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Technical Project Manager for Network Infrastructure. This is not a "make slides, chase tickets, and ask engineers for status" job. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn trust in a room full of SREs, SWEs, network engineers, security and platform teams. You will work with a high degree of independence, set up the project management practices for your area from scratch, and stay close to the technical details yourself. The "T" matters. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why a provisioning flow must survive real-world constraints, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, ask sharp questions, and turn a vague but important problem into an executable plan. The "P" is project delivery with a product mindset, even if the product is internal infrastructure. Your product may be secrets and robot-user management, an SLO framework, a firmware rollout process, a network observability platform, CI/CD for network devices, or automation that makes day-0 and day-N operations safe. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. That means adoption, communication, documentation, feedback loops, and sometimes a bit of internal "marketing": the ability to convince smart technical people that the thing is worth using. The "M" is management of execution, not people management. You will not be responsible for engineers' careers, performance reviews or promotions. You will be responsible for making important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, creating clarity where things are unclear, and making sure we ship useful outcomes instead of collecting half-finished initiatives. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Own end-to-end delivery of cross-team network infrastructure initiatives, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Track dependencies and risks across teams and time zones, and keep stakeholders informed with clear, honest status Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Establish and run lightweight, effective project management practices: planning, prioritization, reviews, and post-launch follow-up Work with regional teams and external partners (vendors, carriers) on the rollout of new network capabilities Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in technical project management, engineering management or a hands-on engineering role (SRE, SWE, network or infrastructure), with a track record of delivering complex cross-team infrastructure projects A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments without formal authority Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience delivering projects with distributed teams across European, Middle Eastern and African time zones Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (scripts, tooling, automation) alongside project work Examples of initiatives you may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

• Опыт аналитической работы в ИТ от 4 лет.

• Опыт 5+ лет. • Опыт работы с высоконагруженными системами.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As our first sourcer in this region, you will play a meaningful role in building and scaling Mistral in Korea. You will identify and attract top Technical talent in the Korean market, ranging from ICs to CTOs and Research leaders, feeding back market knowledge and create a powerful Talent flywheel for Mistral. What you will do - Identify and attract top Applied AI and Applied Science Talent for Mistral, with a systematic approach to target the most relevant startups, tech companies and competitors - Source through comprehensive bools but also leverage your networks with the end outcome of accelerating top of funnel with high quality Talent - Draft highly effective, personalized outreach that resonate deeply with ideal candidate profiles - Collaborate closely with the APAC TA team and hiring managers, to refine and iterate sourcing strategy About You - Master sourcer with 5+ years of relevant experience recruiting top Tech Talent in South Korea - Passionate, obsessive and geeky about sourcing as a craft - Access to networks that you can leverage on day 1 to fulfill critical business needs - Collaborative, curious with an insatiable appetite for learning - High learning agility to ramp up and high ownership to drive outcomes - Creative and entrepreneurial with ideas on sourcing Talent - Fluent in English and experience recruiting internationally - Ideally, proficiency with Ashby, LinkedIn Recruiter, and AI tools (Vibe, Claude) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Build Sierra’s enterprise platform capabilities. You’ll design and build the foundational systems and capabilities that enable Sierra to serve the world’s largest and most demanding enterprises. This includes the identity, access management, integration points, and extensibility that enterprise customers require to allow customers to embed Sierra into their existing ecosystems. - Scale with our largest customers. Our enterprise customers have complex environments, strict security requirements, and high expectations for reliability. You’ll ensure Sierra’s platform scales across organizations, regions, and use cases while maintaining performance and simplicity. - Form the foundation of trust. Enterprise customers trust Sierra with their most sensitive workflows and data. You’ll help set and uphold a high bar for security, compliance readiness, reliability, and operational excellence across the platform. WHAT YOU’LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER… - Experience building enterprise features such as SSO, RBAC, IAM, audit logs, or compliance-adjacent systems. - Experience with integrations, APIs, and working with complex customer environments. - Backend-leaning full-stack experience building enterprise SaaS applications. - Security-adjacent experience (e.g., auth, permissions, data isolation, threat modeling). - Experience building AI-powered products or platforms. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. - Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. - Monitoring: Build systems for proactively monitoring agents for defects or new patterns. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. OUR MISSION Build and scale the logistics capabilities that enable Mistral AI to deploy, operate and expand high-density compute infrastructure reliably. Own the flow, custody, traceability and readiness of high-value hardware, critical spares and associated materials - from supplier dispatch through site receipt, storage, deployment, repair and end-of-life disposition. Deliver speed without compromising safety, inventory integrity, security or cost control. OPERATING CONTEXT & ACCOUNTABILITY You will coordinate closely with Data Center Operations, IT Operations, deployment teams, Procurement, Finance, Security, Safety, colocation operators, carriers and OEM service partners. The role owns Mistral logistics processes and supplier performance. KEY RESPONSIBILITIES - DEPLOYMENT LOGISTICS AND SITE READINESS - Plan inbound and outbound movements for accelerator servers, racks, networking equipment, CDUs, replacement parts, tooling and deployment consumables across sites and staging locations. - Translate deployment schedules and bill-of-materials requirements into shipment plans, delivery windows, site receiving capacity, material availability and clear responsibility assignments. - Coordinate with business partners and site teams on loading bays, access approvals, delivery routes, floor loading, rack handling, lift plans, packaging removal, temporary storage and installation sequencing. - Identify logistics dependencies that could delay energization, commissioning, rack acceptance or compute availability; maintain escalation paths, contingency plans and recovery actions. - Create consistent procedures for goods receipt, inspection, damage recording, quarantine, staging, pick/pack, handover and proof of delivery, including exceptions and nonconformances. - Manage reverse logistics for defective equipment, repair exchanges, warranty returns, redeployments and end-of-life assets, with documented chain of custody and secure disposition. KEY RESPONSIBILITIES - INVENTORY, SPARES AND ASSET TRACEABILITY - Define and maintain an accurate inventory and asset-control framework for Mistral-owned equipment, including serialized items, location, ownership, status, movement history and reconciliation with IT asset records. - Set and monitor critical spare-parts policies with IT Operations and OEM partners: minimum/maximum stock, lead times, failure demand, replenishment triggers, shelf-life and obsolescence exposure. - Establish auditable stock movements, cycle counts, physical inventories, discrepancy investigations and controls for high-value or sensitive components. - Monitor stock health, aging, availability, stranded inventory, shrinkage and repair turnaround; use evidence to optimize local versus regional stocking decisions. - Coordinate secure storage conditions, ESD-sensitive handling, environmental requirements, battery transport/storage rules where applicable, and restricted access to valuable hardware. - Develop common inventory taxonomy, operating procedures and system integrations to support growth across sites, providers and countries. KEY RESPONSIBILITIES - SUPPLIER, TRANSPORT AND COMMERCIAL PERFORMANCE - Oversee third-party logistics providers, freight forwarders, warehouses, specialist rigging partners and couriers against agreed service levels, security controls and escalation requirements. - Work with Procurement and Legal on supplier selection, scopes of work, insurance, liability, transport terms and measurable performance expectations. - Coordinate cross-border shipping requirements with qualified customs and trade-compliance specialists, including import/export documentation, duties, restricted goods and relevant sanctions/export controls. - Monitor freight, warehousing, handling, repair and expedite costs; challenge avoidable spend while protecting deployment dates and service restoration capability. - Lead supplier performance reviews, delivery-failure investigations and corrective action follow-up; develop alternative routes and providers for critical supply chains. - Maintain reliable forecasting and reporting of expected arrivals, shortages, inventory exposure, blocked shipments, deployment readiness and outstanding returns. KEY RESPONSIBILITIES - SAFETY, RESILIENCE AND CROSS-FUNCTIONAL EXECUTION - Partner with Safety and site teams to assess high-risk material handling, rack moves, lifting/rigging, traffic management and contractor interfaces; verify that required plans and competent resources are in place. - Coordinate physical-security requirements, access permissions, tamper evidence and chain of custody for sensitive or high-value technology. - Develop practical business-continuity plans for shipment disruption, customs holds, supplier shortages, loss or damage in transit, and urgent hardware replacement needs. - Work with IT Operations and OEM service partners to prioritize material flows during incidents and reduce mean time to restore affected compute capacity. - Create clear operating rhythms and decision records across engineering, deployment, site teams and suppliers; escalate risks early and close actions with evidence. TEAM LEADERSHIP & ORGANIZATIONAL DEVELOPMENT - Build, lead, and scale the team across regions, aligning organizational capabilities, staffing levels, and resources with Mistral AI’s growth trajectory and operational requirements. - Supervise, coordinate, and support team members, ensuring clear accountability, effective collaboration, and consistent execution of responsibilities. - Define the organizational structure, roles, responsibilities, and resource allocation required to support current operations and future expansion. Recruit, onboard, develop, and retain high-performing professionals, ensuring the team possesses the technical expertise and capabilities required to meet business objectives. - Establish clear performance expectations, measurable objectives, and development plans; conduct regular performance reviews and provide constructive feedback and coaching. - Drive standardization of processes, procedures, and best practices across regions while accommodating local operational and regulatory requirements. - Foster a culture of ownership, accountability, continuous improvement, knowledge sharing, and operational excellence. Collaborate with cross-functional leaders to anticipate resource requirements, address organizational gaps, and ensure effective coordination across teams. - Develop succession plans and strengthen internal capabilities to support organizational resilience and long-term scalability. - Manage team priorities, workload distribution, and resource planning, ensuring effective execution while maintaining quality, safety, and operational efficiency. WHAT SUCCESS LOOKS LIKE - Critical hardware and materials arrive complete, traceable, secure and ready for deployment when needed. - Inventory accuracy is consistently high, with timely reconciliation and documented custody for valuable assets. - Critical spare parts are available according to risk-based targets, reducing restoration delays and avoidable downtime. - Logistics exceptions, shipment damage, deployment blockers and supplier failures are identified early and resolved with measurable corrective actions. - Logistics processes scale across new sites without sacrificing safety, compliance, cost discipline or execution speed. MINIMUM QUALIFICATIONS - At least 5 years of relevant experience in logistics, supply chain, warehouse operations, hardware deployment or inventory management in a complex technical environment. - Hands-on experience coordinating high-value equipment shipments, third-party service providers, site receiving, stock controls and reverse logistics. - Ability to establish auditable inventory processes, analyze operational data, manage exceptions and deliver against demanding deployment timelines. - Working knowledge of transport, handling and workplace safety requirements; ability to engage relevant specialists on customs and international trade compliance. - Strong cross-functional communication, supplier management and problem-solving skills; professional English and willingness to travel to operational sites. PREFERRED QUALIFICATIONS - Experience supporting data centers, AI/HPC infrastructure, hyperscale hardware deployments, enterprise IT logistics or complex industrial equipment. - Familiarity with serialized GPU/server assets, rack-scale systems, networking equipment, specialist lifting and ESD-sensitive components. - Experience implementing warehouse management, enterprise resource planning or IT asset-management systems and inventory dashboards. - Experience with international shipping, freight forwarding, customs interfaces, repair/RMA workflows and multi-site critical spares strategies. - Experience improving supplier performance, stock availability, forecast accuracy and logistics cost-to-serve. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Bessé-sur-Braye, Pays de la Loire Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role   Mistral is seeking a Data Center Operations Manager to oversee the build, run, and operational excellence of our data centers in the Paris Region. This role is critical to ensuring the reliability, security, and efficiency of our HPC infrastructure as we scale our AI capabilities. Primary Location: Besse-sur-Braye   Key Responsibilities   • Lead the operational management of Mistral’s data centers ensuring seamless coordination and high availability. • Organise and manage onsite operations, technical support, maintenance, and emergency response to ensure 24/7 reliability. • Coordinate hardware deployment, upgrades, and decommissioning with third-party suppliers, ensuring alignment with project timelines. • Follow industry best practices to ensure high-quality installations and adherence to security protocols, contractual obligations, and regulatory requirements. • Oversee ticketing systems for incident resolution, ensuring timely communication and stakeholder updates. • Manage inventory of spare parts and logistics to minimise downtime and maintain operational continuity. • Problem-solve technical issues and mediate challenges to ensure maximum uptime and performance of data center resources. • Provide regular updates to internal and external stakeholders on operational status, risks, and improvements. • Manage local contracts with DC providers and OEM. • Manage the site’s annual operating budget (OpEx) for utilities, maintenance services, and consumables, driving site cost efficiency. • Establish, implement, and enforce robust Health, Safety, and Environmental (HSE) policies and protocols for all site personnel, contractors, and visitors, ensuring compliance with local regulations. • Identify and implement opportunities for the automation of routine operations tasks (e.g., alert handling, reporting, and asset tracking) to improve team efficiency.     Qualifications & Experience   • Degree in Computer Science, Electrical/Mechanical Engineering, or related field, or equivalent experience, with a strong understanding of data center technical requirements and operations. • Proven track record in data center operations, hardware management, or infrastructure support, preferably in HPC or cloud environments. • Experience managing large-scale infrastructure projects, including build-outs, migrations, or upgrades. • Strong ability to coordinate and lead vendors, contractors, and internal teams, including review, escalation, and contractual engagement. • Comfortable with contract negotiation and management. • Hands-on troubleshooting skills and ability to work and lead in critical situations and aggressive timelines. • Knowledge of data center security standards (physical and digital) and compliance requirements. • Relevant professional certifications such as CDCP, CDCE, or ITIL v4 are highly desired. • Language Skills: Fluency in English and French.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Build and lead a practical, high-trust health and safety program for Mistral AI’s rapidly expanding data center operations. You will protect employees, contractors and visitors while enabling safe deployment and operation of increasingly dense AI compute infrastructure across colocation sites. You will turn complex operational risks into clear standards, effective controls and measurable improvements. Operating context & accountability You will be the safety partner to Data Center Operations, IT Operations, infrastructure delivery, Security, Legal and People teams, and work directly with colocation operators, installation contractors and OEM service partners. Your remit spans live sites, deployment projects, commissioning and transitions into operations. You will ensure that safety responsibilities are clearly defined and that Mistral-controlled activities meet applicable requirements while challenging partner performance where shared interfaces create risk. Key responsibilities - safety management and compliance - Own the operational health and safety management framework for the data center portfolio: policy, critical-risk standards, annual objectives, assurance calendar, risk registers, incident classifications, documentation and management reporting. - Interpret applicable occupational health and safety requirements with local specialists; translate them into site-level expectations, control plans and auditable evidence across different countries. - Lead regular risk assessments, inspections and assurance reviews; prioritize findings by severity and exposure, assign owners and verify corrective actions have actually reduced risk. - Create consistent arrangements for site access, inductions, competency checks, contractor onboarding, safety briefings and refresher training, including evidence of completion. - Develop meaningful leading and lagging indicators, including high-potential near misses, overdue critical actions, training coverage, contractor observations and incident trends; present clear recommendations to leadership. - Support supplier selection and contract reviews by defining appropriate safety requirements, escalation expectations and minimum standards for colocation and technical service partners. Key responsibilities - operational and technical risk - Provide safety oversight for electrical work interfaces, energized equipment, isolation and lockout/tagout, switching coordination, arc-flash exposure and simultaneous activities in live data halls. - Assess safe systems of work for heavy rack deliveries, lifting and rigging, material handling, battery systems, working at height, temporary works, confined spaces where relevant and high-density IT installation. - Review method statements, risk assessments, permits to work and job safety analyses for high-risk activities, ensuring that scope, boundaries, competence, emergency arrangements and hold points are understood. - Partner with engineering teams on the risks introduced by direct-to-chip liquid cooling, CDUs, coolant handling, pressurized circuits, leak detection, hot surfaces and changing rack densities. - Participate in readiness reviews before energization, commissioning, major deployments and changes in operating configuration; confirm critical safety issues are resolved or escalated before work proceeds. - Coordinate emergency planning and drills with colocation operators and emergency responders for fire, evacuation, electrical incidents, coolant leaks, medical emergencies and loss of critical infrastructure. Key responsibilities - investigations and culture - Lead or coordinate investigations of incidents, unsafe conditions and high-potential near misses involving Mistral activities; use structured causal analysis and share actionable learning across the portfolio. - Challenge the completeness and quality of provider or contractor investigations when Mistral personnel or equipment may be exposed; track preventive measures through verification. - Coach engineers, managers and vendors to identify hazards early, stop unsafe Mistral-controlled work and raise concerns without hesitation. - Build strong partnerships with operations, construction, logistics, physical security, compliance and HR; communicate safety expectations clearly in written guidance, training and site discussions. - Provide practical support to other regions during major incidents, rapid expansion or unusual operational risk. What success looks like - Critical activities are governed by clear, adopted controls and a consistent standard across sites. - High-severity findings are visible, owned and resolved; incident learning results in verified preventive action. - Site and contractor training, emergency readiness and compliance evidence are maintained and readily accessible. - The safety program scales with infrastructure growth without creating unnecessary bureaucracy. Minimum qualifications - At least 5 years of practical health and safety experience in operational, industrial, construction or mission-critical environments. - Experience implementing safety programs, contractor controls, inspections, risk assessments, investigations and training. - Working knowledge of occupational safety regulations and high-risk work controls; ability to coordinate country-specific requirements. - Strong communication and influencing skills across technical teams, suppliers and senior stakeholders; fluent professional English. - Ability to work regularly on site and travel between data center locations; valid driving licence where required for site access. Preferred qualifications - Data center, manufacturing, power infrastructure or complex construction experience involving employees and multiple contractors. - Experience with electrical safety, critical mechanical systems, commissioning and work in live operational facilities. - Recognized HSE qualification and familiarity with ISO 45001-based management systems. - Experience with international portfolios, colocation operators and high-density IT or liquid-cooled systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Borlänge, Dalarna Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will work every day on the racks that power one of Sweden's largest AI clusters. Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our clusters healthy, safe and growing — hands-on, in the data center at the intersection of high-performance computing and physical infrastructure. You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond. Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end. Location: On-site at our data center in Dalarna region. WHAT YOU'LL DO - Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). - Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas. - Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on. - Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors. - Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills. - Be a good teammate — clear status updates, honest handovers and respect for the people around you. ABOUT YOU - Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting. - Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship. - Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness. - Basic Linux (boot checks, logs) — scripting is a plus, not a requirement. - Physically able to work in racks (lift, mount, maneuver) in a data center environment. - Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations. - Driver's licence (B) for travel between our sites. Even if you don't match every criterion Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching. NICE TO HAVE - HPC/AI/cloud production experience at scale; large-fleet server install and maintenance. - Networking fundamentals (Ethernet/InfiniBand) beyond basics. - Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems. - Python/Bash automation for checks, capture, inventory or reporting.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Growth Engineering WHY THIS ROLE EXISTS Higgsfield's Growth team runs on an internal platform. We need a Business Engineer to turn operational bottlenecks into software, from the data model and API to the screens the team uses every day. You own features through launch, adoption and production support. WHAT YOU'LL ACTUALLY DO - Turn growth team problems into useful features. Define a small first release and build it across backend and frontend. - Own database schemas, query performance and safe migrations on a live database. - Build third-party integrations that handle API quotas, rate limits, retries and webhooks. - Make payment and messaging workflows safe to retry, without duplicate payouts or sends, and keep an audit trail. - Ship LLM features and measure quality, latency and cost per result. - Own environments, releases, monitoring, security and access. Share on-call responsibility. - Define success metrics, track adoption after launch and improve what you ship. MUST-HAVES - Production experience. You've built and operated backend systems and can explain your decisions, personal contribution and results. - Strong Python and full-stack delivery. You build backend services and React screens when a feature needs them. - Deep PostgreSQL knowledge. Data modeling, query plans, indexes, transactions, locking and migrations on live databases. - API security. Authentication, object-level authorization and role isolation. You prevent IDOR on reads and writes and test access as different users. - Hands-on operations. Linux, containers, CI/CD, monitoring and debugging production from logs. You can run what you build. - High agency and ownership. You find worthwhile problems, remove blockers and follow through without waiting for assignments. - Low ego. You welcome direct feedback, admit mistakes and change your mind with evidence. - Energy for an intense pace. The team ships daily, priorities shift and urgent production issues can need you outside regular hours. OUR TECH STACK - Languages: Python and TypeScript. - Backend: Python and Node.js services, REST APIs, background workers and scheduled jobs. - Frontend: React with server-side rendering. - Data: PostgreSQL and S3-compatible object storage. - Infrastructure: Linux, Docker and GitHub Actions CI/CD. - AI: LLM APIs from major providers. - Quality: Static typing, linters and automated tests in both languages. Bonus experience: Influencer marketing, affiliate programs or creator payouts; large-scale YouTube data within API quotas; email outreach and deliverability; LLM evaluations, prompt regression sets and cost tracking. INTERVIEW PROCESS 1. Recruiter screen: role expectations, logistics and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Practical task: a real problem from our backlog, under NDA. You design the data model and API, write the core of it and explain your trade-offs. 4. Product interview: turn a growth team problem into a small first release, decide what to leave out and explain how feedback would change it. 5. Offer. WHAT WE OFFER Competitive base in USD, equity, relocation support, and ownership of the systems Higgsfield's growth runs on.

Location: New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: We’re looking for a hands-on Growth engineer to help grow Notion’s Startups and SMB programs. You’ll work closely with our Ecosystem Growth Lead to help more businesses grow with Notion. You can spot opportunities in the data and own the executing on the plan that follows. You’re comfortable getting into the tools yourself, moving quickly without sacrificing accuracy, and staying accountable for results.   This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Work with a small team that operates like a growth lab. Startups and SMBs are the proving ground for ideas that can change how Notion grows. - Build and launch new growth programs, from creator-led acquisition to AI-powered systems for testing new audiences and campaigns. Bring your own ideas and take responsibility for getting them off the ground. - Move quickly from a rough hypothesis to a live experiment. Write code for new in-product experiences and build alongside Storytelling, Product, and Engineering to get your work into customers’ hands. - Use SQL and customer research to find overlooked opportunities. Measure what changes customer behavior and revenue, and use the results to choose where to go next. - Turn the strongest experiments into programs other teams can run. Build the systems and playbooks for them to expand across Notion, then take on the next growth challenge. SKILLS YOU'LL NEED TO BRING: - 2+ years and a record of shipping growth or operations projects. You can explain what you personally built and what changed as a result. - Typescript, Full-stack, and Systems-thinking - Strong SQL and analytical judgment. You can work through messy data and distinguish a promising signal from a misleading result. - Hands-on experience building campaigns or automated workflows in tools such as Customer.io http://Customer.io, Salesforce, or comparable platforms. - The ability to take an ambiguous goal and execute on growth initiatives. You unblock yourself where possible and communicate clearly when you need another team’s help. - Experience with self-serve SaaS or startup and SMB customers is a plus. If you’ve done similar work but with a different title, we’d love to hear from you! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $150,000 - $180,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Product Data Analyst. In this role, you’ll build and maintain analytical assets that support day-to-day decision-making across the product & business domains . You’ll work end-to-end: from shaping raw data into reliable datasets, to creating dashboards stakeholders actually trust to running deeper analyses that clarify what’s happening and what to do next. You’ll also help develop AI-assisted analytics tools that reduce manual reporting and surface anomalies early. You’re welcome to work in our office in Amsterdam Your responsibilities will include: Master Product Analytics data and metrics & provide insights & consultancy to stakeholders and senior Management . from Product & Business domains. Act as their analytical thought partner and data focal point . Dashboard development. Design, implement, document, and maintain interactive dashboards used by business stakeholders. Improve existing dashboards by optimizing usability, performance, and metric definitions. Data engineering support. Contribute to ETL/ELT processes and data modeling: validate sources, monitor data freshness, improve data quality checks, and troubleshoot pipeline issues with clear root-cause writeups. AI-driven analytics. Help design, test, and refine analytical AI agents that streamline reporting, standardize repetitive analysis, and proactively flag anomalies. Participate in evaluation (quality checks, false positives/negatives) and iterate based on feedback. Exploratory and ad-hoc analysis. Translate business questions into analysis plans, apply appropriate statistical methods, and communicate findings clearly (including assumptions, limitations, and recommended actions). Turn recurring ad-hoc requests into reusable assets where possible. Stakeholder collaboration. Clarify requirements, align on definitions (KPIs/metrics), and present results in a way that supports decisions—not just “interesting numbers.” We expect you to have: +4 years of experience as a product / business / data analyst Strong proficiency in Python and SQL , and confidence using Excel when it’s the fastest tool for the job. You can write readable queries/code and validate your outputs. Solid grounding in statistics and analytical thinking : descriptive statistics, hypothesis testing, regression fundamentals, and the ability to choose the right approach for the question. Experience producing clear, accurate visualizations and explaining what matters in plain language. High attention to detail and data quality mindset : you notice inconsistencies, validate definitions, and build checks instead of relying on hope. Structured problem solving : Turns vague business questions into clear metrics, hypotheses, and actionable analysis. Ownership & accountability : Takes work end-to-end, follows through, and proactively communicates progress/risks. Clear stakeholder communication : Explains insights simply, aligns definitions, and delivers concise summaries people can act on. Communication : Working knowledge of spoken and written English It will be an added bonus if you have: Experience with BI tools (e.g., Tableau, Power BI, Looker, Superset). Familiarity with modern data stacks ( DBT , Airflow, BigQuery /Snowflake/Postgres, etc.). Comfort with experiment analysis / cohort analysis / funnel metrics Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United Kingdom; Dublin; Spain; Hungary; Bulgaria; Germany; Poland; Italy; Netherlands; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're building agents that run real parts of our business, take on real work, and get better based on the results they produce. You'll build them with whatever is most capable right now: our own agents platform, the latest orchestration tools, and frontier models. The hard part is making them reliable, measurable, and safe enough for the business to depend on. You'll sit in Marketing Engineering and be forward-deployed to our growth pods, where you'll find the problems worth solving and own the solutions end to end. You might be a forward-deployed builder, an applied AI engineer who has taken agents beyond the demo stage, or a full-stack engineer who is curious about growth. REQUIREMENTS - Python, SQL, LLM APIs and agent orchestration - You've shipped production systems that other people relied on, starting from a vague problem - You've built with LLMs beyond a demo and know how to evaluate them and where they fail - You measure whether what you built worked - Bonus: experience with GTM data or marketing systems.   LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Paris Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on. THE ROLE AI agents don't run in browsers. They run in sandboxes — and you will build ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go and own the architecture and the hardest implementation decisions. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 5+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.