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Technical Account Manager - Japan
Отличная позиция в компании-лидере рынка AI с четко прописанными обязанностями и структурированным процессом найма. Роль предлагает высокую степень ответственности и работу с передовыми технологиями.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокие технические знания (Kubernetes, Linux, Cloud) с навыками стратегического управления аккаунтами и свободным владением двумя языками. Процесс отбора включает домашнее техническое задание и несколько этапов интервью с руководством.
Анализ зарплаты
Указанная роль TAM в сфере AI/SaaS для японского рынка обычно оплачивается выше среднего. Наш прогноз базируется на высоких требованиях к опыту (7+ лет) и необходимости двуязычия, что создает дефицит квалифицированных кадров в Токио.
Сопроводительное письмо
I am writing to express my strong interest in the Technical Account Manager position in Japan. With over 7 years of experience in customer-facing technical roles and a deep background in Linux system administration and cloud infrastructure (AWS/Azure), I am confident in my ability to serve as a strategic technical advisor for Dataiku’s high-profile clients. My expertise in Kubernetes and identity management tools aligns perfectly with the technical requirements of this role.
Throughout my career, I have successfully bridged the gap between complex technical architectures and business value, engaging effectively with both CTOs and system administrators. Having worked extensively with MLOps and data science ecosystems, I understand the challenges enterprises face when operationalizing AI. I am particularly drawn to Dataiku’s mission of providing a centralized governance layer for the full AI stack and am eager to leverage my bilingual proficiency in Japanese and English to drive success for your strategic accounts in the region.
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Описание вакансии
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
How you'll make an impact
- Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
- Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
- Dataiku platform architecture and deployment
- Platform operations and upgrades
- Best practices for platform usage
- Security, data management, and compute resources
- ML-Ops, monitoring, and scaling strategies
- Assist clients in integrating the product into their systems and troubleshoot technical challenges
- Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
- Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
- Capture client feedback and feature requests to inform the Product and Engineering teams
- Advise client tech leaders on complementary technologies and long-term technical strategy.
- Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps
- Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
What you'll need to be successful
- 7+ years of experience in a customer-facing technical role
- Native or bilingual proficiency in Japanese
- Fluent English communication
- Strong communication and client relationship skills
- Experience supporting both pre- and post-sales engagements
- Proficiency in Linux system administration, including networking
- Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
- Familiarity with the Hadoop and/or Spark ecosystems
How you'll stand out
- Experience with Python
- Data-Science knowledge
- Basic knowledge of Java
- Familiarity with ML-Ops practices and tools
What does the hiring process look like? #LI-Hybrid #LI-AN1
- Initial call with a member of our Technical Recruiting team
- Video call with the TAM Hiring Manager
- Technical Assessment to show your skills (Home Test)
- Debrief of your Tech Assessment with TAM Team members
- Final Interview with the VP Field Engineering
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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Навыки
- AWS
- Azure
- Python
- Linux
- GCP
- Kubernetes
- MLOps
- IAM
- Hadoop
- Java
- Spark
- Active Directory
- LDAP
- Kerberos
Возможные вопросы на собеседовании
TAM должен уметь объяснять сложные концепции разным аудиториям.
Как бы вы объяснили ценность архитектуры Dataiku техническому директору (CTO) и системному администратору клиента?
Роль требует глубоких знаний в оркестрации контейнеров.
Опишите ваш опыт траблшутинга и тюнинга производительности в кластерах Kubernetes. С какими наиболее сложными проблемами вы сталкивались?
TAM работает с ограниченным числом стратегических клиентов.
Как вы расставляете приоритеты, если у двух ваших стратегических клиентов одновременно возникают критические технические проблемы?
Вакансия предполагает работу с AI-платформой.
Каков ваш опыт работы с MLOps и как вы помогали клиентам масштабировать их модели машинного обучения в продакшн?
Проверка навыков управления ожиданиями.
Расскажите о случае, когда вам пришлось сообщать клиенту о невозможности реализации запрашиваемой функции. Как вы сохранили доверие?
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