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Location: London, United Kingdom About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a visionary Regional Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision. This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. Chief Strategic Architects act as extensions of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation. This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration. First 90 Days Learn & Align (Days 0-30) Deep immersion into Workato's AI vision, product roadmap, and GTM strategy Shadow at least 10 executive customer conversations Develop initial point of view for engagement with CIO/CTO/CDO personas Engage & Formulate (Days 30-60) Lead first strategic engagements with enterprise accounts Co-develop executive playbooks with Sales and Product teams Establish feedback loops with Product and Engineering teams Influence & Scale (Days 60-90) Cultivate trusted relationships with C-level executives in 5+ strategic accounts Co-create first AI-driven integration use cases with customers Establish thought leadership presence through content and speaking opportunities Technical Trust & Executive Relationships Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi Influence enterprise architecture decisions and multi-year technology strategies at the executive level AI, Agentic Automation & Enterprise MCP Strategy Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes Position Workato as the integration and orchestration backbone for enterprise AI transformation Domain Expertise & Thought Leadership Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos Shape industry narratives and best practices that establish Workato as the category leader Deal Acceleration & Commercial Impact Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities Strategic Advisory & Technical Leadership Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise Guide prospects and customers through Enterprise Orchestration vision and roadmap development Develop prioritization frameworks for integration, automation, and AI use cases Lead technology evaluation and vendor selection processes with enterprise customers Design governance, scalability, and enterprise operating models for automation initiatives Product Influence & Market Intelligence Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations Develop and refine competitive positioning, objection handling, and differentiation strategies Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success Influence industry analysts and thought leaders to strengthen Workato's market position Internal Enablement & Team Development Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills Create scalable technical enablement content and programs that amplify your expertise across the field organization Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards Requirements Qualifications / Experience / Technical Skills Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 20+ years of technology transformation experience, including integration, middleware, or API management platforms 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role Demonstrated experience advising C-level executives on technology strategy and enterprise transformation Strong understanding of enterprise security, governance, and operating models Proven track record of driving platform expansion and value realization in enterprise accounts Excellent executive communication skills, including board-level presentations and strategic documentation Ability to operate independently in complex, ambiguous environments and take ownership of outcomes Travel to client sites up to 50%, with flexibility based on regional needs Soft Skills / Personal Characteristics Master's degree in Computer Science, Software Engineering, Business, or related field Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle Experience with cloud platforms: AWS, Azure, and GCP Hands-on experience with AI/ML platforms and agentic automation frameworks Experience in a high-growth startup or scale-up environment Established personal brand and thought leadership presence in the integration/automation space Measures of Success Long-term success for this leader will be measured by their ability to: Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration Create a robust pipeline of seven-figure opportunities tied to transformation initiatives Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility. Job Req ID: 2646

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a reliable, tech-savvy, and customer-focused Tier 1 Help Desk Technician to join our IT team. This position is responsible for providing first-level support for end-user IT issues, including hardware, software, and basic networking problems. You’re welcome to work remotely in Singapore . Your responsibilities will include: Serve as the first point of contact for users seeking technical assistance in person, messaging, ticket, or email. Log, categorize, and prioritize all incoming support requests in the IT ticketing system. Analyze, troubleshoot, resolve and document a broad scope of hardware, software, and peripheral issues (e.g., printers, monitors, network). Assist with user account creation, password resets, and access permissions in Active Directory and other enterprise systems. Install, configure, and maintain desktop/laptop computers, mobile devices, and software applications. Escalate complex or unresolved issues to Tier 2/3 support in a timely manner. Maintain and update asset inventory records. Facilitate and support seamless onboarding and off-boarding processes, including workstation setup, re-imaging and return. Follow standard procedures for proper escalation and ticket closure. Provide excellent customer service by ensuring timely and clear communication with end users. Extensively document actions taken and suggested resolutions in detail. Actively contribute to IT knowledge base. Assist with regular IT maintenance tasks, such as software updates and hardware checks (for both user endpoints and office infrastructure). Ensure compliance with company IT policies and procedures. It will be an added bonus if you have: Exhaust all possible scenarios within their access level when attempting to resolve an issue Proactively seek feedback from peers, mentors, and leaders Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects Contribute to continuous service improvement by participating in projects and driving operational enhancements. Build meaningful and fruitful relationships within the team and cross functionally Fearlessly seek improvement personally, within processes, and within the team’s culture We expect you to have: An IT customer support background with 4+ years of service desk technical experience. Advanced troubleshooting skills in AV systems, Microsoft Azure, Microsoft 365 (including Office 365), networking, software and MDM administration, along with experience managing enterprise applications such as Slack, Jira, Zoom, and similar tools. Technical documentation and knowledge base (KB) writing skills. Hands-on experience with Jira or comparable service management systems. A customer-first mindset, prioritizing employee satisfaction and support quality. The ability to independently resolve technical issues across the support portfolio. Strong organizational skills with the capacity to effectively prioritize and manage a busy workload. A collaborative spirit, working seamlessly with cross-functional team members to meet employee needs and achieve company goals. 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: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. - Fluency in French. NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. - Fluency in German. NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you. This role is based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions condsultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, 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 We’re building Nebius Token Factory, an AI inference platform for high-performance, cost-efficient workloads at scale, serving both developers and managed enterprise customers. As a Senior/Principal Product Manager, Inference Platform, you’ll join a team of PMs under the Inference Platform lead and own a core platform stream end to end, from strategy and roadmap to launch and adoption. The scope evolves quickly with the market (new models, modalities, hardware and customer needs), with a strong emphasis on scalability and reliability. You are welcome to work remotely from the US. Your responsibilities will include: Own the roadmap and outcomes for a part of the inference platform, aligning several cross-functional engineering teams across advanced model optimization, inference performance, model delivery, reliability, and enterprise features. Work with engineering and research to make inference more scalable, reliable and cost-efficient, and turn that into capabilities customers can depend on. Stay close to customers through research, interviews and hands-on PoCs, especially in managed enterprise. Track the market: open-source models, inference economics, and how businesses actually apply AI. Turn what you see into product bets. We expect you to have: Experience shipping technical platform products, with the seniority to lead work across multiple engineering teams. Real technical depth in how AI inference works, including model serving, distributed systems and production infrastructure. You think problems through yourself rather than relying on engineers to define them. Strong communication and expectations management across engineering, research, sales, support and leadership. You write crisp PRDs, RFCs and release notes. B2B/enterprise experience with technical buyers. Comfort with ambiguity and shifting scope It will be an added bonus if you have: Post-training experience, including training draft models. Experience with third-party technical partnerships. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $228,000 — $285,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result. The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems. You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like. Key responsibilities Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others. Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against. Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it. Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology. Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level. Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures. Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term. Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them. Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement. Minimum qualifications Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems. Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements. Experience taking hardware from architecture through bring-up and high-volume production deployment. Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification. Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one. Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Strong written communication — you'll write specs and reviews that many teams depend on. Preferred qualifications 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms. Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics. Familiarity with the chip-package-system interface and co-design. Experience establishing a new function, program, or engineering practice. Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow. Degree in EE, CE, ME, CS, or a related field, or equivalent experience. Depth in one or more of: High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect. BMC and platform firmware, hardware root of trust, and secure boot. 48V/HVDC power delivery and direct liquid cooling. Fleet-scale reliability engineering and RAS architecture. Signal and power integrity. Representative projects Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan. Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs. Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it. Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them. Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end. Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform. 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Dammam, Saudi Arabia The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization. Education Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required). Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred. Experience Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management. Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures. Experience establishing enterprise data standards, governance frameworks, and technology roadmaps. Requirements Required Qualifications Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics. Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures. Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures. Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms. Strong understanding of data governance, metadata management, master data management, and data quality frameworks. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices. Strong stakeholder management, communication, and leadership skills. Preferred Certifications TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Technical Competencies Enterprise Data Architecture Data Governance & Data Quality Master Data Management (MDM) Metadata Management & Data Catalog Data Warehousing & Data Lakes Lakehouse Architecture AI & Generative AI Architecture Machine Learning & MLOps Enterprise Integration & APIs Security, Privacy & Compliance Analytics & Business Intelligence Architecture Governance DevSecOps & CI/CD for AI

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: LangChain has strong technical credibility, a large developer community, and a lot worth saying. What we need now is someone to make sure we're saying it — consistently, strategically, and in ways that land. We're looking for a Head of Narratives to own how LangChain shows up in the world across communications, brand, social, and design. This is a role for someone who thinks like a media company operator: always-on publishing, sharp editorial judgment, a clear point of view on the themes that matter, and a relentless focus on getting great narratives in front of the right people at the right time. You'll lead an existing team of rockstars across brand, social, and design — each with deep expertise. Your job is to give the team a shared narrative direction, keep the output sharp and consistent, and make sure LangChain is building an audience that wants to hear from us. This is a player-coach role. You'll set the direction but you'll also be in the work — shaping editorial, giving creative feedback, and reviewing and writing. The right person is opinionated about what good looks like and hands-on enough to help get there.   WHAT YOU'LL DO: Communications - Define the themes and narratives LangChain is hitting. Spearhead the direction on what LangChain should be known for and translate that into a rolling communications strategy the whole team is working from. This is the backbone of everything else. - Own press and media relations. Kickstart our comms efforts, building and managing relationships with key journalists and outlets, drive proactive press coverage, and act as the point of contact for inbound media inquiries. - Shape executive visibility and thought leadership. Identify the moments, platforms, and formats where LangChain's leaders should have a voice, and help them show up with a clear, consistent point of view. - Lead announcement strategy. Plan and execute communications around major launches, funding, partnerships, and company milestones, working cross-functionally to make sure the story lands with the right audiences at the right time. - Set and uphold the communications standard. Define LangChain's voice in the outside world and the quality bar for anything that goes out under its name. Brand - Shape brand direction in close partnership with the brand lead. The brand lead focuses on brand voice, visual identity, and standards. You'll work closely together to align on where the brand is headed, what it stands for, and how it shows up — with narrative and brand informing each other rather than operating separately. - Stay close to major brand moments. Bring a point of view on concept and messaging for out-of-home, awareness campaigns, and other brand initiatives. Work with the brand lead to make sure what we're saying and how we're showing up are pulling in the same direction. - Make sure brand and narrative feel like one thing. The brand should feel like a natural extension of the editorial point of view, and vice versa. Social & Rich Media - Partner with the social lead on strategy, themes, and goals. The social lead focuses on growing LangChain's social channels and ways to amplify our content and messaging. Work together to ensure social is amplifying the themes and narratives the broader team is driving. - Shape LangChain's rich media approach together. Work with the social lead to develop a shared point of view on how video, audio, and other formats fit into the content mix — where they build audience, where they deepen credibility, and how to build the right execution muscle over time. - Track what's working, what's not, and use it to sharpen direction. Stay close to performance across content, comms, brand, and social to have a better sense on where to focus, what narratives are resonating, and where to double down. Brand Design - Lead the creative direction for brand design in close partnership with our brand designer. Own the visual vision for how LangChain looks and feels — and work day-to-day with our brand designer to translate that into execution across campaigns, content, comms, social, and brand moments. - Be a strong creative partner. Have a real point of view on what looks right, what earns trust with a technical audience, and where the work needs to go further. Give clear direction and help the designer do their best work. - Keep visual identity consistent across every channel. A media company looks like itself everywhere it shows up. Make sure LangChain does too. Team Leadership - Lead by being in it. Develop your team by being close to the work — giving useful feedback, shaping output, and raising the bar through example. - Build the operating rhythm. Establish the rituals and shared workflows — editorial planning, cross-functional reviews, publishing cadences — that help brand, social, comms, and design operate as a unit. - Connect narrative to the rest of the business. Translate what marketing, sales, product, and leadership need into a narrative strategy your team can execute — and keep everyone aligned as priorities shift.   WHAT WE'RE LOOKING FOR: - Ability to work like a media company operator. You think in publishing cadences, audience development, and narrative arcs — not just campaigns. You know what it takes to build an always-on narrative engine and keep it running at a high standard. - Player-coach. You've led creative, comms, or content teams and know how to develop people — but you stay close to the work and make it better by being in it. - Strong narrative instincts. You have a clear point of view on what makes a brand story work and can translate that into real direction across comms, brand, social, and design. - Analytically grounded. You track what's working, form a view on why, and use that to make better decisions about where to focus. You connect creative work to business outcomes. - Developer audience instincts. You understand what earns trust with technical audiences and can orient a creative team around that bar. - Collaborative and clear. You work well with strong practitioners who own their domains — building alignment without stepping on what they own. Nice to Have - Experience leading narrative, brand, or comms teams at a developer-focused company - Background in technical or developer marketing - Familiarity with the AI/ML ecosystem and the tools developers use to build - Track record running brand campaigns, including out-of-home or awareness programs Salary Range: $200K-$240K COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Remote - APAC; Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Supply Chain Manager with strong expertise & hands-on experience in server and GPU infrastructure procurement to support our global data center operations in the APAC region. You will operate at a high execution speed and be expected to quickly integrate into ongoing projects. Your responsibilities will include: Managing end-to-end procurement of server and GPU infrastructure for new data center builds Negotiating directly with OEM/ODM vendors Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline. Managing cost optimization, supply constraints, and vendor escalations Coordinating closely with engineering, logistics, finance, and operations team Maintenance Procurement: supporting global data centers after go-live, ensuring zero-disruption operations through proactive stock planning, coordinating urgent procurement We expect you to have: At least 5+ years of experience in server / data center hardware procurement Direct experience working with ODM/OEM manufacturers Strong negotiation skills with a history of securing supply commitments and favorable commercial terms in constrained markets Experience operating in fast-paced, high-pressure environments Ability to quickly understand technical infrastructure requirements Working proficiency in English It will be an added bonus if you have: Hands-on experience with GPU procurement Experience in hyper-scale / AI infrastructure environments Experience in global procurement operations Familiarity with NetSuite or ERP systems Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Mateo; New York Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-scaling AI infrastructure company that helps enterprises and AI-native startups build, fine-tune, and serve their own specialized AI models — no more relying on someone else's black-box API. Their platform runs in production for some of the most recognizable names in tech, spanning text, image, embedding, audio, and multimodal workloads. Freshly backed by a Series D at a $17.5B valuation, this is a company with real scale, real customers, and real momentum behind it. THE MISSION They believe the next generation of great products will be built by companies that own their AI stack, not just rent it. Their mission is making open-model AI infrastructure genuinely fast, flexible, and production-grade for the teams building at the frontier. THE OPPORTUNITY This is a forward-deployed engineering role where you're never far from either a terminal or a whiteboard with a VP on it. You'll work directly with VP Engineering, Head of AI/ML, and CTO-level partners at Fortune 500 enterprises and cutting-edge AI-native startups, owning the technical win from the first discovery call all the way through production. Two tracks are open — Enterprise and AI-Native — same role, different customer base, and we'll talk through which fits your background and interests best. WHAT YOU'LL DO - Run the full pre-sales field cycle yourself: discovery, POC scoping, model evals, and final model selection - Ship real production code inside customer environments — this is hands-on building, not advisory slides - Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM (SFT baseline, DPO/RFT a big plus) - Act as a true partner to your sales counterpart, shaping deal strategy rather than just supporting it - Build relationships across a customer's org, from engineers to executives, and know how to move a deal forward on both levels WHAT YOU BRING - 3+ years in a client-facing AI/ML role — Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure - Real hands-on experience with open-model LLM inference and/or fine-tuning - Hyperscaler experience in an AI context (AWS, Azure, or GCP) - Strong Python skills, comfort with GPU infrastructure and Kubernetes - A background at an AI-native company or a SaaS company genuinely building AI features (not bolting them on) - Full-time work history, and openness to travel to enterprise customers as needed KEY SUCCESS DRIVERS You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth — this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders. WHY JOIN? Compensation & Equity - Base salary $176K–$224K, OTE $220K–$280K - Performance-based variable compensation, paid quarterly - Meaningful equity in a fast-growing, well-funded startup — Series D at a $17.5B valuation Location - Remote-friendly with hubs in New York and San Mateo — flexibility to work from anywhere in the US with regular travel to enterprise customers Visa Sponsorship Details - Open to visa transfers (e.g. OPT, H1B transfers) - Open to visa sponsorships (e.g. new H1B, TN) Benefits - Comprehensive benefits package INTERVIEWING PROCESS - Recruiter/hiring manager screen (30 min): logistics, motivation, fit - Take-home (5 days): build a working text-to-SQL system - Culture + live coding (45 min): product discussion, extend your code live - Discovery + hiring manager (45 min): live discovery role-play - Executive conversation (30 min): short demo + values discussion We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a driven and industry-savvy Healthcare Solutions Partner to join our growing Healthcare & Life Sciences (HCLS) team. As a strategic connector between the Global Head of HCLS and regional Account Executives (AEs) , you will play a pivotal role in accelerating go-to-market execution, deepening client engagement, and ensuring our cloud and AI solutions align with the business, scientific, and regulatory needs of the healthcare ecosystem. Based in the US, you will manage strategic client relationships , identify and develop new business opportunities , and collaborate with partners — with a strong focus on the Digital Health, Medical Devices, and Medical Imaging segments. Your ability to understand complex scientific and business challenges, craft tailored solutions, and thrive in a fast-moving, innovation-led environment will define your success. This role combines consultative selling, industry expertise, and commercial execution , helping customers unlock the full potential of the Nebius platform. Your responsibilities will include: Demonstrate a deep understanding of Nebius and the value to our customers Own and grow your territory: Maintain and deliver against a strategic plan for region/territory. Help AE’s qualify and prioritise opportunities through an HCLS and compliance lens . Lead and support strategic discussions with Digital Health, Medical Device and Imaging companies. Client Engagement: Develop deep relationships with key stakeholders across the enterprise, positioning our AI and cloud solutions to address client-specific challenges. Act as a trusted advisor to clients, driving engagement and long-term relationships. Identify opportunities to apply AI/ML, HPC, and data platforms . Deal Support & Sales Acceleration Partner with Account Executives to shape account strategy, value messaging, and proposal content that will secure deals to meet revenue targets Help qualify and prioritise opportunities through an HC&LS and compliance lens . Support complex deal cycles where domain credibility and regulatory insight are critical. Solution Selling: Demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations, and presentations. Regional Representation: Represent Nebius at regional and industry events, and customer meetings. Market Knowledge: Stay updated on industry trends, emerging technologies, and competitive landscape to position our solutions effectively. Forecast with accuracy ; progress deals through the Salesforce sales process and deliver against ACV / activity targets. We expect you to have: Passion and desire to work in a startup culture, directly impacting the growth of the company Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies. Strong commercial acumen: value mapping, negotiation, multi‑year deals, and exec-level‑ storytelling. High energy, enthusiasm, and evidence of consistent growth vs. quota. CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar. Ability to travel as needed. It will be an added bonus and strong preference if you have: 5–10 years in hospital, medical device, manufacturing, healthcare, pharma, biotech, or life sciences, ideally in healthcare, business, consulting, GTM, product, or pre-sales roles. Deep understanding of European and UK healthcare systems, startups and their business processes, scientific data workflows, and regulatory frameworks. Proven ability to communicate complex scientific and technical concepts to non-technical stakeholders. Previous experience in a high-growth, start-up environment ideally selling cloud, AI/ML or HPC solutions. Exposure to SaaS models or cloud infrastructure sales. Experience selling to mid-market or enterprise-level clients Compensation We offer competitive salaries, ranging from $193k-$246K OTE based on your experience. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $137,600 — $172,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for a Software Engineer to build software that makes network operations safe, scalable, and boring — even as we launch new data centers and expand fast. This is not a “write scripts for configs” role: you’ll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn’t. Your responsibilities will include: Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations Close “last mile” gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling We expect you to have: 5+ years of professional software engineering experience (or equivalent practical background) Strong coding skills and ownership mindset: you can ship and operate reliable services Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes) You don’t have to be Network expert but we expect you to have interest in infrastructure and/or network It will be an added bonus if you have: Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or “network-as-code” style workflows Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection) Contributions to open source or experience extending/debugging OSS components in production environments We expect Engineers to: Manage large-scale projects involving multiple stakeholders Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Be involved in hiring and actively contribute to interviews Be willing to share knowledge and mentor others Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Service Delivery Manager to support strategic hyperscale customers using bare metal and GPU cloud AI infrastructure in Nebius data centers. This role acts as the technical and operational interface between the customer/platform and Nebius infrastructure teams, ensuring reliable service delivery, SLA compliance, and smooth operations of large-scale GPU clusters and bare metal environments. You will coordinate across data center operations, network, hardware lifecycle, and infrastructure engineering teams to deliver world-class infrastructure services for large AI workloads. Your responsibilities will include: Customer Infrastructure Ownership Serve as the primary technical point of contact for the customer. Manage operational relationship with hyperscale customers. Coordinate infrastructure lifecycle including provisioning, maintenance, and incident management. Service Delivery & SLA Management Ensure SLA and SLO compliance for infrastructure services. Drive incident management and root cause analysis. Track service performance and operational metrics. Data Center & Infrastructure Coordination Work closely with data center operations teams to manage hardware support and infrastructure maintenance. Coordinate bare metal deployments, replacements, and capacity expansion. Align infrastructure operations with customer workload requirements. Operational Excellence Establish operational processes for hyperscale infrastructure environments. Lead service reviews and operational planning with internal and customer teams. Improve reliability, response times, and operational workflows. Cross-Functional Collaboration Partner with engineering, networking, and hardware lifecycle teams. Support infrastructure scaling and new cluster deployments. Participate in planning for large-scale AI compute infrastructure. We expect you to have: 5+ years in technical account management, service delivery, or infrastructure operations Experience working with hyperscale customers or large enterprise clients Background in cloud, AI infrastructure, or data center operations Understanding of bare metal infrastructure Experience with data center environments Familiarity with GPU clusters / AI workloads (preferred) Knowledge of networking, hardware lifecycle, and infrastructure monitoring Strong stakeholder management Ability to operate in high-scale infrastructure environments Excellent communication between technical and business teams It will be an added bonus of you have: Experience working with hyperscale companies Experience supporting AI / ML infrastructure Experience with GPU clusters Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.