CoreWeave
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance. About The Role As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies. Key Responsibilities Design and implement scalable data ingestion pipelines. Build feature processing and baseline computation systems. Productionize models for prediction and detection. Develop and operate low-latency service and robust offline workflows. Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution. Implement monitoring and feedback loops for continuous model and signal improvement. Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics. Implement a scalable solution for mitigation and structured analysis. Who You Are 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores and ensuring offline/online feature parity. Hands on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection. Experience designing scalable microservices deployed in Kubernetes-based environments. Strong proficiency in Python and at least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware level monitoring concepts. Demonstrated experience scaling systems from Proof of Concept to production grade, fleet level deployments. Preferred Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters. Experience building anomaly detection or failure prediction systems for hardware or distributed systems. Experience implementing distributed straggler detection or collective level performance analysis systems. Experience developing agentic or LLM powered reasoning systems for diagnostics or operational intelligence. Background in reliability engineering or SRE practices. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match.Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love building systems that turn raw infrastructure telemetry into actionable intelligence. You're curious about distributed systems failure modes, GPU performance pathologies, and reliability engineering at scale. You're excited by the idea of moving from anomaly detection to prediction to autonomous root cause reasoning. You enjoy designing platforms that protect uptime, revenue, and customer trust through proactive systems thinking. Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereof, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation ("GDPR") and (ii) the GDPR as it forms part of the laws of the UK ("UK GDPR"), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law . click apply for full job details
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance. About The Role As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies. Key Responsibilities Design and implement scalable data ingestion pipelines. Build feature processing and baseline computation systems. Productionize models for prediction and detection. Develop and operate low-latency service and robust offline workflows. Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution. Implement monitoring and feedback loops for continuous model and signal improvement. Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics. Implement a scalable solution for mitigation and structured analysis. Who You Are 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores and ensuring offline/online feature parity. Hands on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection. Experience designing scalable microservices deployed in Kubernetes-based environments. Strong proficiency in Python and at least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware level monitoring concepts. Demonstrated experience scaling systems from Proof of Concept to production grade, fleet level deployments. Preferred Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters. Experience building anomaly detection or failure prediction systems for hardware or distributed systems. Experience implementing distributed straggler detection or collective level performance analysis systems. Experience developing agentic or LLM powered reasoning systems for diagnostics or operational intelligence. Background in reliability engineering or SRE practices. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match.Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love building systems that turn raw infrastructure telemetry into actionable intelligence. You're curious about distributed systems failure modes, GPU performance pathologies, and reliability engineering at scale. You're excited by the idea of moving from anomaly detection to prediction to autonomous root cause reasoning. You enjoy designing platforms that protect uptime, revenue, and customer trust through proactive systems thinking. Why CoreWeave? About At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best in Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. Updated privacy notice - UK and EU Job Applications When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. ("Controller"), which is located at Phosphor (6th Floor), 133 Park Street, London, SE1 9EA and can be contacted by emailing . Controller's data protection officer can be contacted at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereof, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation ("GDPR") and (ii) the GDPR as it forms part of the laws of the UK ("UK GDPR"), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law . click apply for full job details
CoreWeave
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The EMEA Startup Business Development organisation will help make CoreWeave the preferred platform for the next generation of AI-native companies. The team will build relationships and programmes across the institutions that create, fund and accelerate startups, then convert that ecosystem position into qualified opportunities and practical advantage for CoreWeave's country field teams. About The Role The Senior Director, Startup Business Development - EMEA will report to the Vice President and Managing Director, EMEA and lead the development of CoreWeave's startup and venture capital business across the region. This is a business development overlay role. Country sales teams will retain account ownership, opportunity management and revenue responsibility across the Startup, Digital Native and Enterprise segments. You will build the relationships, propositions, programmes, market intelligence and operating mechanisms that help those teams identify the right companies earlier, engage them before platform decisions are established and win them onto CoreWeave. You will build and lead a team spanning priority geographies and regional programmes. Initial focus will include the United Kingdom, France, Germany, the Nordics, Benelux and Israel. In This Role, You Will Define and execute CoreWeave's EMEA startup business development strategy, operating plan and investment priorities. Build a systematic view of the regional startup opportunity, identifying the markets, investor portfolios, technology categories and companies most likely to become significant consumers of AI infrastructure. Establish clear criteria for prioritising startups based on technical ambition, compute intensity, funding trajectory, workload timing, leadership quality and strategic value. Build senior relationships with venture capital firms, seed and growth investors, accelerators, universities, research laboratories and founder communities. Develop strategic engagement plans for priority ecosystem organisations and create repeatable mechanisms for portfolio introductions, founder support, technical engagement and market intelligence. Position CoreWeave as the preferred AI infrastructure and developer platform for companies with meaningful training, fine-tuning, inference and applied intelligence requirements. Engage founders, CTOs, researchers and investors before infrastructure architectures and platform relationships are firmly established. Create qualified opportunities and introductions for country Startup and Digital Native field teams, connecting high potential companies rapidly to the right sellers, technical resources and executive sponsors. Partner with country sales leaders to define target companies, ecosystem priorities and engagement strategies while maintaining clear account ownership. Coordinate strategically important opportunities across Sales, Field Engineering, Product, Engineering, Capacity, Finance, Legal, Marketing and Customer Success. Establish clear programme eligibility, investment and graduation criteria, ensuring activity is focused on durable platform adoption and commercial potential. Act as the regional voice of the startup ecosystem inside CoreWeave, translating market insight into recommendations for Product, Engineering, Capacity, Marketing and commercial leadership. Build, lead and develop a high performing EMEA Startup Business Development team with complementary programme and geographic coverage. Establish a rigorous operating cadence and scorecard covering ecosystem coverage, target company engagement, field acceptance, sourced and influenced pipeline, technical activation, consumption and downstream commercial impact. During The First 12 Months, You Will Define the EMEA startup business development strategy, operating plan and investment priorities. Develop and launch CoreWeave's proposition for AI startups at different stages of formation and growth. Design and launch the initial portfolio of regional startup and venture ecosystem programmes. Define the organisation, hire the initial team and establish coverage across priority programmes and geographies. Identify, segment and onboard the venture capital firms, accelerators, universities and research organisations most relevant to CoreWeave. Establish senior relationships and strategic engagement plans with priority ecosystem partners. Create mechanisms for portfolio introductions, technical engagement, founder support and joint planning. Build and maintain a prioritised target list of high potential AI startups and research spinouts. Map priority investor portfolios against CoreWeave's ideal startup profile and connect qualified companies to the appropriate country sales teams. Establish clear ways of working with country field sales teams, including qualification, routing, account assignment, handoff, executive sponsorship and attribution. Establish effective operating mechanisms with Product, Engineering, Field Engineering, Marketing, Capacity, Finance, Legal and other supporting groups. Implement the business review cadence, measurement framework and attribution model required to assess ecosystem and field impact. Who You Are 15+ years of experience in business development, sales, partnerships, startup go to market or venture ecosystem leadership within cloud infrastructure, enterprise technology, AI or another complex technology environment. Significant leadership experience building and operating startup, venture capital or ecosystem programmes across multiple EMEA markets. A proven record of converting ecosystem relationships into qualified opportunities, technical adoption, pipeline, consumption and commercial growth. Demonstrated experience developing senior relationships with venture capital firms, accelerators, universities, research organisations, founders, CTOs and technology executives. Experience working with country sales organisations to create demand and accelerate customer acquisition without displacing account ownership. Strong understanding of the startup lifecycle, from formation and seed funding through venture growth and scaled commercial operation. Experience identifying promising companies early and assessing their technical ambition, infrastructure needs, funding trajectory and long term potential. Strong understanding of cloud infrastructure, AI platforms, developer tooling and the requirements of AI native companies. Demonstrated ability to build structured programmes, operating mechanisms and performance measures that scale beyond personal relationships. Experience aligning Sales, Field Engineering, Product, Marketing, Finance, Legal and executive stakeholders around shared opportunities. Strong analytical and operational capability, including market segmentation, portfolio analysis, opportunity attribution and executive business reviews. Experience building, hiring, coaching and developing high-performing business development or ecosystem teams. A record of operating successfully across EMEA markets and cultures, with the ability to travel regularly. Preferred Leadership experience within the startup organisation of a major hyperscale cloud provider, AI platform company or global infrastructure technology business. Direct experience building or scaling a regional startup business measured through customer acquisition, workload adoption, consumption and revenue. Experience designing the operating model between a regional startup business development organisation and country based sales teams. Established senior relationships across the EMEA venture capital and AI startup ecosystem. Experience working with compute intensive AI companies across training, fine tuning, inference, applied AI or AI platform development. Experience creating startup programmes or technical adoption mechanisms that helped companies progress from experimentation to scaled production workloads. Experience influencing product, capacity and go to market decisions using insight from founders, investors and startups. A bachelor's degree or equivalent practical experience. We will also consider an exceptional senior venture ecosystem builder who has strong credibility with EMEA investors and founders, can identify high potential technical companies early and has translated ecosystem access into measurable commercial outcomes for a technology platform. Experience focused primarily on events, sponsorships, brand awareness or community activity will not, by itself, be sufficient. Wondering If You're a Good Fit? We believe in investing in our people and value candidates who bring different experiences, even if they do not meet every requirement. You have built a startup business or ecosystem and understand that credibility must ultimately produce customer and field outcomes. . click apply for full job details
CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The EMEA Startup Business Development organisation will help make CoreWeave the preferred platform for the next generation of AI-native companies. The team will build relationships and programmes across the institutions that create, fund and accelerate startups, then convert that ecosystem position into qualified opportunities and practical advantage for CoreWeave's country field teams. About The Role The Senior Director, Startup Business Development - EMEA will report to the Vice President and Managing Director, EMEA and lead the development of CoreWeave's startup and venture capital business across the region. This is a business development overlay role. Country sales teams will retain account ownership, opportunity management and revenue responsibility across the Startup, Digital Native and Enterprise segments. You will build the relationships, propositions, programmes, market intelligence and operating mechanisms that help those teams identify the right companies earlier, engage them before platform decisions are established and win them onto CoreWeave. You will build and lead a team spanning priority geographies and regional programmes. Initial focus will include the United Kingdom, France, Germany, the Nordics, Benelux and Israel. In This Role, You Will Define and execute CoreWeave's EMEA startup business development strategy, operating plan and investment priorities. Build a systematic view of the regional startup opportunity, identifying the markets, investor portfolios, technology categories and companies most likely to become significant consumers of AI infrastructure. Establish clear criteria for prioritising startups based on technical ambition, compute intensity, funding trajectory, workload timing, leadership quality and strategic value. Build senior relationships with venture capital firms, seed and growth investors, accelerators, universities, research laboratories and founder communities. Develop strategic engagement plans for priority ecosystem organisations and create repeatable mechanisms for portfolio introductions, founder support, technical engagement and market intelligence. Position CoreWeave as the preferred AI infrastructure and developer platform for companies with meaningful training, fine-tuning, inference and applied intelligence requirements. Engage founders, CTOs, researchers and investors before infrastructure architectures and platform relationships are firmly established. Create qualified opportunities and introductions for country Startup and Digital Native field teams, connecting high potential companies rapidly to the right sellers, technical resources and executive sponsors. Partner with country sales leaders to define target companies, ecosystem priorities and engagement strategies while maintaining clear account ownership. Coordinate strategically important opportunities across Sales, Field Engineering, Product, Engineering, Capacity, Finance, Legal, Marketing and Customer Success. Establish clear programme eligibility, investment and graduation criteria, ensuring activity is focused on durable platform adoption and commercial potential. Act as the regional voice of the startup ecosystem inside CoreWeave, translating market insight into recommendations for Product, Engineering, Capacity, Marketing and commercial leadership. Build, lead and develop a high performing EMEA Startup Business Development team with complementary programme and geographic coverage. Establish a rigorous operating cadence and scorecard covering ecosystem coverage, target company engagement, field acceptance, sourced and influenced pipeline, technical activation, consumption and downstream commercial impact. During The First 12 Months, You Will Define the EMEA startup business development strategy, operating plan and investment priorities. Develop and launch CoreWeave's proposition for AI startups at different stages of formation and growth. Design and launch the initial portfolio of regional startup and venture ecosystem programmes. Define the organisation, hire the initial team and establish coverage across priority programmes and geographies. Identify, segment and onboard the venture capital firms, accelerators, universities and research organisations most relevant to CoreWeave. Establish senior relationships and strategic engagement plans with priority ecosystem partners. Create mechanisms for portfolio introductions, technical engagement, founder support and joint planning. Build and maintain a prioritised target list of high potential AI startups and research spinouts. Map priority investor portfolios against CoreWeave's ideal startup profile and connect qualified companies to the appropriate country sales teams. Establish clear ways of working with country field sales teams, including qualification, routing, account assignment, handoff, executive sponsorship and attribution. Establish effective operating mechanisms with Product, Engineering, Field Engineering, Marketing, Capacity, Finance, Legal and other supporting groups. Implement the business review cadence, measurement framework and attribution model required to assess ecosystem and field impact. Who You Are 15+ years of experience in business development, sales, partnerships, startup go to market or venture ecosystem leadership within cloud infrastructure, enterprise technology, AI or another complex technology environment. Significant leadership experience building and operating startup, venture capital or ecosystem programmes across multiple EMEA markets. A proven record of converting ecosystem relationships into qualified opportunities, technical adoption, pipeline, consumption and commercial growth. Demonstrated experience developing senior relationships with venture capital firms, accelerators, universities, research organisations, founders, CTOs and technology executives. Experience working with country sales organisations to create demand and accelerate customer acquisition without displacing account ownership. Strong understanding of the startup lifecycle, from formation and seed funding through venture growth and scaled commercial operation. Experience identifying promising companies early and assessing their technical ambition, infrastructure needs, funding trajectory and long term potential. Strong understanding of cloud infrastructure, AI platforms, developer tooling and the requirements of AI native companies. Demonstrated ability to build structured programmes, operating mechanisms and performance measures that scale beyond personal relationships. Experience aligning Sales, Field Engineering, Product, Marketing, Finance, Legal and executive stakeholders around shared opportunities. Strong analytical and operational capability, including market segmentation, portfolio analysis, opportunity attribution and executive business reviews. Experience building, hiring, coaching and developing high-performing business development or ecosystem teams. A record of operating successfully across EMEA markets and cultures, with the ability to travel regularly. Preferred Leadership experience within the startup organisation of a major hyperscale cloud provider, AI platform company or global infrastructure technology business. Direct experience building or scaling a regional startup business measured through customer acquisition, workload adoption, consumption and revenue. Experience designing the operating model between a regional startup business development organisation and country based sales teams. Established senior relationships across the EMEA venture capital and AI startup ecosystem. Experience working with compute intensive AI companies across training, fine tuning, inference, applied AI or AI platform development. Experience creating startup programmes or technical adoption mechanisms that helped companies progress from experimentation to scaled production workloads. Experience influencing product, capacity and go to market decisions using insight from founders, investors and startups. A bachelor's degree or equivalent practical experience. We will also consider an exceptional senior venture ecosystem builder who has strong credibility with EMEA investors and founders, can identify high potential technical companies early and has translated ecosystem access into measurable commercial outcomes for a technology platform. Experience focused primarily on events, sponsorships, brand awareness or community activity will not, by itself, be sufficient. Wondering If You're a Good Fit? We believe in investing in our people and value candidates who bring different experiences, even if they do not meet every requirement. You have built a startup business or ecosystem and understand that credibility must ultimately produce customer and field outcomes. . click apply for full job details