[Remote] Manager, Customer Success - Germany at Dataiku

Germany

Dataiku Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, SaaS, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

Customer Success ManagementTeam LeadershipCoachingData AnalysisForecastingRetention StrategiesExpansion StrategiesAI PlatformSales Alignment

Questions & Answers

Common questions about this position

What experience is required to be successful in this role?

You need passion for hiring, developing, and managing a team of individual contributors, a proven track record with fast-growing teams using data-driven decisions, a desire for collaboration across teams, a Bachelor's degree with 1-2 years of management or team lead experience preferably in customer success or account management, and strong knowledge of data science project lifecycle.

What is the work arrangement or location policy for this position?

The role is hybrid.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Dataiku?

Dataiku fosters a culture of achievement, feedback, continuous improvement, integrity, collaboration, innovation, and personal growth, with practices rooted in treating everyone with dignity, decency, and fairness while valuing diversity.

What makes a strong candidate for this Manager, Customer Success role?

A strong candidate has experience managing teams in customer success, uses data to drive decisions, excels in cross-team collaboration, and possesses knowledge of data science and AI maturity, prioritizing team success and development.

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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