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Location: Paris; San Francisco 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. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.     KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.     TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.     KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.     DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. 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: Singapore 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 give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. 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: Hyderabad, India 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 give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. 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: Paris; 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 Studio has been developed to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. It provides the infrastructure enterprises need to scale their use cases, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. We are seeking a strong product leader to own the strategy and shape the future of Studio redefining the AI builder experience in enterprises. You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. What You Will do - Strategy & Vision - Define and evangelize the product vision, strategy and annual goals for Studio. You will be accountable for its business impact. - Team leadership - Build the Studio PM organization: hire PMs and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews…), and develop PMs through clear growth paths. - Delivery & Execution - Partner with engineering leadership on the roadmap to scope, sequence, and deliver value by balancing quick wins for our customers while advancing the long-term platform bets. - Drive strategic customer discovery with the PMs under your responsibility. - Go-to-market - Collaborate with Marketing and Go-to-market teams on positioning, pricing and packaging, launch plans, and adoption strategies. - Partner cross-functionally and with other product leaders to ensure we have a unified customer journey. What We're Looking For - 10+ years in product management, with deep experience building technical platform, infrastructure or developer products for enterprise customers and AI/ML fluency - Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences - Experience launching and scaling products - Proven ability to align and inspire cross-functional teams without direct authority. - Ownership and pragmatism: low ego, high EQ, bias for action; equally comfortable crafting a strategy narrative and diving into metrics, UX details, or a customer escalation - Strong communication skills for executives, teams, and users. - Ability to thrive in dynamic environments where priorities shift. - Self-directed, taking initiative to navigate unknowns and own outcomes. 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: SF or Remote (US/Canada) 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 We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. 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: SF or Remote (US/Canada) 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 We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. 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: Kansas City, 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 As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Kansas City, Missouri data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills 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 $30 — $42 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: Ukraine Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.   We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.    In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for a Mobile Developer to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go. You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform. This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development. Responsibilities: Design and implement mobile features end to end across Flutter and native Android/iOS layers. Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios. Own the technical design and quality of delivered features, including data flow, edge cases, and testing. Develop integrations between cross-platform and native functionality using platform channels. Investigate and resolve production issues, including platform-specific, performance, and synchronization problems. Review code and contribute to engineering guidelines, reusable components, and internal tooling. Participate in technical research, prototyping, and validation of new capabilities. Mentor middle and junior engineers through reviews, pairing, and knowledge sharing. Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions. Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components. Contribute to AI-assisted and agentic engineering practices within the team. Requirements: Must have 4+ years of professional software development experience, including 3+ years in mobile development. Strong hands-on experience with Flutter and Dart. Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality. Hands-on experience with JavaScript and TypeScript. Good understanding of state management and unidirectional data flow, such as BLoC. Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design. Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios. Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift. Strong testing practices, including unit and widget testing. Experience with Git, CI/CD, automated testing, and static analysis. Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area. English level: Upper-Intermediate (B2) or higher. Nice to have Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions. Experience with SDK development, packaging, linting, and unit testing. Experience with metadata- or schema-driven UI. Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications. Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization. Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Poland Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.   We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.    In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for a Mobile Developer to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go. You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform. This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development. Responsibilities: Design and implement mobile features end to end across Flutter and native Android/iOS layers. Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios. Own the technical design and quality of delivered features, including data flow, edge cases, and testing. Develop integrations between cross-platform and native functionality using platform channels. Investigate and resolve production issues, including platform-specific, performance, and synchronization problems. Review code and contribute to engineering guidelines, reusable components, and internal tooling. Participate in technical research, prototyping, and validation of new capabilities. Mentor middle and junior engineers through reviews, pairing, and knowledge sharing. Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions. Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components. Contribute to AI-assisted and agentic engineering practices within the team. Requirements: Must have 4+ years of professional software development experience, including 3+ years in mobile development. Strong hands-on experience with Flutter and Dart. Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality. Hands-on experience with JavaScript and TypeScript. Good understanding of state management and unidirectional data flow, such as BLoC. Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design. Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios. Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift. Strong testing practices, including unit and widget testing. Experience with Git, CI/CD, automated testing, and static analysis. Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area. English level: Upper-Intermediate (B2) or higher. Nice to have Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions. Experience with SDK development, packaging, linting, and unit testing. Experience with metadata- or schema-driven UI. Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications. Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization. Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

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. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. 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 $117,000 — $180,000 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: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Leads employee compensation programs to ensure pay practices are competitive, equitable , and aligned with organizationa l objectives . Owns salary structure, job classification standards, financial modeling, and end-to-end administration of merit and bonus cycles. Develops compensation policy and partners with senior HR and Finance leadership on compensation decisions. Sets reporting standards, designs training, and leads process improvement across the function. Leads participation in external compensation surveys, resolves job matching discrepancies, and recommends competitive positioning strategy across pay levels. Owns the company's salary structure, determining changes to pay grades and range spread/midpoints and presenting them for approval. Reviews and approves job classifications, resolves escalated classification decisions, and establishes classification standards for the team. Oversees the integrity of job and pay records within the HRIS and establishes audit protocols to prevent errors, duplicates, and classification inconsistencies. Analyzes compensation data across the organization to identify systemic pay equity or compression issues and recommends corrective action plans. Reviews and resolves escalated compensation requests and establishes guidelines for how requests are evaluated. Owns the financial models used to project the cost of merit, market, and promotional guidelines, and presents recommendations directly to senior HR and Finance leadership. Leads the merit and bonus planning cycle end-to-end, designs manager guidelines and audit protocols, and resolves discrepancies between planned and actual compensation expenditure with Finance. Defines the compensation reporting standards used across the function and presents analyses directly to senior leadership. Develops and owns compensation policies, procedures, and program guidelines, and determines the policy response to new federal and state compensation regulations. Designs the training curriculum on compensation cycles and pay administration and delivers sessions to senior HR and business stakeholders. Leads process improvement initiatives across compensation workflows, standardizing and automating job pricing, merit cycle, and reporting processes. Requirements: Bachelor's degree in Human Resources , Business Administration, Finance, Economics, or a related field; or an equivalent combination of education and experience. Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing, including experience presenting to senior leadership. Experience with human capital management system, compensation management system, spreadsheet software with advanced functions (e.g., nested lookup functions and pivot tables), market pricing data aggregation software, and business intelligence or reporting tools. Certified Compensation Professional (CCP) designation preferred. 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: Paris; London 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. The Role As a Product Manager on the Context team, you will define and build the foundation for how AI agents access, interact with, and leverage context, data, tools, platforms, and environments, to deliver powerful, scalable solutions. This role exists to bridge the gap between cutting-edge AI capabilities and real-world usability, ensuring our agents are both capable and seamlessly integrated into Mistral’s broader product ecosystem. You’ll work at the intersection of engineering, research, design, and business, aligning stakeholders around a shared vision while driving execution from concept to launch. The impact of your work will shape how users and enterprises interact with AI, unlocking new possibilities for automation, intelligence, and efficiency. What You Will Do - Define and evangelize a clear product strategy for our Context & Search platform, aligning it with company goals and market opportunities. - Lead market and UX research to identify unmet needs, competitive gaps, and emerging trends in enterprise AI. - Own the end-to-end product lifecycle, from ideation to launch, balancing speed, quality, and user-centric design. - Collaborate with design and research teams to create intuitive, high-impact user experiences, iteratively refined by data and feedback. - Drive go-to-market efforts, including pricing, positioning, and adoption strategies, in partnership with marketing and sales. - Align engineering, design, and business teams around priorities, trade-offs, and timelines to ensure seamless execution. - Maintain a dynamic roadmap that delivers quick wins while advancing long-term strategic bets. What We're Looking For - 5+ years of hands-on Product Management experience, preferably with a focus on Agentic AI, Context Engineering, Data platforms, MCP/Connectors, Search, Ontology and semantic layers in B2B/Enterprise environments. - Strong technical fluency to navigate trade-offs and collaborate effectively with engineering teams. - A relentless focus on solving real user problems, backed by data and qualitative insights. - Proven ability to align and inspire cross-functional teams—engineering, design, and go-to-market—without direct authority. - Exceptional communication skills, with the ability to craft compelling narratives for executives, teams, and users. - Adaptability to thrive in dynamic environments where priorities shift rapidly. - Low ego, high EQ, and a collaborative mindset to build trust and drive decisions through clarity. - A builder’s mindset, with experience turning 0→1 ideas into products users love, and the autonomy to own outcomes end-to-end. 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: 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 Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. 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: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building and deploying large-scale AI infrastructure across multiple data centers. Our Hardware Deployment Engineering team is responsible for the technical bring-up, validation, troubleshooting and handover of new GPU, compute and storage infrastructure. We are looking for a Hardware Deployment Engineering Team Lead to manage and develop the Deployment Engineering team across EMEA. This is a hands-on technical leadership role that combines people management, capacity planning, project coordination and infrastructure engineering. You will lead engineers working across new data center launches and expansion projects. You will also serve as the primary point of contact between Deployment Engineering, project management, Data Center Operations and other engineering teams & will report to the Head of Hardware Delivery and Deployment. This position is based at our headquarters in Amsterdam, the Netherlands. Remote work is not available for this role. Regular travel to data centers across EMEA will be required Your responsibilities will include: Lead the Deployment Engineering team Manage a team of Deployment Engineers across EMEA. Hold regular 1:1s, provide feedback, set expectations, and support engineers in their development. Assign responsibilities and make sure engineers have clear ownership during deployments. Identify skill gaps and build technical depth within the team. Support hiring, onboarding, and performance management as the team grows. Remove blockers for engineers and escalate organizational or technical issues when necessary. Own deployment engineering planning Represent Deployment Engineering in project planning and synchronization meetings for new data center launches. Understand upcoming deployment milestones and translate them into engineering resource requirements. Plan engineer allocation across multiple parallel projects and deployment phases. Make sure the right technical expertise is available for hardware bring-up, testing, troubleshooting, and acceptance. Identify resource conflicts and delivery risks early rather than reacting to them during deployment. Maintain a clear view of team capacity, project priorities, travel requirements, and upcoming workload. Drive technical execution Ensure deployment testing and hardware bring-up are executed consistently and to the required quality level. Support engineers with complex hardware, firmware, Linux, and systems troubleshooting. Step into critical technical issues when deeper investigation or coordination is required. Drive problems toward a clearly identified failure domain, root cause, or actionable escalation. Coordinate with R&D, DC Operations, vendors, ODMs, and other engineering teams when issues cross organizational boundaries. Make sure deployment findings result in fixes, documentation, tooling, or process improvements rather than remaining one-off solutions. Improve how we deploy infrastructure Build repeatable deployment processes, standards, checklists, and troubleshooting practices. Improve the quality and predictability of hardware testing and acceptance. Identify recurring deployment problems and drive systemic fixes upstream into factory, hardware, firmware, tooling, or operational processes. Improve handover from Deployment Engineering to steady-state operations. Help develop automation and tooling that reduce manual work and increase deployment scale. We expect you to have: Strong experience with server hardware, data center infrastructure, or large-scale systems deployment. Experience leading engineers, either as a formal people manager or as a strong technical/team lead with clear ownership for other engineers. Ability to plan resources and coordinate engineering work across several projects running in parallel. Strong ownership mindset and the ability to operate in environments where procedures are incomplete and problems are not yet well understood. Ability to challenge assumptions, investigate beyond the immediate symptom, and drive issues to resolution. Strong communication skills and the ability to work effectively with project managers, engineering teams, operations, and external vendors. Comfortable working directly in data centers and traveling across EMEA when required. It will be an added bonus if you have: Linux troubleshooting skills and a solid understanding of modern server architecture. Experience diagnosing hardware and infrastructure problems across components such as CPU, memory, NVMe, PCIe, NICs, BMC, BIOS, and firmware. Experience deploying GPU or AI infrastructure at scale. Experience with large server fleets or hyper-scale environments. Experience working with ODMs or server vendors during production, deployment, or failure investigation. Experience with automated hardware validation or fleet-level testing. Experience building a deployment, infrastructure, SRE, hardware reliability, or similar engineering team. What success looks like You will not be measured by how many individual servers you personally troubleshoot or deploy. Success means that Deployment Engineering operates as a reliable function: projects know when and how to engage the team, engineers are assigned to the right work, technical problems are driven to resolution, deployment risks are visible early, engineers are developing, and new infrastructure can move from delivery to operational readiness predictably. You will be the person the Head of Hardware Delivery and Deployment can rely on to run the EMEA Deployment Engineering function day to day, while also continuously improving how the team operates and scales. 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: 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. The Role We are seeking a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department. Key Responsibilities: Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more. Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies. Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal. Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components. Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure. Analyze trends and provide recommendations for optimizing asset performance and reducing costs. Establish and enforce policies regarding asset management practices, including security, compliance, and risk management. Ensure adherence to industry standards and regulations concerning IT asset management. Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation. Communicate asset status and potential issues to senior management and relevant teams effectively. Identify opportunities for process improvements in asset tracking, reporting, and life cycle management. Requirements: Bachelor’s degree in Information Technology, Business Administration, or a related field. Proven experience in asset management, particularly within IT equipment assets. Strong understanding of IT infrastructure components and asset management tools. Excellent analytical, organizational, and problem-solving skills. Strong communication and interpersonal skills. Strong written and spoken fluency in English Excel at the advanced level (pivot tables, formulas, lists, graphs). Experience with budgeting and financial forecasting related to IT assets. Readiness for business trips. It will be an added bonus if you have: Relevant certifications like IAITAM CHAMP or equivalent. 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: 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 THE ROLE Mistral partners with the leaders of their industries to redefine how their most complex, high-stakes challenges are solved with frontier AI. As a Solutions Operations Manager for our strategic accounts, you act as the Technical Program Manager to the account leadership: you sit at the heart of the transformation, working with the client's leadership and with Mistral's best deployment strategists, forward-deployed engineers and applied scientists. You own technical program management end-to-end, planning, governance, execution, while also running the day-to-day operations of the accounts. This is a hands-on role for someone with a solid technical background who has led complex programs and is equally comfortable on running operations. You embed in an account, own the outcome, and bring AI into the day-to-day. WHAT YOU'LL DO As the operational backbone of the account, you act as the right hand to the Program Lead, ensuring Mistral sets the standard for execution, speed, and collaboration with the client. Your role blends technical program management, hands-on delivery governance, and day-to-day operations. GOVERNANCE & STRATEGIC ALIGNMENT - Ensure the Program Lead’s vision is clearly articulated and adopted by both Mistral’s account team and the client - Drive alignment between client stakeholders and Mistral teams to ensure shared priorities and high-quality delivery standards - Facilitate data-driven decision-making for leadership through weekly cadences, steering committee prep, and risk dashboards. STRATEGIC SCOPING & VALUE DEFINITION - Develop a deep understanding of the client’s business, operating model, and strategic priorities - Partner with the Program Lead and Account team to scope transformative programs, identify and define use cases, and build a clear business case and value framework - Translate strategic ambition into measurable outcomes and track the long-term business impact of each program DELIVERY & EXECUTION - Own delivery frameworks: timelines, milestones, reporting, proactively securing commitments and flagging risks or delays early. - Optimize delivery processes by identifying friction points and standardizing workflows to enhance quality and predictability. - Run the account's logistics for Mistral team going on site (access, security, meetings) OPERATIONAL INNOVATION & AUTOMATION - Build and enhance Mistral’s platform and internal tools to empower program delivery with scalable, tailored solutions - Automate workflows to eliminate manual friction in planning, reporting, and follow-ups, accelerating execution and reducing operational overhead WHO YOU ARE - Technical foundation. You have an engineering or equivalent technical background and 3–5 years of experience as a Technical Program Manager (or similar) delivering complex, multi-stakeholder technical programs at a tech company, scale-up, or enterprise. - AI-fluent. You genuinely use AI tools to automate your own work: drafting, analysis, reporting, PMO tasks. You're comfortable building and iterating on automations. - High agency. You don't wait to be told what to do. You see the gap, you close it, and you raise the standard as you go. - Customer-centric. You can hold a room with senior enterprise stakeholders and translate between business strategy and technical delivery. - Meticulous and reliable. Ownership to the last detail; nothing falls through the cracks on your watch. - Adaptable. Comfortable operating in ambiguity and a fast-moving environment; bias to action over process for its own sake. NICE TO HAVE - Experience in enterprise software, AI, or deep-tech delivery environments. - Exposure to change management / adoption at scale within large organizations. - Hands-on experience automating workflows with LLMs or building internal tooling. PRACTICAL DETAILS - Location: Paris, with travel expected ~30% of your time to customer sites (Europe) - Team: Solutions Org, reporting into the Solutions leadership. - Scope: One or several strategic accounts. 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: New York, 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. You will own our enterprise product: the roadmap for what large customers need, and the control plane that makes it possible. These are the capabilities that decide whether a large customer can adopt us, trust us, and expand with us. Our product is an API, and our enterprise buyer is an engineering organization. The people you build for are platform teams, architects, and the developers inside those companies who are putting agents into production. You need to be comfortable making product decisions about API surfaces, developer workflows, and technical tradeoffs, not only about business requirements. To build this well, you have to be in the room. You will work alongside customer success, sales, and our forward-deployed engineers, who are in these accounts every week and already know where we fall short, and you will spend real time with customers alongside them. Delivery and implementation stay with forward-deployed engineering and go-to-market. Your job is to turn what you learn into product. The hard part is judgment. Knowing which request is one account's edge case, and which one is the thing every enterprise customer will ask for six months from now. Getting that right is the difference between a platform and a pile of custom work. In your first year, we expect you to own a clear enterprise roadmap, ship the controls that block deals today, and become the person the go-to-market team comes to before a deal gets stuck. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. The product team is small, so you will work directly with the engineers building your roadmap and with the go-to-market teams selling it. Your responsibilities will include Own the enterprise roadmap: what we build for large customers, in what order, and why. Own the platform behind it: organizations and identity, keys and quotas, spend controls, usage observability and audit, policy enforcement, and data residency. Make product decisions on our API surface for enterprise use, so that the developers inside those accounts can build on us without friction. Work with customer success, sales, and forward-deployed engineering to understand what enterprise customers need, and spend time in accounts alongside them to see it first hand. Tell the difference between a single-account request and a pattern worth building for, and be able to defend the call either way. Hand off what belongs to another product area, with the evidence that makes it actionable. Give sales and marketing the positioning, materials, and product understanding they need to sell a technical product well. Represent enterprise customers in roadmap decisions with evidence rather than anecdote. We expect you to have 6+ years of product management experience, with a meaningful part of it spent on enterprise products in B2B, developer platform, or API businesses. Experience building developer-facing or API products, with real understanding of what makes an API good to build against. Experience building platform capabilities that enterprises depend on, such as identity, permissions, quotas, usage controls, audit, or compliance. A track record of working with large enterprise accounts, including recognized logos, and turning what you learned into shipped product. Credibility with technical buyers: platform teams, architects, security, and procurement. Strong understanding of LLMs, AI agents, and how search and retrieval fit into agentic workflows. Hands-on technical background is a strong plus. The ability to turn many messy customer conversations into one clear, prioritized product argument. Proven ability to drive alignment without formal authority, including with product owners who do not report to you. It will be a bonus if you have Background as a forward-deployed engineer, solutions engineer, or solutions architect before moving into product. Experience in search, information retrieval, or NLP. Experience in API-first businesses running both self-serve and enterprise motions. Experience building for regulated industries such as financial services, insurance, or healthcare. 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 $179,500 — $224,300 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 We’re looking for a Talent Operations Manager to own the systems, data, and operating rhythm behind how Render hires. You’ll architect our ATS, build the reporting that Talent and hiring teams rely on, and lead process changes that help us scale without losing quality. You’ll work closely with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners. You’ll make sure our hiring data can answer the questions teams need to make better decisions. This is a high-leverage role for someone who likes turning messy, fast-moving work into clear operating systems. You’ll help us reduce process drift, improve the candidate experience, keep hiring data trustworthy, and give the team better visibility into what is working, what is blocked, and where we need to adjust. We value people who are practical, systems-minded, and steady when the work gets complex. The right person can zoom out to design how the system should work, then zoom in to improve the field, report, access role, or automation that is slowing the team down. WHAT YOU’LL DO - Architect how our ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations - Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and visibility into hiring plan progress - Keep hiring data accurate and reconciled across the ATS, the hiring plan, and downstream systems so decisions get made on numbers people trust - Partner with People on job architecture, leveling, and offer consistency, and keep the ATS and People systems aligned as roles and plans change - Partner with Finance on hiring plan reconciliation and the reporting leadership uses to see where the plan stands - Turn recurring Talent Operations requests into better systems: identify patterns, improve workflows, automate repeatable work, and make the right processes self-serve - Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations - Own how our systems connect, including scoping, testing, and maintaining API-based reporting, integrations, and automations that reduce manual work for recruiters and coordinators - Lead process rollouts with clear documentation, training, adoption checks, and follow-through so changes stick WHAT WE’RE LOOKING FOR - 5+ years in recruiting, recruiting operations, talent operations, people systems, or a similar systems and data role in a high-growth environment - Deep ATS expertise, with Ashby strongly preferred. You can design how the system should work, not just maintain it, across custom fields, access roles, interview plans, automations, integrations, and reporting foundations - Strong analytical skills. You can take a vague question, decide what data would answer it, and build the report yourself - Proficient in Google Sheets or Excel. You can pull data together from multiple sources and turn the result into a case a cross-functional partner can follow - Experience owning data integrity across an ATS and the systems around it, including reconciling against a hiring plan or another source of truth - Strong program and change management skills. You can roll out a new process, teach it, measure adoption, and keep the team aligned - Clear written communication, strong documentation habits, high attention to detail, and good judgment in a fast-moving environment NICE-TO-HAVES - Experience building or scaling a recruiting operations function at a post-Series B/C company - Experience supporting technical recruiting teams or high-volume engineering hiring - Hands-on experience with the Ashby API or ATS-based reporting - Exposure to headcount planning or headcount management systems - AI fluency, with good judgment about where AI helps, where it adds risk, and what checks are needed before others rely on the output 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