1 час назад
Technical Account Manager - UK (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Account Manager - UK (AI): Supporting strategic clients with Dataiku platform architecture, deployment, operations, integrations, and technical account planning with an accent on cloud infrastructure, Kubernetes, security, and MLOps. Focus on managing technical milestones, troubleshooting complex platform challenges, advising client technology leaders, and exploring advanced use cases such as edge computing and deep learning.
Location: United Kingdom, London; United Kingdom, Remote
Company
provides an enterprise platform for building, deploying, and governing analytics, machine learning, and AI applications across multi-vendor environments.
What you will do
- Identify customer priorities and develop engagement plans with clients and internal account teams.
- Manage project milestones, contribute to deliverables, provide status updates, and mitigate technical risks.
- Serve as the central technical information point for strategic accounts and contribute to account strategy.
- Advise clients on platform architecture, deployment, operations, upgrades, security, data management, and compute resources.
- Support integrations, troubleshoot technical challenges, and guide clients on MLOps, monitoring, scaling, edge computing, and deep learning use cases.
- Capture customer feedback and improve Field Engineering documentation, processes, and knowledge sharing.
Requirements
- 7+ years of experience in a customer-facing technical role.
- Native or bilingual English proficiency required.
- Experience with pre-sales and post-sales engagements, technical communication, and client relationship management.
- Proficiency in Linux system administration and networking.
- Experience with identity and access management tools such as LDAP, Kerberos, Active Directory, or IAM.
- Hands-on experience with AWS, Azure, or GCP and the Kubernetes ecosystem; familiarity with Hadoop or Spark.
Nice to have
- Python experience.
- Data science knowledge.
- Basic Java knowledge.
- Familiarity with MLOps practices and tools.
Culture & Benefits
- Work in an environment focused on innovation, collaboration, and personal growth.
- Contribute to the development of enterprise AI technology.
- Equal opportunity practices and accommodations for candidates who need them.
Hiring process
- Initial call with Technical Recruiting, followed by a video call with the TAM Hiring Manager.
- Home technical assessment, followed by a debrief with TAM team members.
- Customer-facing situational peer interview and final interview with the VP of Field Engineering.
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