Technical Account Manager

il y a 2 semaines


Paris, France Dataiku Temps plein

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. 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 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 roleNative French speaker or bilingualComfort 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 tuningHow you'll stand out Experience with PythonSome knowledge of Java, nice to haveSome knowledge in ML OpsWhat does the hiring process look like? #LI-Hybrid #LI-AN1Initial call with a member of our Technical Recruiting teamVideo call with the TAM Hiring ManagerTechnical Assessment to show your skills (Home Test)Debrief of your Tech Assessment with TAM Team membersFinal Interview with the VP Field EngineeringWhat are you waiting forAt 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



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