Technical Account Manager

Dataiku; Dubai; Hybrid; AED 120,000 - 200,000; Full time

Job summary

A leading AI technology company in Dubai seeks a Technical Account Manager to support strategic clients with their AI initiatives. This role involves managing client relationships, providing technical guidance on Dataiku's platform, and collaborating with internal teams to ensure project success. Candidates should have at least 7 years of experience in a customer-facing technical role, strong communication skills, and proficiency in Linux as well as cloud platforms. The position offers a hybrid work model and opportunities for growth.

Qualifications

• 7 years of experience in a customer-facing technical role.
• Strong communication and client relationship skills.
• Experience with cloud platforms and Linux system administration.

Responsibilities

• Collaborate with clients to identify priorities and develop engagement plans.
• Manage project milestones and provide regular status updates.
• Serve as a primary technical advisor for client teams.

Skills

Customer-facing technical role

Strong communication skills

Linux system administration

Cloud platforms (AWS, Azure, GCP)

Kubernetes ecosystem

Identity and access management tools

Tools

Kubernetes

Hadoop

Spark

Job description

Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge.

Technical Account Managers are highly experienced Architects who are comfortable with a very client-facing role and who dedicate themselves to a small set of strategic clients (4 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 youll 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
• 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
• Support the growth and effectiveness of the Field Engineering team through documentation process improvements and knowledge sharing
• 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
• 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

What youll need to be successful

• 7 years of experience in a customer-facing technical role
• 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 youll 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 Director
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Customer facing scenario Assessment with TAM Team members
• Final Interview with the VP Field Engineering

What are you waiting for!

At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd 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 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:

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Required Experience:

Manager