Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная руководящая роль в растущей сфере AI-инфраструктуры, но зарплата не указана, а масштаб преобразований может создать серьезную нагрузку.
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Зарплата не указанаМасштабные переменыПонятный масштаб ролиAI-инфраструктура
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Area Vice President, Sales Engineering (AI Data Storage): Building and transforming DDN’s EMEA Sales Engineering organization across enterprise, higher education, federal, HPC, and regulated-industry customers with an accent on technical execution, talent development, and operational rigor. Focus on designing KPI frameworks, scaling organizational models, influencing product strategy, and guiding complex AI data storage and high-performance infrastructure engagements.
Location: London Office, hybrid
Company
hirify.global is a global provider of AI data storage and high-performance infrastructure solutions.
What you will do
Own the vision, strategy, and execution of Sales Engineering across the EMEA region.
Lead organizational and cultural transformation, establishing scalable operating models, playbooks, and processes.
Recruit, retain, coach, and develop Sales Engineering leaders and teams across multiple sub-regions and market segments.
Design KPI frameworks, dashboards, operating cadences, and continuous-improvement initiatives.
Partner with Sales, Product, Engineering, Marketing, Professional Services, and Support on strategy, pipeline, roadmap, and customer execution.
Oversee technical discovery, proofs of concept, architecture reviews, RFP responses, executive presentations, and strategic customer engagements.
Requirements
15+ years of experience in Sales Engineering, Solutions Architecture, or Systems Engineering.
At least 7 years of senior people leadership experience managing managers.
Experience leading and transforming distributed, multi-layered technical organizations at regional or global scale.
Demonstrated success with KPI frameworks, operational metrics, talent development, and organizational transformation.
Strong executive communication and cross-functional leadership skills.
Deep experience in enterprise storage, data infrastructure, AI/ML infrastructure, HPC, or distributed systems.
Nice to have
VP-level experience leading Sales Engineering organizations at technology companies with $200M+ revenue.
Experience with NeoCloud, AI training infrastructure, HPC, financial services, life sciences, or federal markets.
Knowledge of GPU clusters, parallel file systems, object storage, and MLOps pipelines.
Experience building Sales Engineering Centers of Excellence and scaling teams in high-growth environments.
Bachelor’s degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
Culture & Benefits
Opportunity to shape technical go-to-market strategy in AI data storage.
Executive support for investing in people, culture, and organizational development.
Collaboration with Sales, Product, and Engineering leadership on technically demanding customer engagements.
Competitive compensation package including base salary, variable incentive, equity, and comprehensive benefits.
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