Join Dataiku as a Technical Account Manager to support strategic clients in operationalizing AI with a focus on technical guidance and relationship management.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 5 days ago
AI in the day-to-day
Dataiku connects the full enterprise AI stack, empowering organizations to run AI across multi-vendor environments with centralized governance.
Requirements
- Experience
- 7+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Technical Account Manager at Dataiku, the individual will engage with a select group of strategic clients, managing technical relationships and ensuring successful implementation of the Dataiku platform. Key skills include proficiency in Linux, cloud platforms, and Kubernetes, alongside strong communication abilities to navigate both technical and client-facing scenarios. This position is ideal for seasoned professionals with over seven years of experience in customer-facing technical roles, particularly those who can blend technical expertise with relationship management. Dataiku emphasizes collaboration and innovation, making it a dynamic environment for those looking to imp
Joblaze insights
Quick facts
- Is the Technical Account Manager - UK role remote?
- It's hybrid — Dataiku expects some on-site time in United Kingdom, London; United Kingdom, Remote.
- How much experience is required?
- At least 7 years of relevant experience for this Technical Account Manager - UK role.
- Where is the role based?
- Dataiku is hiring for this position in United Kingdom, London; United Kingdom, Remote.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Hadoop, Java, Kubernetes.
- What seniority level is this role?
- Dataiku targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Technical Account Manager - UK role at Dataiku.
From the original posting
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.
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 English
- 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
- Customer-facing situational peer interview
- Final Interview with the VP Field Engineering
#LI-JR1
#L1-AH1
Standard company text repeated across Dataiku's postings is omitted here.