Senior Customer Success Manager at DataCamp

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, Technology, Data and AIIndustries

Requirements

5+ years of industry experience in relevant fields and domains (e.g. consulting, customer success, pre sales, account management, support), with a commitment to building a long-term career in the go-to-market space
At least 2-3 years in the consulting or customer success domains
Experience and proficiency in big data and advanced analytics technology, topics, trends, and an appreciation for the current landscape

Responsibilities

Manage the customer lifecycle from onboarding to renewal for DataCamp’s most strategic, top-tier B2B clients
Build proactive success plans and goals with and for the customer to help them meet and exceed data & AI transformation and upskilling goals
Collaborate closely with counterparts in sales (AEs, Learning Solution Architects, Partnership program, services) to maintain and grow product adoption and relationships
Strategize on and help launch learning initiatives (eg competitions, custom tracks or content, learning leaderboard sprints, value capture sessions) to promote access and outcomes for thousands of learners
Capture and promote business value created from DataCamp use
Work with product and marketing to ensure the voice of our customer is being heard and considered for our product and content roadmap
Elevate conversations both up and across the client org to evangelise DataCamp and drive meaningful adoption that grows business outcomes for a client
Demonstrate deep understanding of the subject matter and the value of DataCamp's various products and use this to ensure renewal, upsell, and cross-sell

Skills

Customer Success

Account Management

Data Skills

AI Knowledge

Retention

Expansion

Sales

Learning and Development

Enterprise Sales

Client Coaching

Data Transformation

DataCamp

Online platform for data science education

About DataCamp

DataCamp is an online learning platform focused on teaching data science skills to individuals and businesses. It offers a variety of courses and learning paths that cover topics such as data analysis, machine learning, and statistics, using popular tools like R, Python, and SQL. Users can learn at their own pace through video tutorials and coding challenges, which are accessible from any web browser. For businesses, DataCamp provides customized plans to help employees improve their data skills, addressing the increasing need for data literacy in the workforce. The platform operates on a subscription model, allowing users to start learning for free but requiring a paid subscription for full access to all courses and features. DataCamp stands out from competitors by specifically targeting the data science niche and offering a comprehensive suite of resources tailored to both individual learners and organizations.

New York City, New YorkHeadquarters

2013Year Founded

$30.3MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, EducationIndustries

1,001-5,000Employees

Benefits

Competitive salary

Stock options

Generous healthcare benefits

Fully paid parental leave

Personal development budget

Personal office equipment budget

International company trips and trainings

Free lunch and healthy snacks

Risks

Competition from AI models like Mistral's Codestral Mamba may divert potential users.

Partnership with Alteryx could lead to conflicts of interest or dependencies.

DISH Network lawsuit poses financial and reputational risks for DataCamp.

Differentiation

DataCamp offers interactive, expert-led courses in data science and AI.

The platform provides tailored business solutions for scalable employee training.

DataCamp's partnerships enhance its course offerings and social impact.

Upsides

Growing demand for data literacy boosts DataCamp's business and individual user base.

Partnerships with Alteryx and Women in Data expand DataCamp's reach and influence.

New AI models present opportunities for specialized course development.

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