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Location: Remote - 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 We’re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability. You are welcome to work remotely from the US. Your responsibilities will include: Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across advanced model optimization, inference performance, model delivery, reliability, and enterprise features. Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on. Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise. Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets. We expect you to have: Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams. Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them. Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes. B2B/enterprise experience with technical buyers. Comfort with ambiguity and shifting scope It will be an added bonus if you have: Post-training experience, including training draft models. Experience with third-party technical partnerships. 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 $228,000 — $285,000 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: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next.   ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You will thrive in this role if you: - See research and engineering as two sides of the same coin and enjoy owning work end-to-end. - Are results-oriented, flexible, and willing to pick up whatever moves the needle. - Like collaborating closely with infra, data, and product to ship measurable improvements. - Enjoy designing experiments, listening tests, and metrics that correlate with user-perceived quality. - Eager to learn every-day, find and solve unique large-scale problems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.   WHAT YOU’LL BRING: - Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data). - Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation. - Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders latent/tokenizer design, reconstruction and perceptual objectives, adversarial training. - Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent). - Strong software engineering skills with a proven track record of building complex systems. - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code. - Shipped large-scale speech/audio or multimodal generative models to production. - Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals. - Experience with voice cloning, speech control/steerability, or expressive speech generation. - Notable publications and/or open-source contributions in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Palo Alto 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 This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. 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 - APAC; 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 are looking for an experienced Supply Chain Manager with strong expertise & hands-on experience in server and GPU infrastructure procurement to support our global data center operations in the APAC region. You will operate at a high execution speed and be expected to quickly integrate into ongoing projects. Your responsibilities will include: Managing end-to-end procurement of server and GPU infrastructure for new data center builds Negotiating directly with OEM/ODM vendors Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline. Managing cost optimization, supply constraints, and vendor escalations Coordinating closely with engineering, logistics, finance, and operations team Maintenance Procurement: supporting global data centers after go-live, ensuring zero-disruption operations through proactive stock planning, coordinating urgent procurement We expect you to have: At least 5+ years of experience in server / data center hardware procurement Direct experience working with ODM/OEM manufacturers Strong negotiation skills with a history of securing supply commitments and favorable commercial terms in constrained markets Experience operating in fast-paced, high-pressure environments Ability to quickly understand technical infrastructure requirements Working proficiency in English It will be an added bonus if you have: Hands-on experience with GPU procurement Experience in hyper-scale / AI infrastructure environments Experience in global procurement operations Familiarity with NetSuite or ERP systems 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: Palo Alto; New York 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   Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.   WHAT YOU WILL DO   • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams.   WHAT WE'RE LOOKING FOR     • You have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You’re an expert with PyTorch or JAX. • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don’t need roadmaps: you just do. You don’t need a manager: you just ship. • Low-ego, collaborative and eager to learn. • You have a track record of success through personal projects, professional projects or in academia.   NICE TO HAVE     • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning, Computer Science & Engineering), but if you’re an exceptional candidate from a different background, you should apply. • Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series). • Have contributed to a large codebase used by many (open source or in the industry). • Have a track record of publications in top academic journals or conferences. • Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.     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: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Are you an engineer who loves diving deep into ML models, building standalone CLI tools, and exploring how far AI agents can go in autonomous coding? Do you want to rethink how software is built and use the tools you create every single day? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI. We're combining the latest advancements in AI and LLMs with our decades of software development expertise. We are working in three main areas: growing Junie CLI into a general-purpose agent independent of any IDE, optimizing model ensembling and setups for the best cost-to-intelligence ratio without compromising code quality, and pushing next-level autonomy so Junie can own, maintain, and evolve entire subsystems over multi-day horizons. You’ll have end-to-end ownership over these initiatives, taking work from early research to production code while shaping the future of autonomous development. Day to day, you will: Develop and ship new features for Junie across CLI and model integrations. Experiment with model setups, ensembling, and cost efficiency strategies. Build and test autonomous agent behaviors for long-term project maintenance. Own the full development cycle from initial research to production-ready code. Use Junie daily to continuously iterate on its quality and user experience. What you’ll bring Comfort taking full ownership of decisions and implementation. The curiosity to challenge assumptions and experiment with new ideas. The ability to learn new concepts quickly and adapt quickly. A mindset focused on long-term impact rather than short-term workarounds. Strong interest in autonomous AI systems and software engineering tools. What you’ll need A proven track record of developing and shipping machine learning or full-stack software products. Hands-on experience working with LLMs, prompt engineering, or agentic workflows. The ability to write high-quality production code across the full development lifecycle. Practical experience building or fine-tuning ML models. What success looks like In this role, success means taking bold experiments in agent autonomy and cost efficiency and turning them into reliable, production-ready capabilities. You'll know you're succeeding when Junie can tackle complex multi-day engineering tasks autonomously and the tool you build every day actively improves your own engineering workflow. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About 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 driven and industry-savvy Healthcare Solutions Partner to join our growing Healthcare & Life Sciences (HCLS) team. As a strategic connector between the Global Head of HCLS and regional Account Executives (AEs) , you will play a pivotal role in accelerating go-to-market execution, deepening client engagement, and ensuring our cloud and AI solutions align with the business, scientific, and regulatory needs of the healthcare ecosystem. Based in the US, you will manage strategic client relationships , identify and develop new business opportunities , and collaborate with partners — with a strong focus on the Digital Health, Medical Devices, and Medical Imaging segments. Your ability to understand complex scientific and business challenges, craft tailored solutions, and thrive in a fast-moving, innovation-led environment will define your success. This role combines consultative selling, industry expertise, and commercial execution , helping customers unlock the full potential of the Nebius platform. Your responsibilities will include: Demonstrate a deep understanding of Nebius and the value to our customers Own and grow your territory: Maintain and deliver against a strategic plan for region/territory. Help AE’s qualify and prioritise opportunities through an HCLS and compliance lens . Lead and support strategic discussions with Digital Health, Medical Device and Imaging companies. Client Engagement: Develop deep relationships with key stakeholders across the enterprise, positioning our AI and cloud solutions to address client-specific challenges. Act as a trusted advisor to clients, driving engagement and long-term relationships. Identify opportunities to apply AI/ML, HPC, and data platforms . Deal Support & Sales Acceleration Partner with Account Executives to shape account strategy, value messaging, and proposal content that will secure deals to meet revenue targets Help qualify and prioritise opportunities through an HC&LS and compliance lens . Support complex deal cycles where domain credibility and regulatory insight are critical. Solution Selling: Demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations, and presentations. Regional Representation: Represent Nebius at regional and industry events, and customer meetings. Market Knowledge: Stay updated on industry trends, emerging technologies, and competitive landscape to position our solutions effectively. Forecast with accuracy ; progress deals through the Salesforce sales process and deliver against ACV / activity targets. We expect you to have: Passion and desire to work in a startup culture, directly impacting the growth of the company Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies. Strong commercial acumen: value mapping, negotiation, multi‑year deals, and exec-level‑ storytelling. High energy, enthusiasm, and evidence of consistent growth vs. quota. CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar. Ability to travel as needed. It will be an added bonus and strong preference if you have: 5–10 years in hospital, medical device, manufacturing, healthcare, pharma, biotech, or life sciences, ideally in healthcare, business, consulting, GTM, product, or pre-sales roles. Deep understanding of European and UK healthcare systems, startups and their business processes, scientific data workflows, and regulatory frameworks. Proven ability to communicate complex scientific and technical concepts to non-technical stakeholders. Previous experience in a high-growth, start-up environment ideally selling cloud, AI/ML or HPC solutions. Exposure to SaaS models or cloud infrastructure sales. Experience selling to mid-market or enterprise-level clients Compensation We offer competitive salaries, ranging from $193k-$246K OTE based on your experience. 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 $137,600 — $172,000 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; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for a Software Engineer to build software that makes network operations safe, scalable, and boring — even as we launch new data centers and expand fast. This is not a “write scripts for configs” role: you’ll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn’t. Your responsibilities will include: Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations Close “last mile” gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling We expect you to have: 5+ years of professional software engineering experience (or equivalent practical background) Strong coding skills and ownership mindset: you can ship and operate reliable services Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes) You don’t have to be Network expert but we expect you to have interest in infrastructure and/or network It will be an added bonus if you have: Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or “network-as-code” style workflows Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection) Contributions to open source or experience extending/debugging OSS components in production environments We expect Engineers to: Manage large-scale projects involving multiple stakeholders Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Be involved in hiring and actively contribute to interviews Be willing to share knowledge and mentor others 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 We are looking for a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Nebius data centers. This role acts as the technical and operational interface between the customer/platform and Nebius infrastructure teams, ensuring reliable service delivery, SLA compliance, and smooth operations of large-scale GPU clusters and bare metal environments. You will coordinate across data center operations, network, hardware lifecycle, and infrastructure engineering teams to deliver world-class infrastructure services for large AI workloads. Your responsibilities will include: Customer Infrastructure Ownership Serve as the primary technical point of contact for the customer. Manage operational relationship with hyperscale customers. Coordinate infrastructure lifecycle including provisioning, maintenance, and incident management. Service Delivery & SLA Management Ensure SLA and SLO compliance for infrastructure services. Drive incident management and root cause analysis. Track service performance and operational metrics. Data Center & Infrastructure Coordination Work closely with data center operations teams to manage hardware support and infrastructure maintenance. Coordinate bare metal deployments, replacements, and capacity expansion. Align infrastructure operations with customer workload requirements. Operational Excellence Establish operational processes for hyperscale infrastructure environments. Lead service reviews and operational planning with internal and customer teams. Improve reliability, response times, and operational workflows. Cross-Functional Collaboration Partner with engineering, networking, and hardware lifecycle teams. Support infrastructure scaling and new cluster deployments. Participate in planning for large-scale AI compute infrastructure. We expect you to have: 5+ years in technical account management, service delivery, or infrastructure operations Experience working with hyperscale customers or large enterprise clients Background in cloud, AI infrastructure, or data center operations Understanding of bare metal infrastructure Experience with data center environments Familiarity with GPU clusters / AI workloads (preferred) Knowledge of networking, hardware lifecycle, and infrastructure monitoring Strong stakeholder management Ability to operate in high-scale infrastructure environments Excellent communication between technical and business teams It will be an added bonus of you have: Experience working with hyperscale companies Experience supporting AI / ML infrastructure Experience with GPU clusters 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; New York Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As a Senior Third-Party Risk Specialist, you will be responsible for identifying, assessing, and mitigating risks associated with third parties (vendors, partners, subcontractors, etc.) at Mistral. You will play a pivotal role in safeguarding our assets, data, and reputation by ensuring that our third-party relationships adhere to the highest standards of security, compliance, and resilience. You will work closely with Legal, Procurement, Security, and Operational teams to embed a proactive third-party risk management approach into our business processes. WHAT YOU WILL DO - Develop and manage the third-party risk management program: Design, implement, and maintain a structured framework for identifying, assessing, and monitoring risks associated with third parties (vendors, partners, service providers, etc.). - Conduct third-party assessments and audits: Perform due diligence, compliance assessments, security audits, and contractual reviews to ensure third parties meet our requirements and regulatory obligations (e.g., GDPR, NIS2, DORA). - Collaborate with internal teams: Work with Procurement, Legal, Security, and Operations teams to integrate third-party risk requirements into vendor selection, negotiation, and monitoring processes. - Manage incidents and non-compliance: Identify and address gaps or incidents related to third parties, coordinating corrective actions and ensuring follow-up until resolution. - Raise awareness and train stakeholders: Develop and deliver training and guidance to educate internal teams on third-party risk issues and their responsibilities. - Maintain robust documentation: Document assessments, decisions, and actions related to third-party risk management, ensuring traceability for internal and external audits. - Monitor regulatory and standards evolution: Stay updated on changes in regulations (e.g., NIS2, Cyber Resilience Act, GDPR) and standards (e.g., ISO 27001, SOC 2, ISO 27036) impacting third-party risk management, and propose adjustments to the internal framework. - Optimize tools and processes: Contribute to the continuous improvement of tools (e.g., third-party risk management platforms) and methodologies to enhance the program's effectiveness. - Align with broader resilience strategy: Ensure the third-party risk management program supports the company's overall cybersecurity and compliance objectives. - Contract redlining and negotiation skills: Ability to review, edit, and negotiate contractual terms to align with security and compliance requirements. ABOUT YOU - 7+ years in third-party risk management, cybersecurity compliance, information security governance, or a related field. - Experience supporting cybersecurity compliance programs, certification processes, or external audits. - Practical knowledge of standards and frameworks such as ISO 27001, SOC 2, NIST SP 800-53, or regulations like NIS2, DORA, GDPR. - Proficiency in risk assessment methodologies (e.g., EBIOS RM, ISO 27005). - Familiarity with cybersecurity regulations such as NIS2, the Cyber Resilience Act, LPM, or DORA. - Strong organizational skills and attention to detail, with the ability to manage documentation and coordinate multiple stakeholders. - Excellent written and verbal communication skills. - Strong analytical and problem-solving abilities. - Ability to work collaboratively across technical, legal, commercial, and operational teams. - Professional proficiency in English; French proficiency is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Israel; Netherlands; Remote - Europe; United Kingdom 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. 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: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Integrated Campaigns Manager, you’ll plan and run global, multi-channel campaigns that drive awareness, adoption, and pipeline for Vercel’s platform and developer tools. Your campaigns will pair developer-first storytelling with enterprise messaging and cover the full funnel, from first touch to closed revenue. You’ll work with Product Marketing, Growth, Digital, Field Marketing, Strategic Events, and Sales to turn separate channel efforts into one integrated motion. In your first 6 to 12 months, you’ll own one of our major integrated campaigns and help plan and execute Vercel’s next big plays for the year. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you'll do Own the strategy, planning, and execution of global integrated campaigns, from big idea through channel activation, measurement, and iteration Translate product and business priorities into campaign narratives and messaging for developers, full-stack teams, product leaders, and enterprise buyers Orchestrate paid, owned, and earned programs with Growth, Digital, and Performance Marketing so every touchpoint tells one story Partner with Product Marketing, Field Marketing, Strategic Events, and Sales to bring their work into each campaign as one cohesive, integrated plan Measure and report campaign performance across awareness, adoption, and pipeline, and constantly iterate based on campaign results What you need 4+ years of business-to-business (B2B) marketing experience, 2+ years leading integrated or demand generation campaigns at a developer tools, cloud infrastructure, or technical software as a service (SaaS) company Owned full-funnel campaigns, from first touch to closed revenue, with pipeline and revenue results you can cite Experience owning the reporting & presentation of campaign return on investment (ROI) to marketing leadership Bonus if you Have experience with briefing management platforms and CRM reporting (Salesforce) Have worked closely with developer or infrastructure products Have previously built an executive marketing programs Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $133,000 - $163,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KS1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. DRW has openings for Senior Software Engineers on its Treasury and Reference Data development teams. These teams build and operate systems the firm depends on for financing, liquidity, and the instrument data that underpins trading and post-trade workflows. The teams are small and collaborative — you’ll work directly with business partners and enjoy building meaningful products from day one. These openings sit on two related teams: Treasury — builds systems that support position financing, margin and collateral management, and cash and liquidity management across the firm. Reference Data — owns the data platform that stores and distributes instrument and related reference data used across research, trading, and post-trade workflows. We hire through a single interview pipeline and match candidates to the team and problems that fit best as we learn more about each person’s current skills and long-term development goals. Responsibilities: Designing, building, and testing systems used across the firm — services, data products, and the UIs that sit on them Collaborating with business partners to turn ambiguous business problems into clear technical plans and shipped software Owning software end-to-end after it ships — we run what we build (deploy, operate, on-call) Working across greenfield systems and existing codebases Building and improving tooling and processes around CI/CD, containers, and Kubernetes / internal cloud Mentoring and raising the bar for engineering practice Learning and championing useful new technologies where they fit Desirable Experience: We are looking for strong senior generalists. Experience in the following areas is helpful: Full-stack development in Java, Python (FastAPI), and/or Ruby (Rails) Strong relational data modeling fundamentals GitOps and Kubernetes Job orchestration systems (Airflow, Prefect, etc.) Though prior domain experience is not required, relevant background can help place a candidate on a particular team: Payments and/or treasury systems (Treasury) Vendor/exchange data processing and/or data taxonomy (Reference Data) The annual base salary range for this position is $200,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW has an opening for a Senior Software Engineer focused on digital assets. The team builds and operates systems that move and safeguard cryptoassets across the firm — including treasury automation, wallet inventory and reference data, integrations with custody platforms, and operational controls used by digital asset operations. You’ll work directly with those business partners and enjoy building meaningful products from day one. At DRW we strive for an environment where technologists are free to pursue solutions to the problems of the business free from arbitrary management constraints and supported by excellent technical resources. All development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly-coupled service architectures. We ship on Kubernetes with modern CI/CD. Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and value engineers who dig into the business to build the right thing. Responsibilities: - Designing, building, and testing full-stack applications (APIs through UI) used by digital asset operations and related business partners - Partnering with those teams to turn ambiguous business problems into clear technical plans and shipped software - Owning software end-to-end after it ships — we run what we build (deploy, operate, on-call); we don’t hand systems off to a separate ops team - Working across greenfield systems and existing codebases - Building and improving tooling and processes around CI/CD, containers, and Kubernetes / internal cloud - Collaborating with other software teams, trading desks, and business units - Mentoring and raising the bar for engineering practice on a small team - Learning and championing useful new technologies where they fit Desirable Experience: - We are looking for strong senior engineers with crypto or digital-asset systems experience. Deep Python expertise is a meaningful differentiator for this role. - Cryptoassets, digital-asset operations, or custody / wallet platforms (or closely adjacent high-stakes money-movement systems) - DeFi, smart contracts, staking, or other on-chain systems - Full-stack development with Python (FastAPI) - Strong relational data modeling fundamentals - GitOps and Kubernetes - Job orchestration systems (Airflow, Prefect, etc.) For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-MM1

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. 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: Spain About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. 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: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. 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 About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a IT Risk & Controls Manager to act as an embedded risk partner to our engineering and technology organizations. You will help scale and strengthen a modern IT SOX and controls framework across Nebius’s custom-built AI cloud platform, infrastructure, corporate technology environment and other systems supporting financial reporting. This role goes beyond traditional IT audit testing. You will work directly with engineering leaders, system owners, Finance, Internal Controls and external auditors to identify risk, design scalable controls, improve evidence quality, drive remediation and embed compliance into the way our technology organizations operate. The successful candidate will combine deep IT risk and controls expertise with meaningful in-house technology experience. You must be equally comfortable discussing technical control design with engineers, explaining risk implications to business leaders and aligning audit expectations with external assurance providers. Your responsibilities will include: Act as the risk and controls partner for an assigned technology organization or system portfolio, developing a detailed understanding of its architecture, operations, risks and financial-reporting dependencies. Own and continuously improve the relevant IT risk and control framework, including system scoping, risk assessment, RCM and control-catalogue maintenance, documentation and control ownership. Lead IT SOX readiness for assigned systems, including walkthrough preparation, evidence-quality review, testing coordination, issue evaluation and remediation oversight. Partner with engineering, platform, infrastructure, security and corporate IT teams to design and implement scalable controls that address risk while supporting operational efficiency. Design, assess and enhance ITGCs across areas such as user access, privileged access, segregation of duties, change management, SDLC, system operations, incident management and third-party services. Assess IT application controls, automated controls and IT-dependent business controls, including the completeness and accuracy of system-generated information used in business-process controls. Evaluate how business controls depend on systems, integrations, configurations, reports and underlying ITGCs, and work with both business and IT control owners to resolve gaps. Apply risk and controls thinking to modern engineering practices, including cloud infrastructure, DevOps, CI/CD, repositories, deployment processes, containerized environments and audit logging. Lead the assessment and remediation of control gaps arising from new systems, major technology transformations, platform changes, integrations and acquisitions. Review third-party assurance reports and determine the impact of vendor controls and complementary user-entity controls on the Nebius control environment. Maintain effective working relationships with external auditors and advisers, aligning on audit scope, evidence expectations, testing approaches, reliance opportunities, timelines and issue resolution. Translate complex technical risks and auditor requirements into practical guidance for engineering and system owners. Use data analytics, automation, continuous monitoring and AI-assisted tools to improve control coverage, evidence quality and the efficiency of the IT SOX program. Contribute to the development of IT controls methodology, standards, tooling, training, reporting and the broader Risk Partner operating model. Provide clear, concise updates on control health, audit readiness, deficiencies and remediation progress to senior technology and Finance stakeholders. We expect you to have: A degree in Information Systems, Computer Science, Engineering, Accounting, Finance or a related discipline, or equivalent professional experience. At least eight years of progressive experience in IT risk, IT controls, IT SOX, technology assurance, IT audit or a closely related area. Meaningful in-house technology or corporate ownership experience is required. Big Four or consulting experience is valuable when combined with subsequent in-house responsibility, but an exclusively advisory or external-audit background will not be sufficient. Experience working in a first-line technology, engineering, systems or IT operations role, or as an embedded in-house risk partner supporting a technology organization. Hands-on experience in an engineering-led technology, cloud, SaaS, platform or digital-product environment. Strong practical knowledge of SOX 404, ITGCs, IT application controls, automated controls, COSO and COBIT. Demonstrated experience with control design, implementation, monitoring, evidence review, audit readiness, issue evaluation and remediation. Practical understanding of modern technology environments, including cloud infrastructure, IAM, DevOps, CI/CD, SDLC, software repositories, deployment practices, system integrations and container orchestration such as Kubernetes. Experience connecting business-process controls to supporting systems, automated controls, IPEs/IUCs and underlying IT dependencies. The ability to communicate effectively with engineers, technical leaders, Finance stakeholders and external auditors. Strong judgment and the confidence to challenge control owners while developing practical, scalable solutions. A highly autonomous and hands-on approach, with the ability to operate effectively in an evolving environment with incomplete processes and competing priorities. Strong written and verbal English. The ability to work effectively across international time zones and travel when needed to build relationships with key technology and audit stakeholders. It will be an added bonus if you have: A professional certification such as CISA, CRISC, CISM, CIA, CPA or an equivalent qualification. Experience building or materially transforming an IT SOX or technology-controls framework in a listed or pre-IPO technology company. Experience in AI infrastructure, cloud platforms, large-scale SaaS, fintech, marketplaces or another engineering-intensive environment. Experience with GRC and audit-management tools such as Workiva, Jira, ServiceNow GRC or similar platforms. Experience with enterprise SaaS and financial systems such as NetSuite, HR platforms, billing systems, procurement tools or treasury systems. Experience onboarding acquired companies or newly implemented systems into SOX scope. Experience with control automation, continuous monitoring, data analytics or AI-assisted assurance. Exposure to AI governance, AI/ML control environments or controls supporting AI-enabled development and operations. #LI-DY1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $120,000 — $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.