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Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid) About the role You'll design and build the core infrastructure that powers AI inference across Cloudflare's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and Cloudflare product teams, you'll solve hard problems in distributed systems and high-performance computing: sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and a model deployment platform serving both Cloudflare and customers bringing their own models. We're building an AI inference platform embedded in the fabric of the internet — something that doesn't exist yet — and this role puts you at the center of it. We're looking for high-agency systems engineers who are energized by foundational infrastructure problems and want to define how AI runs at the edge of the network. Responsibilities Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for Cloudflare users. Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users. System Reliability: Drive significant, measurable improvements in the platform's reliability and resilience by identifying and mitigating systemic risks. Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine-tune alerts to proactively identify and resolve production issues. Technical Leadership: Lead complex, cross-functional technical projects from initial concept and design through final deployment and operationalization. Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team. Desirable skills, Knowledge & Experience Proven experience in systems engineering, with a primary focus on distributed, high-performance systems. Expert proficiency in Rust programming, particularly in an asynchronous environment. Deep understanding and hands-on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket). Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment. Bonus Points Demonstrable experience with container orchestration platforms, specifically Kubernetes and/or Nomad . Familiarity with the unique architectural challenges involved in large-scale inference serving (e.g., LLMs and diffusion models). Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. Review and approve architecture and design of new systems, infrastructure, and network changes. Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). Design secure cloud architectures including IAM, networking, and workload protection. Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. Define and support identity and access management controls, including SSO, MFA, and privileged access. Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. Identify security risks and architectural gaps and recommend mitigation strategies. Participate in architecture reviews, risk assessments, and security design discussions. Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. Translate threat models, business requirements, and risk assessments into practical security controls. Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. Establish security controls for container orchestration platforms across development, testing, and production environments. Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management Develop technical security standards, architecture patterns, and security control baselines. Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. Define security requirements for identity, access, data protection, network security, workload isolation, and observability. Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. Experience working in hybrid environments (on-prem + cloud). Strong understanding of security architecture principles and risk-based design. Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. Strong analytical and problem-solving skills. It will be an added bonus if you have: Experience with Zero Trust architecture and network segmentation strategies. Familiarity with cloud security tools (e.g., Wiz). Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). Experience in SaaS, cloud-native, or enterprise-scale environments. Relevant certifications such as CISSP, CCSP, or equivalent. BSc in Computer Science, Information Security, or a related field. 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 Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person 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, California 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 Issues are the core of Sentry where it turns billions of events a day into actionable problems for developers to resolve. For most of its history, that has meant a long list of individual problems to work through, but that's changing. Sentry should tell you what's happening: that something broke ten minutes ago, what changed, who's affected and what's already being done about it. Seer works out the root cause and drafts a fix or hands it to a coding agent, and a person steps in only when needed. That only works if the platform underneath can be trusted. It has to see the incident, not just the individual symptoms. It needs a complete record of what happened and who, or what, did it. And every query a human or an agent asks has to come back fast. As a Staff Software Engineer on the Issues team, you'll set technical direction for the core system that makes this work. This space is moving fast and we expect what we ship to dramatically evolve as agents take on more of the work. IN THIS ROLE YOU WILL - Set technical direction for the Issue Platform. Own how issues are stored and queried, and lead how that evolves over the next several quarters. - Move Sentry from a list of problems to a picture of what's happening. Recognize when dozens of errors, alerts and detected problems are one incident, group them by root cause, and surface what matters without adding noise. - Make everything that happens to an issue queryable. Every issue builds up a history of events and of what people and agents have done with it. Make that history fast to search, filter and build on, for people in the UI and agents over the API, across PostgreSQL, ClickHouse and the Kafka pipelines that feed them. - Lead across teams and grow the engineers around you. Work closely with our Ingest, AI/ML and Issues teams, and help the engineers around you take on larger, more ambiguous problems. YOU’LL LOVE THIS JOB IF YOU - Are comfortable when the ground keeps moving. How developers handle production problems is changing every few months. You'd rather build a system for what's coming than tune the old one forever. - Want your systems to have a new kind of user. People and agents, including Seer, MCP clients and third-party tools, now act on the same issues. The system you build determines how effective they can be without a human. - Champion product quality and user experience. Build features that don't just work, they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. - Want to use what you build. We debug Sentry with Sentry every day. You'll be responsible for what you ship, and you'll use that experience to shape what we build next. QUALIFICATIONS - 8+ years of software engineering, much of it on large-scale backend systems in Python - You've set technical direction for a high-scale distributed system and led it across teams, from design doc to rollout - You've built or scaled a search or query system over large, fast-changing data - You've replaced a system you designed once the problem changed, and brought the team with you - You’re comfortable moving quickly and iterating toward an ideal solution - You're product-minded, with enough full-stack range to design from ingestion to the browser - You communicate clearly in writing and in person 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: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets. In this position, your responsibility will be to: Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current Ensure reliability and predictability of pipelines under high-throughput conditions Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals You may be a good fit if you: 8+ years of experience building production backend or data infrastructure systems Strong Go experience (C++/Rust is a plus) Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.) Experience building or operating databases, storage systems, data planes, or indexing pipelines Strong understanding of distributed systems, fault tolerance, consistency, and scalability Experience running production systems and handling operational incidents Systems-thinking mindset and ability to reason about end-to-end data flows Strong candidates may also have experience with: Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam Content systems including, scraping, proxying, or anti-bot infrastructure Ad tech, social networks, or other large-scale content platforms DBMS internals (open source or SaaS) and cloud infrastructure Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation (ICPC, IOI, or similar) SHAD or similar advanced technical programmes Conference talks or technical publications 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: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product team at Harvey, you'll play a critical role in designing and building new backend systems while equally scaling and strengthening our existing infrastructure. Our backend infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership - Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Corporate Development Associate plays a key role in supporting Nebius’s capital formation strategy and execution across debt, equity and structured capital soutions to support the company’s rapid expansion. This role drives financial analysis, supports execution of financing transactions, and works closely with internal and external stakeholders to optimise capital structure and fund growth initiatives. In addition, the role may also support M&A and related strategic initiatives. The position requires strong financial and capital markets acumen, the ability to manage multiple work streams, and a proactive approach to evaluating financing options in dynamic market environments. You’re welcome to work hybrid from London. Your responsibilities will include: Support the evaluation and execution of fundraising initiatives across a broad spectrum of instruments. Work closely with in-business finance and FP&A colleagues to build and maintain detailed financial models to assess capital structure, cost of capital, leverage capacity, and scenario outcomes. Prepare materials for financing processes, including investor presentations, lender materials, and internal investment memoranda. Coordinate work streams across financing transactions, working with internal teams (finance, legal, treasury) and external advisors (banks, investors, rating agencies). Support structuring of financing solutions, including debt instruments, hybrid securities, and other tailored capital solutions. Manage data rooms, diligence processes, and information flows for investors and lenders. Track and maintain relationships with financing counter parties, including banks, institutional investors, and alternative capital providers. Provide analytical support for broader corporate development activities, including selective M&A or strategic investments as needed. We expect you to have: 3+ years of experience in investment banking, capital markets, private credit, structured finance, or related roles or Corporate Development Associate from big tech industry Asset backed finance / debt experience Strong understanding of debt products, equity and equity-linked instruments, and capital markets dynamics. Experience supporting or executing financing transactions (e.g., debt issuance, structured financing, equity raises). Advanced financial modelling skills, including capital structure analysis and scenario modelling. Strong analytical and problem-solving skills with high attention to detail. Excellent communication skills and experience preparing materials for internal and external stakeholders. Ability to manage multiple work streams and operate effectively in fast-paced environments. High level of ownership, judgement, and ability to work with ambiguity. It will be an added bonus if you have: Experience with structured finance, private credit, or hybrid instruments. Exposure to technology, infrastructure, or high-growth environments. Understanding of M&A processes. 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 Jose, CA, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. About Vectra Vectra is the world leader in AI-driven cybersecurity, applying cutting-edge AI to detect and stop sophisticated cyberattacks across hybrid cloud, identity, and network environments. We are doubling down on AI innovation to drive strategic impact, accelerate our product roadmap, and ensure that we continue to deliver the most accurate threat signal in the industry. Role Overview We’re looking for a strategic and inspired Head of AI to lead our AI and data engineering teams, drive our AI business transformation strategy, and serve as a resident expert within the organization. You will shape the vision and execution of AI initiatives a nd work with business leadership to unlock the next wave of AI-driven capabilities across our organization, including IT, Go To Market, Customer, G&A and Product functions T his individual will focus on creating and operationalizing AI strategy while scaling team capabilities and ensuring high ROI from AI investments. What You’ll Do Strategic Leadership & Execution Define, evolve, and execute Vectra’s AI strategy in alignment with business goals. Evangelize AI vision and strategy to executives, cross-functional partners, and external stakeholders. Translate long-term AI goals into actionable roadmaps with clear priorities and measurable outcomes. Lead a team of cross-functional executives responsible for driving Gen AI initiatives in their organizations through a ‘hub-and-spoke model.’ Team Leadership & Development Lead and grow high-performing teams of AI engineers , machine learning engineers , and data engineers to deliver trans formational programs . Mentor and develop technical talent; foster a culture of collaboration, innovation, and continuous learning. Set performance targets and build career paths for team members. Cross-Functional Partnership Work closely with Engineering, Product, Data Science, Security Research, and Go-to-Market functions to embed AI across Vectra’s platform and solutions. Partner with executive leaders to conduct “build vs buy” assessments, prioritize programs, conduct feasibility assessments, document requirements and deliver technical programs assessments, Technical Excellence Guide architectural decisions for scalable AI/ML systems, data pipelines, model governance, and deployment frameworks. Drive best practices for experiment tracking, monitoring, retraining, and model lifecycle management. Stay abreast of AI advancements — especially in machine learning, deep learning, generative models, and large-scale distributed systems — and determine how to bring relevant innovation into production. Governance & Responsible AI Ensure responsible, secure, and ethical use of AI — especially given the sensitive nature of customer and internal data. Establish governance frameworks for model quality, bias mitigation, and compliance with internal and external standards. Measurement & Impact Define and track key performance indicators for AI initiatives (e.g., operational efficiency, ROI/cost impact, and business value delivered). Report on progress, blockers, and outcomes to senior leadership. What We’re Looking For Experience 8+ years of experience building, scaling, and deploying AI/ML systems in production environments in Engineering or IT organizations. 3+ years in a leadership role managing engineers, data practitioners, or AI/ML teams. Proven track record shaping AI strategy that influences product and business outcomes. Technical Expertise Strong foundation in machine learning, data architecture, distributed systems, and AI tooling. Hands-on experience with modern AI tools,LLM's, cloud platforms, and data infrastructure. Track record of deploying solutions at scale with attention to reliability, performance, and monitoring. Leadership Skills Comfortable operating at both strategic and tactical levels. Excellent communicator with ability to articulate complex technical concepts to non-technical stakeholders. Demonstrated ability to collaborate across functions and lead in a high-growth environment. Education Advanced degree in Computer Science, AI/Machine Learning, IT development/ Data Science, or a related field preferred. Vectra is at the forefront of cybersecurity AI innovation — applying cutting-edge AI to defend organizations worldwide. You’ll lead a growing team, work with world-class technologists, and directly influence how AI protects customers from evolving threats. Join us as we build the next generation of AI-powered security capabilities. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $252,000 — $340,900 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discovery & LLM-driven experiences Content and user understanding & large-scale representation learning Large-scale ML infrastructure and pipelines What You’ll Do Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities Drive measurable impact on user engagement, discovery, and long-term value Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making Required Qualifications 7+ years of experience building, deploying, and operating machine learning systems in production Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc) Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions Track record of driving measurable impact through applied machine learning in real-world products Preferred Qualifications Subject matter expertise in one of the following domains: Recommender systems Search systems (lexical and semantic retrieval and ranking) Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding) Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Home Experience ML Understanding Feed Relevance Answer Experience Search and Answers Relevance Search Experience Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Sr. Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. Your responsibilities will include: Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure. Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability. Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior. Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues. Converting customer requirements into practical architectures, configurations, and execution plans. Identifying opportunities to improve system performance, stability, and overall customer experience. Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices. Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams. We expect you to have: Experience in a customer-facing technical role (e.g., solutions engineer, support engineer, technical account manager, or similar). Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations. Hands-on experience with Linux systems and system-level troubleshooting. Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems. Ability to diagnose issues across hardware, networking, and software layers. Strong analytical and problem-solving skills, with the ability to operate effectively in high-pressure situations. Excellent communication skills, with the ability to explain complex technical concepts clearly to customers. A proactive, ownership-driven approach with a strong focus on customer success. It would be an added bonus if you have: Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms. Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL) Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $180K to $220K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are looking for a strong Engineering Manager to lead a high-impact team within PlayStation’s Client Developer Experience (DevEx) team. This role sits at the center of how developers build, test, and ship software across client and system software teams. You will lead the development of modern developer platforms and tools, including documentation systems, intelligent search, performance tooling, and AI powered experiences. This role requires a balanced leader, someone who can grow and manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed. You will operate across frontend-heavy developer experiences (JS, React, React Native) as well as backend/platform systems, shaping solutions that are both technically sound and highly usable for developers. What You’ll Do Lead, grow, and mentor a team of engineers, building a high-performing, ownership driven culture Drive delivery of developer platforms and tools used across PlayStation Provide technical leadership at both code and system design levels, especially for frontend and developer-facing systems Guide the design and evolution of complex, scalable systems across frontend, backend, and platform layers Partner with AI/ML, QE, System Software, and Product teams to align on priorities and execution Influence cross-team technical decisions and ensure strong alignment across partner organizations Balance short-term delivery with long-term platform strategy Ensure high-quality developer experiences by focusing on usability, performance, and reliability Identify gaps, remove blockers, and drive clarity in ambiguous problem spaces What We’re Looking For 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams. Strong technical background with hands-on understanding of frontend systems (JavaScript, React, React Native) and solid backend/platform fundamentals Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers) Proven experience designing and delivering complex, distributed systems Track record of building and scaling high-performing engineering teams Experience working on developer tools, internal platforms, or productivity systems Strong ability to influence and align stakeholders across teams Excellent communication skills across both technical and non-technical audiences Ability to operate effectively in fast-moving, ambiguous environments Bachelors degree or equivalent Nice to Have Experience with Python or backend services supporting developer platforms Experience with AI/ML-driven workflows or developer tooling Background in performance profiling and or developer ecosystems Experience in large-scale, multi-team environments You will operate in a role that requires leadership, technical depth, and cross-org influence Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including color, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, birthing parent or parental status, trade union membership or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. #LI-AT1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $201,400 — $302,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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. The role: We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications 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: New York City, NY | Seattle, WA; 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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Responsibilities: Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow 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: $285,000 — $380,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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 We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system. About the Role We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments. You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span: Identity trust & risk modeling — fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals. Cluster & relationship intelligence — graph and clustering methods to identify account farms, mass registration, and coordinated attacks. Behavioral risk modeling — behavioral features and sequence models for account takeover and abnormal-session detection. Biometric & multimodal signals — face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer. AI agents — applying agentic AI to scale investigation, detection, and operational defense. What You'll Be Doing Build identity trust & risk models: Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning. Uncover organized fraud with graph & clustering: Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse. Develop behavioral features & sequence models: Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions. Leverage biometric & multimodal signals: Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself. Drive execution & collaboration: Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling. Advance applied R&D: Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses. Raise the technical bar: Contribute to design reviews, share applied-AI best practices, and mentor junior engineers. What We Look For 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production. Graph & clustering expertise: Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection. Behavioral modeling: Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines. Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems. Strong technical & coding skills: Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency. Adversarial mindset: Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks. Collaboration: Strong communication skills, with experience working across engineering, product, and risk teams. Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field. Preferred Qualifications Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security. Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics. Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features. Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake). Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models. Experience with LLMs and AI agents. Experience working in fast-paced technology companies or security-critical environments. Research publications, patents, or open-source contributions in relevant AI fields. 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: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Engineer on the Core Infra team at Harvey, you will define how our database infrastructure operates and evolves across our legal AI platform. Harvey runs a global fleet of PostgreSQL databases spanning multiple regions and availability zones. You’ll own the technical strategy for this fleet—setting the standards for migration governance, driving architecture decisions for multi-region scaling, and establishing the operational practices that keep our data layer reliable as we grow. This is a leadership role with deep hands-on expectations. You’ll partner directly with Principal and Staff Engineers on infrastructure roadmap decisions while also being the person who can diagnose a replication lag spike at 2am. You’ll build the migration review framework, define the tooling strategy, and raise the bar for how the entire engineering organization thinks about database safety and performance. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Migration Governance – Own the migration governance framework end-to-end—design the review workflow, CI gate checks, automated rollback procedures, and fleet-wide deployment sequencing that makes safe migrations the default across the org - Architecture & Scaling – Drive the technical strategy for Harvey’s global database fleet—multi-region replication design, capacity planning, sharding and partitioning approaches, and fleet-wide observability as we scale into new markets - Reliability & Performance – Own database reliability and performance at the fleet level—monitoring replication health, optimizing query performance, tuning vacuum and connection management, and building the alerting that gives us confidence across all production environments - Platform & Tooling – Build self-service tooling and developer guardrails—migration dry-runs, schema diff previews, automated health checks, performance regression detection—so engineering teams can move fast without bottlenecking on a single DBA - Incident Leadership – Lead database incident response and drive systemic improvements—triage production issues, run post-incident reviews, and turn lessons learned into durable process and tooling fixes Even Better If You Can: - Security & Compliance – Partner with Security and Compliance to design and enforce data-layer controls for SOC 2, GDPR, and data residency requirements—access controls, audit logging, encryption standards, and data lifecycle policies - Strategic Partnership – Represent database engineering in vendor evaluations, build-vs-buy decisions, and technology strategy discussions with engineering leadership - Team Building – Shape the database engineering function at Harvey—define the operating model, set the hiring bar, mentor engineers on database best practices, and build the culture where teams proactively think about data safety WHAT YOU HAVE - 10+ years of hands-on experience in database administration, database reliability engineering, or infrastructure engineering with PostgreSQL as your primary database, with demonstrated staff-level scope—you’ve set standards across teams, not just operated within one - Expert-level PostgreSQL knowledge (required)—WAL mechanics, vacuum tuning, logical and physical replication, partitioning strategies, and the ability to debug production issues others can’t. PostgreSQL is our core database and deep fluency is non-negotiable - Track record of building migration governance systems—not just reviewing migrations, but designing the frameworks, tooling, and organizational processes that make safe migrations the default - Experience architecting database infrastructure for multi-region, high-availability environments—replication topologies, failover automation, and data consistency trade-offs at fleet scale - Deep fluency with database observability—you’ve built monitoring strategies using Datadog, pganalyze, or custom instrumentation, and you know which metrics actually predict incidents - Experience leading database major version upgrades (e.g., PostgreSQL 14 → 16) or sharding initiatives in production with zero downtime - Proven ability to influence technical direction across teams without direct authority—you’ve written RFCs, set standards, and changed how an engineering organization thinks about database operations - Proficiency with cloud database services at scale (Azure Database for PostgreSQL, GCP Cloud SQL, or AWS RDS/Aurora) and infrastructure-as-code (Terraform, Pulumi) - Clear communication across audiences—you can present a database architecture decision to the VP of Engineering and explain a migration risk to a junior developer with equal clarity Bonus - Strong software engineering skills (Python, Go, or similar)—you build production-grade tooling and automation, not one-off scripts - Exposure to vector databases, embedding storage, or adjacent systems (Redis, Elasticsearch, Kafka) relevant to AI/ML workloads in regulated industries - Background building or leading a database engineering function from scratch — defining the team charter, hiring, and operating model COMPENSATION $190,720 - $350,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. WHO WE ARE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment   NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Kansas City, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Team You will join a fast-growing Neocloud infrastructure organization operating at the intersection of AI, high-performance computing (HPC), and hyperscale cloud services . Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads. As global data center operations expand, this role offers significant career progression , direct involvement in new data center builds and expansions , and exposure to industry-leading GPU platforms . Your work will have a measurable impact on platform reliability, customer SLAs, and operational efficiency , while collaborating closely with experts in AI infrastructure design, cloud operations, and data center engineering . This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in design, deployment, and operations . The Role As an IT Manager , you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure. Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly. You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area Your responsibilities will include: Manage IT support team to achieve KPI in IT infrastructure support and project planning. Collaborating effectively with internal teams and external contractors to address technical and operational challenges. Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance. Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations. Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure. Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements. Manage additional processes around asset management, Return Merchandise Authorizations (RMAs). We expect you to have: 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues. A solid understanding of data center operations, as well as server and network equipment principles. Practical experience in project planning and management. Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM). Basic proficiency in the Linux operating system and familiarity with command-line tools. Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables. Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation. A proactive, responsible and goal-oriented approach to work. It will be an added bonus if you have: ITIL and/or PMI certification. Compensation: $146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible) 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 $146,880 — $220,320 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: Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Technical Project Manager, you will own the delivery of a defined workstream within large-scale data center and GPU infrastructure programs. In this role you’ll be responsible for tracking progress, managing dependencies, and ensuring your workstream is delivered on time and at quality. This is a hands-on role at the intersection of infrastructure, execution, and coordination, with strong exposure to real-world data center delivery. Travel: On-site presence at data centers will be required during key deployment phases. Your responsibilities will include: Own delivery of a defined workstream within a larger data center or infrastructure program. Track scope, schedule, and dependencies, escalating risks when needed. Coordinate with engineering, networking, construction, and operations teams. Maintain clear and structured reporting on progress, risks, and blockers. Support vendor and contractor coordination within your scope. Work closely with the Senior TPM to align on priorities and execution approach. Technical Scope & Expectations This role requires exposure to physical infrastructure environments, not only software-based projects. You should be comfortable working with or learning about: Data center environments: basic understanding of infrastructure readiness (power, cooling, space, networking dependencies). Compute infrastructure: knowledge about server and storage equipment. Networking: cabling, connectivity, and integration dependencies. Deployment & bring-up: understanding how systems move from installation to operational readiness. You are not expected to be an expert, but you should: Be willing to learn technical concepts quickly. Understand how different parts of infrastructure depend on each other. Identify when something is not ready or at risk and escalate appropriately. Communicate effectively with technical teams. We expect you to have: 2–5 years of experience in project management, operations, or technical coordination roles. Ability to organize work, track progress, and manage multiple tasks simultaneously. communication skills and ability to work with cross-functional teams. Structured thinking and attention to details. Willingness to learn and grow in a fast-paced, technical environment. It will be an added bonus if you have Exposure to data center, networking, or hardware-related projects, Familiarity with project management tools (Jira, Asana, etc.), Understanding of cloud environments infrastructure, Certifications or coursework in project management. 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.