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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. Role We are seeking a highly organized and detail-oriented People Systems Project Manager with strong experience in HR systems, HR operations, and process optimization. This role will support the growth and scalability of the People function by leading HR systems implementations, integrations, and workflow improvements. The ideal candidate combines HRIS expertise with operational HR knowledge and understands how technology capabilities align with real-world People processes. Experience within HR Operations, HRBP functions, or People Systems is highly valued. Reporting Line This role reports directly to the Head of Projects and Programs (Enterprise Technologies), with a dotted-line reporting relationship to the Head of People Systems. The People Systems team owns the strategy and governance for core HR platforms, while this role is responsible for project execution, delivery, and driving scalable process improvements in partnership with HR stakeholders. Key Responsibilities: Lead HR systems and process improvement projects from planning through rollout Partner with People Operations, HRBPs, and Operations teams to optimize workflows and system usage Translate HR business requirements into scalable system solutions and process documentation Drive implementation and optimization of HRIS workflows, automations, and integrations Use project management tools (e.g., Jira) to manage timelines, priorities, and reporting Identify opportunities for process simplification, automation, and standardization Ensure data accuracy, governance, and compliance across People systems Manage stakeholder communication, expectations, and adoption across projects Required Qualifications: Strong experience with HRIS platforms and People systems Background in HR Operations, HRBP, People Systems, or related functions Experience managing HR systems implementations or transformation projects Strong understanding of employee lifecycle processes and HR workflows Ability to balance business needs with system capabilities and scalability Excellent project management, organizational, and stakeholder management skills Nice to Have: Experience with platforms such as Workday, HiBob, BambooHR, or SuccessFactors Familiarity with Jira or similar project management tools Experience with workflow automation and process optimization initiatives PMP, Scrum Master, or HRIS-related certifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: 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 are looking for an Embedded Software Developer to design and implement the firmware and low-level software that powers our next-generation GPU and HPC platforms. This role will focus on embedded control, board management, telemetry, and hardware-firmware integration, ensuring that our systems operate reliably in high-density, mission-critical environments. Key Responsibilities • Design and implement embedded firmware for server management, telemetry, and control systems. • Maintain and enhance our custom OpenBMC firmware with new features and improvements • Enable real-time monitoring of power, thermal sensors, and hardware health. • Work closely with hardware engineers to validate firmware for existing and future platforms • Debug and optimize low-level drivers and protocols. • Contribute to long-term firmware architecture for GPU cluster reliability. Required Skills & Qualifications: • 5+ years in embedded systems or firmware development. • Proficiency in embedded Linux. • Hands-on experience with BMCs, microcontrollers, or SoC firmware. • Understanding of hardware bring-up and debugging • Languages: C, C++, Bash, Go, YAML • Firmware: OpenBMC, U-Boot, Linux Kernel • Interfaces: I2C, I3C, SPI, eSPI, UART, LPC • Protocols: SMBus, PCIe, PMBus, PECI • Build Systems: Meson, CMake • Descriptors & Formats: FRU, SMBIOS, ACPI, DMI Preferred: • Knowledge of the Yocto Project principles • Knowledge of systems and D-Bus principles • Proficiency in C++ • Good knowledge of C, sufficient for periodic work with Linux drivers and the U-Boot bootloader; • Experience in developing Linux drivers of any kind, especially those implementing sysfs and hwmon interfaces. • Experience with server BMC firmware IPMI, IPMB, KCS, SSIF, Redfish, PLDM • Knowledge of GPU/CPU telemetry frameworks (e.g., NVML, DCGM) • Exposure to firmware security (Secure Boot, signed firmware) • Experience with RAS (Reliability, Availability, Serviceability) • Background in high-performance computing or data center hardware. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $269,200 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: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. IN THIS ROLE YOU WILL Master the Sentry Ecosystem & Support Elite Developers - Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. - Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. - Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. - Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes. Engineer Agentic Operations (The Scaling Engine) - Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions. - Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely. - Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously. - The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine." YOU’LL LOVE THIS JOB IF - You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort. - You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon - You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next. - You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem. QUALIFICATIONS - 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems. - Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories. - Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database. - AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention. - Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI. BONUS QUALIFICATIONS - Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries. - Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Build and maintain the core infrastructure of the AIOps platform, including the unified monitoring & alerting system and the FinOps cost observability platform. Maintain and continuously optimize internal R&D infrastructure (GitLab, Nexus, Sonar, etc.). Manage monitoring data collection, alert governance, and cost data visualization across multi-cloud environments (Alibaba Cloud / AWS). Support cloud security operations, including cloud security alert management and compliance auditing. What We Look For In You 3+ years of DevOps or SRE experience; experience with AIOps or observability platform development is a plus. Proficient in Python; familiar with at least one of Go or Java. Full-stack capability (React/Vue frontend + backend API) is a plus. Hands-on experience with at least one major cloud platform (Alibaba Cloud or AWS); familiar with cloud monitoring products (CloudWatch / Alibaba Cloud CloudMonitor) and cost management tools. Familiar with monitoring and logging stacks such as Prometheus, Grafana, and ELK. Experience maintaining and optimizing CI/CD toolchains (GitLab CI, Nexus, container registries). Experience with AI/LLM application development (e.g., LLM API integration, RAG, Agent frameworks) is a plus. Good written and verbal English communication skills. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance. What You’ll Be Doing Cloud Platform Architecture & Operations Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.). Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations. Monitoring & Incident Management Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK). Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency). Cost Optimisation & Resource Management Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive). Establish resource quota management strategies to prevent waste and overspending. Security & Compliance Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities. Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS). Cross-Team Collaboration & Knowledge Sharing Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices). Document operational procedures (SOP manuals) and lead internal technical training sessions. What We Look For In You Technical Skills Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform. Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible). Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh). Experience Requirements 5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances. Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred. Team Management Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams. Certifications & Education AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred. Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields. Nice-To-Haves Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies. Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield). Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR). Team leadership experience is preferred. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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. Site Selection Manager 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, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Secure AI infrastructure before the market does. Demand for AI infrastructure continues to outpace supply. You'll identify and secure strategic opportunities before they become unavailable while balancing speed, scale, risk, and long-term flexibility. Expand the Nebius AI Cloud across the Americas. You'll evaluate emerging markets, develop regional acquisition strategies, and help shape where Nebius invests next as we scale across multiple geographies simultaneously. Structure transactions that accelerate deployment. You'll negotiate colocation agreements, build-to-suit developments, powered land acquisitions, and other infrastructure partnerships that enable AI capacity to come online faster. About the Role As a Site Selection Manager, you'll lead the acquisition of AI infrastructure opportunities across the Americas from market strategy through executed agreements. Working within the Infrastructure Acquisition Group, you'll identify new opportunities, negotiate complex transactions, and partner across Engineering, Energy, Finance, Legal, Technical Due Diligence, Project Development, and Delivery to bring new AI infrastructure online. This is a build-phase role on a build-phase team. Many of the standards, playbooks, and processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex transactions while helping build the systems that make every future deal faster, more consistent, and more scalable. What You'll Own Own the acquisition of AI infrastructure opportunities across the Americas, from market strategy through executed agreements. Develop regional acquisition strategies and maintain a continuous pipeline of qualified colocation, build-to-suit, and powered land opportunities. Lead negotiations across multiple commercial structures, from initial engagement through signed agreements. Serve as transaction owner, leading cross-functional deal teams to keep parallel workstreams aligned and on schedule. Prepare investment recommendations and present commercial, financial, and strategic analyses to executive leadership. Infrastructure Origination Develop acquisition strategies for priority markets across the Americas. Identify, evaluate, and advance colocation, build-to-suit, powered land, and other strategic infrastructure opportunities. Build and maintain relationships with developers, brokers, utilities, landowners, economic development agencies, and infrastructure partners. Assess network connectivity as a core site-selection criterion — long-haul access, carrier availability, and route diversity — engaging the Network team for technical validation. Lead negotiations from initial engagement through executed agreements across multiple commercial structures. Market Strategy Develop market intelligence across power availability, utility constraints, network connectivity and fiber availability (proximity to long-haul routes, carrier and dark-fiber presence, and route diversity), permitting environments, land availability, incentives, and competitive market activity. Identify emerging AI infrastructure markets and recommend long-term acquisition strategies. Build and maintain a continuous pipeline of qualified infrastructure opportunities aligned with Nebius' growth objectives. Monitor regional market trends to support long-term infrastructure planning. Transaction Leadership Serve as the transaction owner from opportunity identification through executed agreements. Lead cross-functional transaction teams across Legal, Finance, Energy, Engineering, Network, Technical Due Diligence, Project Development, and Delivery. Drive transaction schedules, resolve commercial issues, and maintain momentum across multiple parallel workstreams. Structure commercial solutions that balance speed, flexibility, risk, and long-term value. Cross-Functional Collaboration Partner with the Technical Due Diligence team to complete technical evaluations and assess development risk. Partner with the Network team to validate connectivity feasibility and factor long-haul, dark fiber, and points-of-presence considerations into site and market selection. Partner with the Project Development team to transition projects into development and construction readiness. Collaborate with Finance on commercial modeling, investment analysis, and executive approval packages. Work with Legal to negotiate agreements that appropriately allocate commercial and development risk. What Success Looks Like Build a strong pipeline of qualified AI infrastructure opportunities across the Americas. Execute infrastructure transactions that accelerate Nebius' expansion into strategic markets. Develop trusted relationships with developers, utilities, brokers, and strategic infrastructure partners. Deliver acquisition recommendations that balance speed, cost, scale, flexibility, and long-term strategic value. Develop regional market strategies that create a repeatable pipeline of future infrastructure opportunities. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to move complex transactions forward while helping define how future transactions should be executed. 8+ years of experience in data center site selection, commercial real estate, infrastructure development, or large-scale industrial development. Experience leading infrastructure or real estate transactions from opportunity identification through contract execution. Strong understanding of data center infrastructure, utility markets, land development, and commercial negotiations. Experience negotiating land acquisitions, leases, colocation agreements, build-to-suit transactions, or similar infrastructure agreements. Strong commercial judgment and the ability to balance technical, financial, and strategic considerations. Excellent communication and executive presentation skills. Demonstrated ability to lead complex cross-functional initiatives across multiple stakeholders. Bachelor's degree in Business, Finance, Real Estate, Engineering, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale, AI infrastructure, digital infrastructure, or mission-critical development. Knowledge of utility infrastructure, transmission, substations, renewable energy development, or power markets. Familiarity with the connectivity drivers of data center site selection (power, fiber and network availability, route diversity) and the ability to partner effectively with network engineering teams. Experience with GIS platforms, infrastructure market intelligence, or portfolio planning. Familiarity with data center development, permitting, or infrastructure delivery. 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 $170,000 — $225,000 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: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Work closely with founders, product, and design to implement new concepts and ideas - Build AI-powered functionality into the core of Linear - Update our collaborative content editor used across all internal surfaces - Build new user-facing features with beautiful and scalable UI components - Obsessively improve application performance - Refine our software development processes to keep the team operating at high velocity What we're looking for - 2-5 years of experience building customer-facing products at a software company with a high engineering bar - Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) - Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product - Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right - Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution - High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped - Thrives in a remote, async-first environment with a lean, high-output team - Experience at a startup or a company with a genuinely high engineering bar Our tech This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale. - Agentic workflow system utilizing temporal, operating at production scale - Proprietary websocket data sync engine https://www.youtube.com/watch?v=bnOpm3a1fRE built for speed and offline support - React, MobX, StyleX on the frontend - Extensive, highly-trafficked GraphQL API and SDK - Node, PostgreSQL, Temporal, and Redis on the backend - Hosted on Google Cloud with k8s - GitHub, Slack, Notion What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $173,500 — $214,250. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Read Me https://linear.app/readme a story about our mission - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Amsterdam, Netherlands; Germany; 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 We're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. 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: Amsterdam, Netherlands; Germany; Israel; London, United Kingdom; 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 Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Y our responsibilities will include: Improving services based on user feedback Building fault-tolerant, self-healing architecture Finding ways to speed up our systems and reduce user friction Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby An understanding of what's happening under the hood in Unix-like systems and the JVM A passion for improving the user experience The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: Experience in Platform Engineering Experience operating GitLab (or another VCS) and TeamCity (or another CI system) Experience with Spring and operating Java monoliths 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: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding. About the role We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales. Responsibilities: Pipeline Ownership: Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements. Full-Stack Compliance Coverage: TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration CMS: case management data, transaction analysis tooling, bulk search, KYB operation data Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements Data Quality: Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do. AI-Accelerated Domain Building: Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation. Collaboration: Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows. Requirements: 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration) Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling Strong data modelling skills for compliance or financial data (auditability, lineage, immutability) Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks Preferred Qualifications: Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains Background in crypto, fintech, or regulated financial services Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms AI/LLM tooling applied to data engineering in practice — concrete examples preferred Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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. Role Overview We are seeking a hands-on transformation leader to redesign and scale the end-to-end Quote-to-Cash process , with an initial focus on the journey from deal initiation through customer activation . You will lead cross-functional transformation initiatives that eliminate friction, standardize processes, strengthen governance, and embed automation across quoting, approvals, contracting, billing setup, and activation. The goal is to improve deal velocity, accuracy, predictability, and scalability as the business grows. This is a 0→1 and 1→n transformation role . You will assess the current state, define the target operating model and transformation roadmap, and drive implementation across processes, policies, systems, data, and ways of working. You will partner closely with Sales, Commercial Ops, Legal, Finance, GTM Ops, GTM Systems, Billing Engineering, and Billing Product . Responsibilities Lead the transformation of the end-to-end Quote-to-Cash lifecycle , initially focusing on deal initiation, structuring, approval, contracting, billing setup, and customer activation. Assess current-state processes, identify root causes of friction and rework, and define a scalable future-state operating model . Develop and execute a prioritized transformation roadmap spanning processes, policies, systems, data, controls, and organizational responsibilities . Redesign complex, fragmented, or manual workflows to improve speed, accuracy, automation, and the customer and seller experience. Define and implement policies, governance frameworks, approval authorities, and deal guardrails that enable scale without unnecessarily slowing the business. Partner with Sales and Commercial Ops to improve deal quality and enable first-time-right deal structuring. Collaborate with Legal and Finance to simplify approvals, standardize contract terms, and maintain appropriate commercial and financial controls. Work with GTM Systems to embed workflows, policies, data requirements, and controls into CRM, CPQ, contract management, and related tools. Partner with Billing Engineering and Billing Product to create a reliable and increasingly automated flow from order form to billing and customer activation. Standardize the handling of complex deal constructs, including usage-based pricing, multi-year agreements, ramp structures, prepayments, and custom commercial terms . Establish clear ownership, handoffs, and service expectations across teams involved in the Quote-to-Cash lifecycle. Develop playbooks, guidance, and change-management programs that drive adoption of new processes and tools. Establish transformation metrics and track improvements in cycle time, approval time, rework, policy adherence, billing accuracy, activation accuracy, and time-to-revenue . Lead cross-functional programs from design through implementation, adoption, and measurable business impact. What You Will Transform A fragmented deal lifecycle into a scalable, integrated Quote-to-Cash operating model . Manual and inconsistent processes into standardized, automated workflows . Reactive deal escalation into clear policies, decision rights, and approval frameworks . Disconnected order forms and billing setup into a reliable contract-to-billing-to-activation flow . Limited process visibility into measurable performance, clear accountability, and continuous improvement . Institutional knowledge into repeatable playbooks, system controls, and scalable operating practices . 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 $134,000 — $167,000 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: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? - Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user? - Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? - Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: New York, United States; United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale. The Team Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. The role This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. Your responsibilities will include: Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. Lead technical discovery and solution design during pre-sales and expansion conversations. Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. We expect you to have: 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations. Based in New York City, or willing to relocate. It will be an added bonus if you have: Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI. Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management. Track record helping large customers move from POC to production. Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets. Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company. Compensation We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. In order to deliver Render to our users, we must first provide the best internal developer platform for engineers to move fast, confidently, reliably, and securely along paved paths with the right set of tools, observability and guardrails. As Engineering Manager for the newly formed Platform team, you’ll lead a growing group of talented engineers — both established team members and future hires — who are energized by the opportunity to build this space alongside you. Together, you will modernize and bring Render's internal developer platform and shared production infrastructure (observability, CI/CD, developer environments, storage, and more) from good to great. Because the landscape we operate in is evolving rapidly, we build infrastructure that is modular and adaptable, able to support a product direction that is itself responding to a fast-moving market without over-indexing on any single bet. This team will have tremendous impact; unlike most infrastructure teams that build for internal consumers, our infrastructure is the product. Not only will you be enhancing the velocity and impact of your fellow Render engineers, but the 4.5 million developers using our platform as well. This role blends strong technical leadership with product thinking: you’ll partner closely with other engineering teams as well as product managers to translate user needs into high-quality, scalable systems that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, and a passion for building products that developers love. WHAT YOU'LL DO - Lead and grow a team of platform engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Stay up to date with relevant industry trends, emerging tools, and developer practices that will inform future team learning and opportunities for investment. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and reliability, security, and velocity impact of the features they build. - Partner closely with other teams like Runtime, Security, and Product to understand needs, align priorities, and ensure delivery of impactful features and solutions through thoughtful technical solutions and product roadmaps. WHAT WE'RE LOOKING FOR - 8+ years as an Engineer on an Infrastructure or similarly shaped team shipping products or features for other developers. - 4+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Ability to translate engineering goals and user needs into roadmaps and shipped features. - A strong sense of ownership and accountability for both team outcomes and long-term system health. - Experience improving Reliability and/or Developer Experience through tooling, processes, and team practices. - Deep experience with open source technologies supporting an internal platform tool or cluster, build & deployment systems, CI/CD, observability, and/or configuration management. NICE-TO-HAVES - Background working on highly scalable distributed systems or infrastructure platforms. - Experience on teams managing large fleets of developer environments, sandboxes, or testing ecosystems. - Experience building platforms and/or products used directly by developers. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring

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 creating an operations function within the Nebius communications organisation to support our External Communications, People Communications, and Sustainability teams.The operations team will help the whole communications organisation run more effectively, building the processes, tooling and coordination mechanisms that enable team members to focus on delivering an exceptional communications program.We are looking for someone to build this function. Reporting to the Chief Communications Officer, you will enjoy considerable autonomy and work closely with leaders across the communications organisation. You will also manage the day-to-day work of the communications organisation’s assistant, work closely with the Project Manager for AI adoption. As the function evolves, you may in time build out the operations team into a broader communications strategy and operations function This role be located from our HQ in Amsterdam on a Hybrid model What you will do Team operations and coordination Own the communications team's operational rhythm: quarterly and annual planning; internal calendars; team events, meetings and offsites; and cross-team coordination Coordinate team events, offsites, and the operational side of the management meeting cycle Act as connective tissue across the communications organisation, to help ensure maximum alignment and avoid duplications of effort or working at cross-purposes Strategy and project support Help develop and maintain the communications team's planning frameworks, OKRs, and goal-tracking Prepare materials for leadership reviews and internal reporting on team performance and pipeline Support senior leads on specific strategic projects as agreed Budget and contracts Build and maintain robust budgeting processes that give leads clear visibility into their spend at any point in the year Oversee implementation of the communications team budget: tracking spend, flagging variances, managing purchase orders and invoicing with finance Manage vendor and agency contracts: renewals, onboarding, scope changes, and compliance with procurement processes Tooling and AI Identify tooling needs and build the stack, from evaluation through to implementation and maintenance of third-party tools across the organisation Lead the communications team's adoption of AI tools, identifying where they add genuine value and helping team members use them effectively Work with IT and procurement to manage tool contracts, access, and spend What we are looking for Essential Demonstrated experience in an operations, strategy, or chief-of-staff type role, ideally within a communications, marketing, or media organisation Strong project management skills: you know how to design a process, stick to it, and adapt it when it isn't working Financial competence: comfortable managing budgets, tracking spend, and working with finance teams Comfortable working across a distributed team in multiple time zones Clear and direct communication style, written and verbal Pro-active approach to problem-solving – you are a self-starter who comes with solutions, not questions A strongly collaborative, low-ego approach based on building trust with the team and across the company Genuine interest in AI and technology: you don't need to be an engineer, but you need to be intellectually engaged with what we're building Preferred Experience working in or closely with a communications or PR function Familiarity with communications and media tools (monitoring platforms, distribution tools, project management software) Experience working in a fast-scaling tech company or startup environment Exposure to AI tools in a professional context Experience working in international and multicultural environments is highly valued. 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.