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Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

-Проектирование, подбор параметров и создание эффективных промптов для решения конкретных бизнес-задач. -Высшее техническое образование.

Location: Toronto; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? In this role, you will manage the team that owns the Cohere inference APIs and SDKs, as well as the Cohere Dashboard, where customers can access our models, manage teams, and audit billing. You will collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere APIs and Cohere Dashboard have to offer. As a hands-on leader, you will shift seamlessly between roles as mentor, strategist, and technologist to guide the team toward shared success. Join our team of builders who are shaping the future of large language models! AS AN ENGINEERING MANAGER OF THE COHERE APIS AND DEVEX TEAM, YOU WILL: - Manage, mentor, and grow a talented and enthusiastic team of backend and full-stack software engineers - Participate in model releases and develop new API capabilities - Work closely with Modelling and Model Serving teams - Collaborate with UX designers to ensure customers have an easy and delightful time managing teams, API keys, billing and configurations. - Oversee and contribute to open source projects YOU MAY BE A GOOD FIT IF: - You have experience managing engineering teams and a proven track record of delivering high-quality software - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Go, Next.js, TypeScript, and React - You are passionate about recruiting and growing people and teams - You are passionate about building rapport with your team and you prioritize 1:1s - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Palo Alto; San Francisco 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. ROLE SUMMARY  As Legal Counsel, you’ll be an early member of the Mistral legal team in the US, which forms part of the global legal team. The core of this role is (a) drafting and negotiating commercial agreements to support the growth of our business in North America and (b) supporting the development of AI tools to scale Mistral’s legal operations. As part of a start-up legal team, you’ll need to be nimble enough to quickly ramp up on new areas of law, such as product matters (privacy, marketing, and regulatory compliance), intellectual property, and other matters, as needed. You should be comfortable with charting new paths and interested in designing the legal department of the future. WHAT YOU WILL DO - Draft, review, and negotiate commercial contracts across the business, including customer MSAs and order forms and partnership agreements. - Collaborate with a cross-functional group of Mistral’s technical (including engineering, applied AI, and science), business, and legal teams. - Improve and develop tools to facilitate and automate legal workflows and approval processes, compliance with and creation of company policies, and internal training materials and guides. - Refine and create templates to scale with the company as it grows. - Provide solution-oriented legal, regulatory, and strategic advice and direction to teams across our company, from the initial stages of project development to launch and beyond. - Efficiently manage and work with outside counsel to support projects you manage. - Stay up-to-date and ensure compliance with U.S. and international laws and regulations that apply to AI technologies, including AI-specific regulations, privacy and data protection, competition, consumer protection, payments, and intellectual property. - Build positive relationships across the company and with its external partners. - Occasional travel to Paris headquarters is encouraged. WHO YOU ARE - JD from an accredited law school and member in good standing of a U.S. state bar. - 5+ years of law firm and/or in-house experience, including experience in project management. In-house experience at a technology company and/or in a fast-paced and high-growth environment is a strong plus. - Experience managing technology implementation/solutions projects to meet corporate operational standards. - Experience drafting and negotiating commercial agreements, including creating and refining form agreements. - Fluency in common AI tools, and a track record of responsibly using AI technologies to drive efficiency and process improvement. - Generalist skill set with the willingness to tackle problems outside your core expertise. - Ability to balance an attention to detail with the requirements of a fast-paced company. - Demonstrated business and pragmatic judgment, and the ability to analyze the costs/benefits of proposed resolutions to complex legal and technical problems. - Proven ability to build solid, trusting, and credible relationships, including working closely with science, engineering, business, and marketing teams. - Excellent writing, communication, and people skills. - An understanding of AI technologies and their applications, including how they intersect with relevant areas of law, such as privacy and data protection, competition, and intellectual property, and related ethical considerations such as fairness, transparency, accountability, and bias mitigation - An international mindset and experience is a plus. - Given the rapidly evolving nature of AI technologies and the legal landscape surrounding them, you should be adaptable and willing to continuously learn and update your skills and knowledge.   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; Munich; London 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 Role As an IP Rights Manager on the IP & Licensing team, you will own the operational backbone of how Mistral manages rights, obligations, and restrictions across the datasets we license. This role sits at the intersection of copyright, data protection, and AI, and exists because the volume and complexity of our data agreements have outgrown manual processes. You will work closely with the colleagues who negotiate our agreements commercially and legally, translating their work into systems, workflows, and databases that keep us compliant and scalable. The IP & Licensing team is responsible for all content and data licensing at Mistral. Your work will directly determine whether we can use the data we acquire, how we track what we are allowed to do with it, and whether our clients and partners stay within the rights we grant them. You will build the infrastructure that makes legal analysis repeatable, not just advisory. Your scope spans the full lifecycle of data-related agreements: clearing inbound data usage requests, codifying contract terms into structured metadata, tracking ongoing compliance obligations, and automating reporting. You will also design and run AI-powered workflows that handle contract review assistance, obligation extraction, and renewal alerts, turning legal judgment into scalable operations. What You Will Do - Clear inbound data usage requests by researching rights status, scope, obligations, and restrictions before data enters Mistral systems. - Review data-related agreements and codify their key terms into structured metadata, maintaining the team's template library and playbook alongside Legal. - Determine whether specific AI use cases are covered by third-party agreements, identify gaps, and recommend contract amendments. - Build and maintain a central database as the single source of truth for every signed data-related agreement, covering permitted uses, confidentiality, and re-use permissions. - Track ongoing compliance obligations and automate reporting, including renewal alerts and master licensing partnership administration. - Develop and run AI workflows for contract review assistance, obligation extraction, and compliance monitoring. - Verify provenance, ownership, and consents for acquired data, flagging obligations that must be tracked. - Monitor that Mistral clients and partners operate within granted rights, administering the approval system that enforces legal restrictions. What We're Looking For - A bachelor's degree in law, publishing, information science, business, or a related field. - 2 to 5 years of experience in copyright, permissions, licensing, legal operations, or contract administration, ideally in an AI, tech, or data-driven environment. - Solid working knowledge of EU and US copyright law and contract administration, with demonstrated ability to interpret contracts independently. - Strong attention to detail and discretion when handling confidential agreements. - Clear written and verbal communication skills, with the ability to explain legal constraints to non-lawyers. - A legal-ops mindset: you take initiative, anticipate needs through ambiguity, and think about how to operationalize legal analysis at scale. - Comfort building agentic AI workflows in a complex enterprise environment; you are an AI power user, not just a consumer. - Fluency in French, German, Spanish, or another European language is a plus, as is experience with CLM tools like Ironclad, prior work setting up AI workflows in a legal team, or contracting experience with publishing houses. 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 Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role: As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com. What you will be doing: • Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices. • Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. • Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. • Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization. • Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. • Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. • Build, own and operate your systems to the highest levels of resilience and service. • Mentor junior team members and assist in their technical development What are we looking for: • Bachelor's or Master's degree in Computer Science, Engineering, or related field • Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks. • Proficiency in C# .NET, with a strong understanding of software development principles in either a backend or full stack environment. • Great communication skills and ability to interact effectively with a wide range of stakeholders • Experience working in agile environments and delivering high-quality code within tight deadlines • Excellent problem-solving skills and the ability to work independently as well as part of a team • Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity • Payments or financial knowledge is a plus, but not a necessity • French language proficiency at a minimum B2 level Bonus Points: • Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus... • Experience with Databases like Postgresql, Mongo, Redis, ... • Direct experience solving real-world business problems through innovative, data-driven approaches. • Any experience in other programming languages not mentioned above. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Finland 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. Role Overview The Financial Controller is responsible for owning the month-end close, ensuring financial accuracy, and managing statutory and indirect tax compliance for assigned entities. The role requires strong analytical skills, ownership, and close collaboration with internal and external stakeholders. To the Financial Controller will be allocated entities from several EU countries with Finland as a primary focus area. Key Responsibilities Own and execute the month-end close, ensuring accurate and complete financial data. Analyze variances, explain key movements, and monitor financial trends. Support complex and non-routine transactions (e.g., large deals), assessing their impact on local financials and coordinating with Tax and Legal teams. Maintain and execute statutory and tax compliance activities (VAT, CIT, regulatory and statistical filings, financial statements, local audits), including maintaining a clear compliance calendar. Submission statistical reports to government authorities. Post and document statutory and tax adjustments in the ERP system. Ensure accuracy and consistency of financial data across systems (e.g. NetSuite and local reporting tools). Coordinate with Tax, Legal, and external consultants to ensure timely and accurate submissions. Coordinate with local and group external auditors during audits and reviews. Ensure compliance with internal controls (SOX controls) and maintain proper documentation. Identify and implement process improvements and automation opportunities. Key Qualifications 8+ years of experience in general accounting or financial reporting. Experience in a Big Four firm is a plus. Strong knowledge of IFRS and local GAAP. Experience in multinational or multi-entity environments. Familiarity with statutory and tax compliance processes. Experience with ERP systems (NetSuite is a plus). Advanced Excel skills and strong analytical mindset. Proficiency in English is required; knowledge of Finnish is a plus. Competencies Strong ownership and attention to detail. Analytical and problem-solving skills. Ability to manage deadlines and multiple priorities. Resilience and ability to work under pressure. Effective communication and stakeholder management. Continuous improvement mindset. 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: Israel 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 seeking a deeply technical DFIR Expert for its Digital Forensics and Incident Response (DFIR) team, working alongside the Security Operations Center (SOC). This role is a senior hands-on responder position, executing containment, eradication, and recovery on declared incidents and conducting the forensic investigations behind them, upholding the standards the DFIR team operates by. This role reports to the DFIR Lead, under the Detection and Response function within the CISO Office. Your responsibilities will include: Execute the technical response to major incidents from escalation through to recovery, in partnership with and under the direction of the DFIR Lead. Conduct end-to-end forensic investigations across cloud, platform, and endpoint environments. Handle evidence to a standard that meets legal, regulatory, and forensic requirements, including chain- of-custody discipline. Receive incident handoffs from the SOC and lead the response while the SOC continues to support the investigation. Produce post-incident deliverables: technical reports, root cause analyses (RCA), and regulatory-ready documentation. Contribute to DFIR runbooks, tooling selection and maturation, and readiness exercises (tabletops and simulations). Drive lessons-learned into measurable improvements in controls, detection fidelity, and response readiness together with the SOC, Security Engineering, and Threat Intelligence teams. Raise the wider team's forensic capability through case walkthroughs and mentoring of SOC analysts, and participate in the DFIR on-call rotation, acting as the response point of contact outside business hours. We expect you to have: Experience Around 5 years of hands-on digital forensics and incident response (DFIR) experience, including significant technical roles in large-scale, high-impact incidents (ransomware, advanced threat actors, cloud intrusions, identity compromise). Experience responding to incidents in cloud or infrastructure-heavy environments. Technical Expertise Deep knowledge of Windows and Linux internals, with proven disk and memory forensics capability. Cloud and container forensics: acquiring and analyzing evidence from cloud control planes, Kubernetes workloads, and identity systems. Fluency in attacker TTPs (MITRE ATT&CK), including the Cloud and Containers matrices. Hands-on experience with EDR, SIEM, and forensic tooling such as Velociraptor, Volatility, and X-Ways or EnCase. Strong scripting and data-analysis skills (Python, PowerShell, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions. Malware triage capability sufficient to characterize behavior, extract indicators, and inform containment decisions. Certifications such as GCFE, GCFA, GNFA, GCFR, or GREM are an advantage. Leadership & Communication Composed and decisive under incident pressure, with the ability to take clear response actions. Rigorous about evidence and intellectually honest: findings are validated and assumptions are labeled. Clear, concise communicator, able to brief technical peers and the DFIR Lead as readily as Legal, Privacy, and executive stakeholders. A genuine partner to the SOC, sharing context freely and respecting the investigation that came before the handoff. Fluent in English, written and verbal, comfortable working with international teams and stakeholders. 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.

Ваша задача — строить RAG-системы, мультиагентные процессы и интегрировать LLM (OpenAI, Anthropic Claude) в реальные системы брокера (CRM, техподдержка, KYC/Compliance, аналитика). 🛠 Требования к кандидату: 5+ лет в бэкенд / full-stack разработке.

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. THE MISSION You will work every day on the racks that power one of France'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 GPU/CPU 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 (H100/H200-class and 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 one of our data center in Bessé-sur-Braye, Pays de la Loire. 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 depending on the cluster. 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: Missouri, United States 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 The Data Center Technician Manager is a first-line people manager responsible for the day-to-day operational performance and development of DC Technician and DC Facilities Engineering staff at the site. This is the first formal people-management role in the Nebius data center technical career path. It serves as the primary operational and people-management layer between these teams and the Data Center IT Manager. The role owns performance, development, scheduling, and accountability across the DC Technician and DC Facilities Engineering disciplines. When the Data Center IT Manager is unavailable, this manager acts as the primary on-site operational authority, makes shift-level decisions across both managed disciplines, and coordinates incidents involving other site teams. The successful candidate brings deep technical credibility in data center technician operations and/or facilities engineering, along with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and represent the managed teams in site-level operational discussions. The Senior DC Diagnostic & RMA Specialist, Field Network Engineer, and Senior DC Support Engineer report directly to the Data Center IT Manager. This role is onsite in our Kansas City, Missouri data center location. Core responsibilities Own the daily operational performance of DC Technician and DC Facilities Engineering staff. Assign shift coverage, set priorities, balance workloads, and ensure open work is tracked, delegated, and completed to Nebius standards. Conduct regular one-on-one meetings with direct reports. Deliver structured performance feedback, set individual development goals aligned with the career framework, track progression, and manage performance concerns in partnership with HR and the Data Center IT Manager. Own shift handoff quality across both disciplines. Ensure incoming shifts have full visibility into open incidents, active vendor work, abnormal system conditions, deferred tasks, and escalated items before taking operational ownership. Serve as the on-site operational escalation authority during active incidents. Direct the response across managed teams, coordinate with the Lead DC Technician, Senior DC Facilities Engineer, and technical specialists reporting to the Data Center IT Manager, and escalate incidents that exceed site-level decision-making authority. Manage vendor and contractor activity on the data center floor and in engineering zones. Verify qualifications, enforce safe working practices, review and approve Methods of Procedure (MOPs) within assigned authority, oversee execution quality, and ensure work meets Nebius standards. Drive technical training and development for managed staff. Partner with the Lead DC Technician and Senior DC Facilities Engineer to identify skill gaps, arrange training, validate completion, and support progression within the Nebius career framework. Lead hiring activities for DC Technician and DC Facilities Engineering roles. Conduct structured, competency-based interviews, provide hiring recommendations, and partner with recruiting and HR on offers, onboarding, and early-tenure support. Maintain a safe, inclusive, and high-performance team culture. Address conduct, attendance, and well-being concerns promptly and in accordance with Nebius policies, safe working requirements, and applicable employment obligations. Make recommendations regarding hiring, promotions, disciplinary action, advancement, scheduling, and termination. Make routine decisions regarding workflow, staffing, escalation, and corrective actions within assigned management authority. Provide ongoing coaching, training, and performance feedback. Technical work may be performed when needed, but the position’s primary responsibility is managing the assigned team and data center operations. Expected capabilities Proven first-line management ability, including leading, developing, and holding technical teams accountable across shift-based operations in a mission-critical environment. Deep technical credibility in data center technician operations and/or facilities engineering, with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and evaluate readiness across both functions. Strong operational judgment, including assigning and reprioritizing work, managing incidents across disciplines, and making sound shift-level decisions without requiring approval for routine matters. Demonstrated performance-management capability, including delivering structured feedback, managing development plans, addressing underperformance, and supporting career progression and promotions in partnership with HR. Clear, structured communication with technicians, facilities engineers, the Data Center IT Manager, global engineering teams, vendors, and senior leadership. Proficiency in operational reporting and tracking metrics, with the ability to identify performance trends, surface risks, and recommend improvements to shift execution and team capability. Working knowledge of safe working practices, change control, emergency operating procedures, and vendor management, with the ability to learn and apply Nebius-specific requirements. Core physical requirements The role requires the ability to perform the following activities, with reasonable accommodation where applicable: Stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Safely lift, carry, and position equipment weighing up to 50 pounds independently, using appropriate team-lift protocols or mechanical aids for heavier loads. Work at heights, including ascending and descending ladders and using approved elevated work platforms. Work in confined spaces, including under raised floors, within rack enclosures, and along cable management pathways. Work in environments with variable temperatures, including cold aisle containment zones and areas with active cooling infrastructure. Handle small components, precision cabling, and connector installations. Read equipment labels, interface indicators, and detailed wiring diagrams in variable lighting conditions. Safely push or pull wheeled equipment weighing up to 500 pounds on level surfaces, using appropriate equipment-handling procedures. On-call requirement This role carries on-call responsibility as the primary management escalation point for after-hours incidents, team welfare concerns, vendor emergencies, and site-level operational events requiring management authority across both managed disciplines. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $120,000 — $145,000 USD 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: Oklahoma, United States 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 The Data Center Technician Manager is a first-line people manager responsible for the day-to-day operational performance and development of DC Technician and DC Facilities Engineering staff at the site. This is the first formal people-management role in the Nebius data center technical career path. It serves as the primary operational and people-management layer between these teams and the Data Center IT Manager. The role owns performance, development, scheduling, and accountability across the DC Technician and DC Facilities Engineering disciplines. When the Data Center IT Manager is unavailable, this manager acts as the primary on-site operational authority, makes shift-level decisions across both managed disciplines, and coordinates incidents involving other site teams. The successful candidate brings deep technical credibility in data center technician operations and/or facilities engineering, along with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and represent the managed teams in site-level operational discussions. The Senior DC Diagnostic & RMA Specialist, Field Network Engineer, and Senior DC Support Engineer report directly to the Data Center IT Manager. You will work onsite in our Oklahoma data center location. Core responsibilities Own the daily operational performance of DC Technician and DC Facilities Engineering staff. Assign shift coverage, set priorities, balance workloads, and ensure open work is tracked, delegated, and completed to Nebius standards. Conduct regular one-on-one meetings with direct reports. Deliver structured performance feedback, set individual development goals aligned with the career framework, track progression, and manage performance concerns in partnership with HR and the Data Center IT Manager. Own shift handoff quality across both disciplines. Ensure incoming shifts have full visibility into open incidents, active vendor work, abnormal system conditions, deferred tasks, and escalated items before taking operational ownership. Serve as the on-site operational escalation authority during active incidents. Direct the response across managed teams, coordinate with the Lead DC Technician, Senior DC Facilities Engineer, and technical specialists reporting to the Data Center IT Manager, and escalate incidents that exceed site-level decision-making authority. Manage vendor and contractor activity on the data center floor and in engineering zones. Verify qualifications, enforce safe working practices, review and approve Methods of Procedure (MOPs) within assigned authority, oversee execution quality, and ensure work meets Nebius standards. Drive technical training and development for managed staff. Partner with the Lead DC Technician and Senior DC Facilities Engineer to identify skill gaps, arrange training, validate completion, and support progression within the Nebius career framework. Lead hiring activities for DC Technician and DC Facilities Engineering roles. Conduct structured, competency-based interviews, provide hiring recommendations, and partner with recruiting and HR on offers, onboarding, and early-tenure support. Maintain a safe, inclusive, and high-performance team culture. Address conduct, attendance, and well-being concerns promptly and in accordance with Nebius policies, safe working requirements, and applicable employment obligations. Make recommendations regarding hiring, promotions, disciplinary action, advancement, scheduling, and termination. Make routine decisions regarding workflow, staffing, escalation, and corrective actions within assigned management authority. Provide ongoing coaching, training, and performance feedback. Technical work may be performed when needed, but the position’s primary responsibility is managing the assigned team and data center operations. Expected capabilities Proven first-line management ability, including leading, developing, and holding technical teams accountable across shift-based operations in a mission-critical environment. Deep technical credibility in data center technician operations and/or facilities engineering, with sufficient cross-disciplinary understanding to direct escalations, assess work quality, and evaluate readiness across both functions. Strong operational judgment, including assigning and reprioritizing work, managing incidents across disciplines, and making sound shift-level decisions without requiring approval for routine matters. Demonstrated performance-management capability, including delivering structured feedback, managing development plans, addressing underperformance, and supporting career progression and promotions in partnership with HR. Clear, structured communication with technicians, facilities engineers, the Data Center IT Manager, global engineering teams, vendors, and senior leadership. Proficiency in operational reporting and tracking metrics, with the ability to identify performance trends, surface risks, and recommend improvements to shift execution and team capability. Working knowledge of safe working practices, change control, emergency operating procedures, and vendor management, with the ability to learn and apply Nebius-specific requirements. Core physical requirements The role requires the ability to perform the following activities, with reasonable accommodation where applicable: Stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Safely lift, carry, and position equipment weighing up to 50 pounds independently, using appropriate team-lift protocols or mechanical aids for heavier loads. Work at heights, including ascending and descending ladders and using approved elevated work platforms. Work in confined spaces, including under raised floors, within rack enclosures, and along cable management pathways. Work in environments with variable temperatures, including cold aisle containment zones and areas with active cooling infrastructure. Handle small components, precision cabling, and connector installations. Read equipment labels, interface indicators, and detailed wiring diagrams in variable lighting conditions. Safely push or pull wheeled equipment weighing up to 500 pounds on level surfaces, using appropriate equipment-handling procedures. On-call requirement This role carries on-call responsibility as the primary management escalation point for after-hours incidents, team welfare concerns, vendor emergencies, and site-level operational events requiring management authority across both managed disciplines. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $125,000 — $145,000 USD 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: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE How we build software is changing. Designers are prototyping in code, engineers are shipping polished interfaces, and agents are starting to build directly into the product. More people and more things can create software than ever before. That makes design judgment more important, not less. We're looking for a Staff/Principal Founding Design Systems Lead to build that judgment into Render's foundations. This isn't about maintaining a component library. It's about enabling designers, engineers, and agents to build experiences that look, feel, and work like Render, without a designer making every decision or the design systems team reviewing every change. At a company whose whole promise is a platform that just works, the design system is how we keep craft scaling as the product and the team grows. This role starts hands-on. You're a designer first, with the technical depth to get into the code. You'll partner with the Head of Design to set the vision, then do the foundational work yourself: decide where or whether our Figma library lives and how it operates, get deep into what an AI-ready design system really means, and prototype, test, and ship the system in code. As the function grows, you'll build and lead the team around it. You're energized by building from the ground up, not inheriting something finished. Here's what makes this role urgent and specific to us: our users are developers, and they're increasingly building with AI agents. That cuts both ways. Inside Render, teams reach for an agent before they check the docs — so a system that isn't legible to AI quietly gets bypassed, and quality drifts toward generic output. And externally, we're building the platform where developers deploy AI-native apps and agents. The person in this role treats the design system as infrastructure for humans, machines, and velocity and has a point of view on what that takes: machine-readable documentation, system rules exposed where agents can read them, an architecture that keeps the brand and accessibility layers ours, and evaluations that catch drift before it ships. This role reports to the Head of Design. THIS ROLE IS FOR YOU IF YOU'RE EXCITED BY: Making great design reproducible, by people and agents. Raise the quality of Render's product and encode what makes it good, so a designer, an engineer, or an agent can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. Reimagining what a design system can be. Build beyond components and tokens into composition rules, interaction patterns, agent-readable guidance, and evaluations, so the fastest way to build is also a path to great quality. Building and leading a team that multiplies everyone else's impact. Start hands-on, then create the direction, ambitious goals, and caring-but-demanding environment that let a team do the best work of their careers. The opportunity is to raise the floor for everyone building at Render, human or agent, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Set the system's vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need — and turn that into focused work, much of which you'll do yourself at first. - Build the foundations hands-on. Early on, you are the team: setting the architecture, shipping the components, writing the guidance, and establishing the quality bar through your own work before there's anyone to delegate to. - Build and lead the team that owns the system. As the function grows, hire and develop it — set priorities and ownership, give direct feedback, hold a high bar, and help people do the best work of their careers. - Elevate Render's visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility — and the states beyond the happy path, which is where developer tools earn their reputation. - Make the system legible to AI, not just humans. Lead the work to make Render's design system AI-ready: machine-readable documentation, system rules and tokens exposed where agents can reach them (e.g. via MCP), and an architecture that shrinks the context an agent needs while keeping the brand and accessibility layers ours. The goal: agents building on Render produce on-brand, compliant work by default. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use — layered and headless where that scales better than rigid bundles. - Define and measure quality, including AI output. Build repeatable evaluations grounded in real tasks — testing generated output against the system's standard, not just whether people use the tools. - Earn adoption. Work alongside product teams, teach through examples, and turn recurring questions and exceptions into improvements. A system lives or dies on whether people, and their agents, reach for it. - Keep moving as the ground shifts. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT WE'RE LOOKING FOR - A track record of setting direction and delivering outcomes in design systems or design engineering — and the appetite to build a function from the ground up before leading a team. You create clarity in ambiguity, make decisions, give difficult feedback, and keep momentum without dropping the quality bar. Experience leading or developing designers/design engineers is a strong plus, as this role grows in that area. - Exceptional visual and interaction design skills. Your work shows a clear point of view, detail that borders on obsessive, and an ability to make complex experiences feel simple — the kind of craft other practitioners admire. - Deep systems thinking, and experience building systems other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped — not just that it existed. - Strong technical fluency. You can prototype and build in code, understand front-end architecture (component API design, tokens, theming, layered/headless patterns), and work through implementation tradeoffs with engineers — not just hand off specs. - Hands-on use of AI in your work, and a real point of view on AI-ready design systems. You understand where AI helps and where it fails, how to improve its output rather than accept it, and what it takes for a system to serve machines as well as humans. You don't need to have shipped all of it, but you should be able to say where you'd start and why. - Strong product judgment and developer empathy. You stay close to the people who use what you build and connect system decisions to real workflows and outcomes. Fluency with developers and technical products is a strong plus — our users are engineers, and the system has to serve them and the agents they build with. NICE-TO-HAVES - Experience building developer tools, cloud platforms, or infrastructure products where UX is a competitive advantage. - Hands-on experience making a design system AI-ready: machine-readable documentation, MCP or similar agent access, layered/headless architecture, or evaluation frameworks for AI-generated output. - Experience building developer or designer tools that became part of other teams' daily workflow. - Experience leading a major design-system migration or a company-wide change in how teams build. - Experience evolving a system across platforms, or connecting product and brand experiences. - Founder or early-stage startup experience. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads.   EXAMPLE INITIATIVES Recent and upcoming work in this area: - Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies - Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials - Agent credentials that grant an agent exactly the access it needs for the given task and nothing more - Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies - Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access   RESPONSIBILITIES - Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration. - Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves. - Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions. - Establish engineering practices for quality, security, observability, and operational ownership. - Provide technical leadership and mentorship as the team grows.   REQUIREMENTS - 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users. - Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter. - Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.   NICE TO HAVE - Experience with Python and Go. - Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept. - Working knowledge of OAuth, OIDC, and SCIM at the protocol level. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Paris 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 MISTRAL AI At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work, and Forge, our platform to build frontier models We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, Dubai and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careersmistral.ai/careers http://mistral.ai/careers.     Role summary The Southern Europe Enterprise Sales organization is entering a rapid scaling phase. To support this growth, we are seeking a Chief of Staff to the VP of Revenue Europe South drive organizational effectiveness, strategic planning, and execution of high-priority cross-functional initiatives across the region. This is a strategic role offering exceptional exposure and global impact. You will work closely with the VP of of Southern Europe Enterprise Sales to structure the team, lead strategic projects, organize internal reporting, and liaise with other teams. This phase offers a unique opportunity to build a global perspective on partnership priorities while owning critical initiatives.     What You Will Do STRATEGIC LEADERSHIP AND PLANNING - Design and implement the next-stage Southern Europe Enterprise Sales operating model to support rapid headcount growth and expansion across the region (France, Italy, Spain, Portugal, and emerging markets). - Own annual planning, OKR orchestration, and executive performance reviews to improve alignment and execution discipline. - Drive company-level programs involving Sales, Partnerships,, Product, Marketing, Finance, and Operations (new market entries, enterprise account launches, sales plays). - Lead strategic projects to leverage AI for enhancing go-to-market effectiveness. OPERATIONAL EXCELLENCE - Drive preparation and follow-up of executive reviews, business performance tracking, and strategic decision-making processes. - Structure complex problems, define execution plans, and ensure delivery against business priorities. - Improve the GTM operating model, processes, and organizational effectiveness to support scaling. - Build scalable frameworks to support GTM growth and operational efficiency. CROSS-FUNCTIONAL COLLABORATION - Lead cross-functional strategic initiatives across the Partnership organization (Managed Service Providers, System Integrators, ISVs, …). - Facilitate alignment between Sales leadership and key internal stakeholders (Partnerships, Product, Finance, Marketing, etc.). - Serve as a point of escalation to resolve conflicts and drive decision velocity. - Collaborate with global teams to ensure consistency in execution across regions. PERFORMANCE AND IMPACT - Track and report on executive cadence effectiveness (QBRs, planning cycles, leadership rituals). - Monitor strategic initiative progress and execution quality. - Measure stakeholder satisfaction within the GTM leadership team. - Improve decision velocity and clarity across the organization.     ABOUT YOU - Education: Bachelor’s degree in Business, Marketing, Information Technology, or a related field. An MBA or advanced degree is preferred. - Experience: Minimum of 5 years in strategic operations, business development, GTM strategy, or consulting roles (e.g., Strategy Consultant at MBB/Tier-1/Tier-2, Business Operations, Chief of Staff, or Strategic Program Manager). - Executive Stakeholder Management: Experience working closely with C-level or senior leadership, high maturity in communication, influence and prioritization. Ability to operate with high autonomy and judgement - Scale and ambiguity mindset: Experience in fast-growing environments or high-pressure environments. Comfortable navigating ambiguity and evolving priorities - Industry Background: Experience in high-growth SaaS, AI, deeptech, or infrastructure industries. Exposure to AI, data, infrastructure, or developer-focused products is a strong plus. 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: United States 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. About Tavily We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed. We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. The role Tavily is seeking a motivated Enterprise Account Executive to help expand our presence with large enterprises and strategic customers. In this role, you will own the full sales cycle, working with organizations that are building and scaling AI-powered applications, developer platforms, and data infrastructure. You will partner with engineering leaders, AI teams, product organizations, and executive stakeholders to help them leverage Tavily’s AI-powered search and data capabilities. This role is ideal for someone who thrives in a fast-paced startup environment, enjoys building pipeline, and can navigate complex enterprise sales cycles from initial engagement through successful close. As an early member of the go-to-market team, you will play an important role in shaping our enterprise sales motion, expanding strategic customer relationships, and helping scale our business. We are looking for a genuine hunter mentality — you build your own pipeline and don’t wait for inbound. Your responsibilities will include: Own the full sales cycle from prospecting through close for enterprise accounts Identify and develop new enterprise opportunities through outbound outreach, partnerships, and inbound demand generation Build strong relationships with technical and executive stakeholders, including engineering leaders, product teams, AI teams, and C-suite decision-makers Lead complex sales cycles involving multiple stakeholders, technical validation, security reviews, procurement processes, and contract negotiations Partner closely with Sales Engineering and Product teams to support technical evaluations, proof-of-concepts, and customer onboarding Develop strategic account plans for target enterprises and expand Tavily’s footprint within key customer accounts Maintain accurate pipeline management, opportunity tracking, and revenue forecasting within CRM Share customer feedback and market insights to help inform product development and go-to-market strategy Contribute to building repeatable enterprise sales processes and best practices as the company scales We expect you to have: 7+ years of B2B SaaS, infrastructure software, or technology sales experience, with a focus on enterprise customers Proven ability to consistently meet or exceed quota and close complex enterprise deals Experience managing multi-stakeholder sales cycles involving both technical and business decision-makers Strong prospecting, pipeline generation, and account development skills Ability to clearly communicate the value of highly technical products to both technical and non-technical audiences Strong organizational, communication, negotiation, and executive presentation skills Self-starter mindset with the ability to operate effectively in a fast-paced, high-growth startup environment It will be an added bonus if you have: Experience selling AI platforms, developer tools, APIs, data infrastructure, or cloud technologies Experience selling to engineering organizations, AI teams, developers, or data platform leaders Familiarity with enterprise sales methodologies such as MEDDICC, MEDDPICC, or Command of the Message Experience working in early-stage or high-growth startup environments Technical fluency that enables effective engagement with developers, architects, and technical decision-makers Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. On Target Earnings Range $300,000 — $350,000 USD 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: Remote - Europe 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 run a large-scale GPU cloud and AI infrastructure platform. Fraud and abuse — stolen payment cards, fake sign-ups, compute mining, credential abuse, and coordinated free-tier exploitation — directly threaten platform economics, capacity availability for legitimate customers, and our standing with payment providers and cloud partners. As Product Manager, Anti-Fraud, you own the product roadmap for the systems that detect, prevent, and respond to fraud and abuse across the customer lifecycle — from onboarding and payment through to ongoing consumption. You sit at the intersection of Trust & Safety, Payments/Billing, Risk, Data Science, and Product Engineering, and you balance two goals in constant tension: stop bad actors and keep friction near zero for real customers. Your responsibilities will include: Own the end-to-end anti-fraud product roadmap: signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse (e.g., crypto mining, resource reselling) prevention. Own the rules and risk-scoring surfaces — the tooling that lets analysts and data scientists define, test, and deploy detection rules and ML models with clear guardrails and audit trails. Own the manual review and case-management experience for the Trust & Safety operations team, including queues, evidence views, and action workflows (block, limit, step-up verification, release). Own customer-facing friction points — verification flows, step-up challenges, and appeals — designed to minimize false positives and protect the legitimate user experience. Identify fraud and abuse incidents early — define the signals, alerts, and thresholds that surface incidents before they scale, and own the detection surface that flags them. Participate in incident reviews and post-mortems, capturing root causes and turning each finding into concrete improvements to detection rules, models, and the roadmap. Ensure timely response to active incidents — drive fast triage, clear ownership, and mitigation, working alongside Trust & Safety, Engineering, and Data Science to contain impact. Write clear PRDs and specs that translate fuzzy risk problems into shippable engineering and data-science work. Partner with Analytics team on detection models — defining the problem, labels, and success criteria, and deciding where rules vs. ML are the right tool. Run experiments and monitor rollouts, watching both fraud-catch metrics and false-positive / customer-friction impact. Work with Legal/Compliance to keep detection and enforcement aligned with payment-network rules, KYC/AML expectations, and data-privacy requirements. Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection. We expect you to have: Proven product management experience in fraud, risk, trust & safety, or payments. Strong analytical skills — comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics. Ability to make decisions under ambiguity and to balance security, business, and customer-experience priorities. Solid collaboration with engineering and data science; you can hold a technical conversation about signals, features, and model behavior. Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products. Understanding payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation). It would be an added bonus if you have: Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring). Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming). 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: 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.