Dataiku

Manager

• Manage client relationships, needs, and oversee implementation services estimation, delivery, and controls across multiple engagements.
• Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently.
• Manage Project Budget, Margin, Scope, and Schedule within initial parameters.
• Independently identify internal and external project risks and provide fit-for-purpose mitigations.
• Assess customer feedback and refine products and service offerings with internal owners and providers.
• Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads
• Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability.
• Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination.

Engagement Manager

Technical Customer Success

• Help define the role, building programs and automations for repeatable, scalable use across AMER.
• Develop and A/B test enablement programs to identify the most effective ways to drive user adoption and satisfaction at scale.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with Sales Engineers.
• Focus on onboarding and increasing user retention by educating customers on best practices within the Dataiku platform.
• Establish regular touchpoints to advise users on applying Dataiku to their specific business needs and use cases.
• Execute programs to create self-sustaining enablement and "communities of practice" within customer accounts, capture and document client use cases and stories to share the impact of their work.
• Collaborate with Account Executives and Sales Engineers to identify expansion opportunities that drive additional value.

Senior Customer Success Engineer

• Manage client relationships, needs, and oversee implementation services estimation, delivery, and controls across multiple engagements.
• Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently.
• Manage Project Budget, Margin, Scope, and Schedule within initial parameters.
• Independently identify internal and external project risks and provide fit-for-purpose mitigations.
• Assess customer feedback and refine products and service offerings with internal owners and providers.
• Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads.
• Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability.
• Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination.

Senior Engagement Manager

Solutions Engineer

• Support our strategic vision towards Healthcare & Life Sciences
• Act as a Dataiku SME on Healthcare & Life Sciences
• Support sales and customer activities on Life Sciences
• Articulate the specific value proposal for Life Sciences
• Leverage internal knowledge on Life Sciences
• Drive high impact Customer Engagements with key decision makers
• Contribute to the identification and successful roll out of Dataiku Solutions

AI Healthcare & Life Sciences Solutions Consultant

Operations

• Partner closely with the marketing team during campaign kickoffs to determine scope
• Enable the team on how to effectively operate with the campaign hierarchy and taxonomy
• Develop strategic projects to improve the way we track the efficacy of our campaigns
• Build processes to connect the dots from campaign spend all the way through to ROI
• Manage the creation process of omni-channel, integrated campaigns
• Oversee a review/approval process to ensure data integrity and governance across regions
• Work with our Salesforce team to identify, diagnose, and triage tracking issues
• Determine ways to innovate and improve campaign creation through the use of AI
• Own the reporting mechanism for our campaigns, working with our marketers to determine the “stops, starts, and continues”

Marketing Campaign Operations Manager

DevOps Engineer

• Design, deploy and maintain a cloud infrastructure to support a Dataiku SaaS offering mainly on AWS and Azure and GCP
• Continuously improve the infrastructure, deployment and configuration to deliver more reliable, resilient, scalable and secure services
• Automate as much as possible all technical operations
• Troubleshoot cloud infrastructure, systems, network, and application stacks
• Setting up monitoring, logging and tracing tools to detect and fix any potential issues
• Participate in on-call rotation

Senior Site Reliability Engineer

Account Executive

• Express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers.
• Engage prospects and customers about their related initiatives to develop a more efficient approach, leveraging Dataiku.
• Responsible for the entire sales cycle, while leveraging various company resources to reach successful collaboration with prospects.
• Work cross-functionally with Marketing, Product Management, and Engineering.

Enterprise Account Executive

Financial Planning and Analysis

• Support the preparation of monthly and quarterly cash flow forecast.
• Work closely with Treasury, Tax, collection teams on various business topics relating to Cash Flow Management.
• Proactively identify levers to manage cash and ensure our burn rate stays in line with company goals.
• Flag process improvements to simplify current workflows.
• Present findings to Senior Leadership on a monthly/quarterly basis.
• Collaborate with Accounting to review financials during the monthly close and ensure accurate results.
• Oversight of overall vendor spend within the corporate functions.
• Partner with other finance team members to understand broader business expectations.
• Enhance FP&A processes to improve accuracy, efficiency, and insight.
• Advance our capabilities through standardization, continuous improvement, and technology/AI adoption.
• Assist the Corporate FP&A Director with tasks including balance sheet forecasting, consolidated P&L analysis, and monthly CFO reporting.
• Work with the Financial Systems team to enhance our forecasting and reporting capabilities in Anaplan.