Technical Account Manager

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍🔧 Technical Account Manager

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Dataiku

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $400M Series E on 2021-08

Consulting • Logistics • Healthcare

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

📋 Description

• Collaborate with customers and internal account teams to identify priorities and develop engagement plans • Manage project milestones with Customer Success Managers and clients • Contribute to deliverables, provide status updates, and identify and mitigate risks • Serve as the central point for client technical information and contribute to account strategy • Improve Field Engineering effectiveness through documentation, process improvements, and knowledge sharing • Act as the primary technical advisor for client teams • Advise on Dataiku platform architecture, deployment, operations, upgrades, usage, security, data management, compute resources, ML-Ops, monitoring, and scaling • Assist clients with product integration and troubleshoot technical challenges • Capture client feedback and feature requests for Product and Engineering teams • Advise technology leaders on complementary technologies and long-term technical strategy • Explore and support advanced Dataiku use cases, including edge computing, deep learning, and MLOps

🎯 Requirements

• 7+ years of experience in a customer-facing technical role • Native or bilingual proficiency in English • Strong communication and client relationship skills • Experience supporting pre- and post-sales engagements • Proficiency in Linux system administration, including networking • Experience with identity and access management tools such as LDAP, Kerberos, Active Directory, or IAM • Hands-on experience with AWS, Azure, or GCP • Hands-on experience with Kubernetes setup, administration, troubleshooting, and tuning • Familiarity with Hadoop and/or Spark ecosystems • Python experience • Data-science knowledge • Basic Java knowledge • Familiarity with ML-Ops practices and tools

🏖️ Benefits

• Personal growth opportunities • Equal opportunity employer • Reasonable accommodation support