Technical Account Manager - Riyadh Saudi Arabia

OverviewDataiku 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.How you'll make an impactCollaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement planManage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risksServe as a central point for client technical information and contribute to the account strategy alongside the broader account teamSupport the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharingAct as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:Dataiku platform architecture and deploymentPlatform operations and upgradesBest practices for platform usageSecurity, data management, and compute resourcesML-Ops, monitoring, and scaling strategiesAssist clients in integrating the product into their systems and troubleshoot technical challengesCapture client feedback and feature requests to inform the Product and Engineering teamsAdvise 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 MLOpsWhat you'll need to be successful7+ years of experience in a customer-facing technical roleStrong communication and client relationship skillsExperience supporting both pre- and post-sales engagementsProficiency in Linux system administration, including networkingExperience 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 tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow you'll stand outExperience with PythonData-Science knowledgeBasic knowledge of JavaFamiliarity with ML-Ops practices and toolsWhat does the hiring process look like?Initial call with a member of our Technical Recruiting teamVideo call with the TAM DirectorTechnical Assessment to show your skills (Home Test)Debrief of your Tech Assessment with TAM Team membersCustomer facing scenario Assessment with TAM Team membersFinal Interview with the VP Field EngineeringAbout Dataiku and equal opportunityOur 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. If you need assistance or an accommodation, please contact reasonable-accommodations@dataiku.comProtect yourself from fraudulent recruitment activityDataiku 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.#J-18808-Ljbffr