Dataiku

Regional Vice President Sales Engineering - Germany

Germany

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Enterprise Software, BiotechnologyIndustries

Requirements

Candidates must have 8+ years of experience in sales engineering for enterprise software products, with a preference for big data technology experience. A minimum of 4 years of related Sales Engineering management experience is preferred. Experience with complex, large-scale enterprise analytics deployments is essential, along with familiarity with Python and/or R. Knowledge of data storage and computing infrastructure for various data sizes (SQL, NoSQL, Hadoop, Spark, on-premise, and cloud), machine learning libraries and techniques, and visualization and dashboarding solutions is required. Excellent communication and public speaking skills are also necessary.

Responsibilities

The Regional Vice President of Sales Engineering will lead a team of Sales Engineers to ensure technical success throughout the sales process. This role involves acting as the main technical point of contact for the regional VP of sales to strategize on opportunities, provide pipeline visibility, and train/coach the sales team on technical topics. Responsibilities include mentoring and coaching team members during onboarding and ongoing development, brainstorming strategies for opportunities, and providing constructive feedback. The role also requires interacting with customers and prospects to understand business challenges and engage in evaluation processes. Building strong relationships with cross-functional teams for alignment between pre- and post-sales activities, and collaborating with product management, R&D, and other organizations to ensure alignment, provide feedback, and resolve customer situations are also key duties.

Skills

Sales Engineering
Enterprise Software
AI Platform
Customer Engagements
Team Leadership
Mentoring
Coaching
Technical Strategy
Product Feedback

Dataiku

AI solutions for operationalizing business processes

About Dataiku

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health, life & pension benefits
Equity
Time off for R&R
Public holidays
Work from anywhere policy (unique to team)
12 weeks of paid parental leave
Volunteering opportunities
Career Development opportunities
Technology stipend
Onsite meals & healthy snacks
Office happy hours
Company-wide events

Risks

Competition from AI platforms like Databricks may impact Dataiku's market share.
High costs of generative AI initiatives could strain client budgets.
Reliance on partnerships poses risks if collaborations face challenges.

Differentiation

Dataiku offers a centralized platform for enterprise AI and data analytics.
The company integrates with AWS, enhancing connectivity and scalability for clients.
Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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