About this role.
Dataiku is seeking a senior Technical Account Manager to serve as the primary technical advisor for a small portfolio of strategic enterprise customers. The role combines customer success, technical account strategy, platform architecture, deployment support, troubleshooting, and executive-level communication. The successful candidate will guide customers on Dataiku operations, security, cloud infrastructure, Kubernetes, Hadoop/Spark, MLOps, and companion technologies. This is a hands-on, client-facing position requiring both deep infrastructure expertise and the ability to manage risks, milestones, and stakeholder expectations. The role also contributes to Field Engineering documentation, process improvement, and peer enablement.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
5/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would first establish business impact, affected workflows, timing, and severity with the customer. I would gather platform telemetry, infrastructure metrics, job logs, and recent configuration or workload changes, then isolate likely bottlenecks across compute, storage, networking, Kubernetes, and Spark where applicable. I would communicate a clear incident plan, provide regular status updates, implement mitigation steps, and document the root cause and preventative actions after resolution.
I would begin with the customer's identity, network, data-governance, and regulatory requirements. I would validate authentication and authorization integration such as LDAP, Active Directory, Kerberos, or IAM; review least-privilege access, secrets management, encryption, audit logging, network segmentation, and connectivity to data platforms. I would then document architecture decisions, operational ownership, upgrade procedures, and controls needed to sustain the environment.
I separate the technical workstream from the executive communication cadence while keeping both tightly connected. For technical teams, I provide detailed hypotheses, diagnostic actions, owners, and timelines; for leaders, I summarize business impact, risk, decisions needed, and progress in clear non-technical language. This approach demonstrates control of the issue without overwhelming stakeholders with unnecessary implementation detail.
I would assess cluster capacity, node health, pod events, resource requests and limits, autoscaling behavior, persistent storage, networking, ingress, and application logs. I would also check for recent image, configuration, policy, or deployment changes and confirm that observability data supports the suspected failure mode. After stabilizing the service, I would recommend durable improvements such as right-sizing, health probes, alerting, capacity planning, or deployment safeguards.
I would align on the customer's business objectives, target use cases, technical maturity, stakeholders, success measures, and implementation constraints. From there, I would define phased milestones covering architecture validation, deployment, enablement, adoption, operational readiness, and expansion opportunities, with clear owners and risk tracking. I would review the plan regularly with the CSM and customer, adjusting priorities as outcomes and technical conditions evolve.
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 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 you’ll make an impact
Work with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement plan
Manage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks
Centralize the technical information about clients and take part to the account strategy and with the other members of the account team
Play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling
Work with Customer resources as a primary technical advisor, providing guidance and hands-on support on the following matters: Dataiku platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to Dataiku usage, security, data management, compute resources, ML-Ops, Monitoring, etc.
Help clients troubleshoot the implementation of the product within their systems.
Ensure that feature requests are effectively recorded and communicated to product and R&D
Advise client tech leaders on choices around new companion technologies and tech strategies around Dataiku
Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)
What you’ll need to be successful
7+ years of experience in a customer facing technical role
Comfort and confidence in client-facing interactions
Ability to work both pre and post sale
Strong Linux system administration experience including networking
Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
Hands-on experience with cloud based services like AWS, Azure and GCP
Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
How you’ll stand out
Experience with Python
Some knowledge of Java, nice to have
Some knowledge in ML Ops
What does the hiring process look like? #LI-Remote #LI-AN1
Initial call with a member of our Technical Recruiting team
Video call with the the USA TAM Director
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with TAM Team members
Final Interview with the Global VP of Field Engineering
Compensation and Benefits
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku’s incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
US only national base pay ranges
$150,000—$200,000 USD
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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