Job description

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.

Requirements

Must-haves

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
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 in ML Ops
What does the hiring process look like? #LI-Remote #LI-AN1
Initial call with a member of our Technical Recruiting team

Nice-to-haves

Some knowledge of Java, nice to have

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlawsazuregcpkubernetespythonjava

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave