Why Engineering at Dataiku?Dataiku's on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and 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. 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 (~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 impactWork with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement planManage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risksCentralize the technical information about clients and take part to the account strategy and with the other members of the account teamPlay an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskillingWork 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&DAdvise client tech leaders on choices around new companion technologies and tech strategies around DataikuSupport innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for example)What you'll need to be successful7+ years of experience in a customer facing technical roleComfort and confidence in client-facing interactionsAbility to work both pre and post saleStrong Linux system administration experience including networkingExperience with authentication and authorization systems like LDAP, Kerberos, AD, and IAMHands-on experience with cloud based services like AWS, Azure and GCPHands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuningExperience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuningWhat will make you stand outExperience with PythonSome knowledge of Java, nice to haveSome knowledge in ML OpsWhat does the hiring process look like?#LI-RemoteInitial call with a member of our Technical Recruiting teamVideo call with the the USA TAM DirectorTechnical Assessment to show your skills (Home Test)Debrief of your Tech Assessment with TAM Team membersFinal Interview with the Global VP of Field Engineering#LI-Remote
