Dataiku
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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
- 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 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
#LI-JR1
Ready to apply?
Apply to Dataiku
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
#LI-AH1
#LI-JR1
Ready to apply?
Apply to Dataiku
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.
Why Engineering at Dataiku?
Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
What to know about the Field Engineering team
As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.
How you’ll make an impact
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.
Some expected outcomes for this role:
- Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
- Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
- Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
- Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
- Drive technical success by being a trusted advisor to our customers and our internal account teams
What you need to be successful:
- Professional experience with at least one cloud based services (AWS, GCP or Azure)
- Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
- Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
- Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
- Some experience with Python
- Grit when faced with technical issues
- Comfort and confidence in client-facing interactions
- Ability to work both pre and post sale
What will make you stand out:
- Some knowledge in Data Science and/or machine learning
- Linux system administration experience
- Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning
- Experience with authentication and authorization systems like(A)AD, IAM, and LDAP
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 Field Engineer Hiring Manager
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with Field Engineer Team members
Final Interview with the Sr Director Field Engineering
Ready to apply?
Apply to Dataiku