Technical Account Manager - Germany
Germany, Berlin - RemoteFull-TimeManagerAccounts / Finance
Intro
- 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 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
- 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
- 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
- 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
What you'll need to be successful
- 7+ years of experience in a customer-facing technical role
- Native or bilingual proficiency in German
- 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
