[Remote] Senior Customer Success Manager - Switzerland at Dataiku

Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Insurance, Pharmaceuticals, Transportation, Manufacturing, TechnologyIndustries

Requirements

Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT
At least 5-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science
Strong verbal/written communication & presentation skills; extraordinary listening skills
Strong knowledge of data science project lifecycle and a proven record of supporting organizations in their AI maturity curve

Responsibilities

Actively serve a portfolio of assigned accounts including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology
Gain an understanding of client’s use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku's Product & Services
Help clients translate the business use cases they’re trying to crack into data science solutions
Partner with Dataiku Implementation Managers and Data Scientists to ensure successful deployment and engagement with Dataiku
Provide guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production
Implement customer engagement strategies including consistent Executive Business Reviews
Leverage Customer Health analytics to identify customer expansion opportunities & churn risks
Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals

Skills

Customer Success

Account Management

Dataiku

Data Science

AI Platforms

Executive Business Reviews

Customer Health Analytics

Product Adoption

Expansion Strategies

Retention

Sales Collaboration

Implementation Management

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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