Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко определенная руководящая роль в продуктовой компании с заметной ответственностью за глобальную команду и внедрения для крупных клиентов; обязательная работа в офисе снижает гибкость.
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Только офисГлобальная зона ответственностиСфера ИИ и данных
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Global Practice and Delivery (Solutions & Services) (Data & AI Observability): Building and scaling a global services organization for enterprise implementations, technical consulting, SaaS deployments, and platform migrations with an accent on delivery strategy, customer value, and operational performance. Focus on leading Solutions Consultants and Forward-Deployed Engineers, managing complex data-platform engagements, and developing scalable practices across hybrid-cloud, multi-cloud, and on-premises environments.
Location: Kitchener or Toronto, Canada
Company
hirify.global provides data management and observability solutions for mission-critical enterprise data platforms.
What you will do
Build, lead, hire, coach, and develop a global team of Solutions Consultants and Forward-Deployed Engineers.
Lead the North American services organization and define global delivery practices for enterprise implementations, technical consulting, SaaS deployments, and platform migrations.
Define and execute the professional services strategy, strengthen delivery capabilities, identify growth opportunities, and build scalable operating models.
Own services revenue, gross margin, resource utilization, delivery predictability, customer time-to-value, customer satisfaction, team capability development, and operational scalability.
Oversee multiple enterprise engagements, including delivery planning, risk management, stakeholder alignment, resource allocation, financial accountability, and measurable business outcomes.
Requirements
At least 10 years of experience in professional services, software engineering, forward-deployed engineering, or technical consulting, including 5+ years leading customer-facing engineering or delivery teams in a high-growth company.
Experience running several complex enterprise implementations simultaneously, including planning, resource allocation, risk management, and financial accountability.
Strong understanding of data engineering, distributed systems, cloud platforms, and Kubernetes-based environments.
Deep expertise in data management, data platforms, or data infrastructure, including the ability to discuss data observability, data quality, Spark/Kafka processing, Kubernetes architectures, and cloud data engineering.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to have
Experience using AI and automation to improve services delivery.
Experience delivering solutions across hybrid-cloud, multi-cloud, and on-premises enterprise environments.
Culture & Benefits
On-site work in Kitchener or Toronto, Canada.
Opportunity to shape a global services and Forward-Deployed Engineering organization supporting Data and AI Observability and Infrastructure Observability.
Work focused on helping customers deploy, adopt, and realize measurable value from mission-critical data platforms.
AI tools may support parts of the hiring process, while final hiring decisions are made by humans.
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