Role: Head of Customer Success

Reports to: EVP, Revenue

Department: Customer Success

Location: Remote, US

Job Type: Full Time, Exempt

Be at the center of AI!

With more than 40 million users, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

 
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking a talented Head of Customer Success to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence and machine learning.

What You’ll Do:

• Promote customer adoption and upselling in the realm of customer success
• Ensure customers fully comprehend and derive value from our product, Anaconda
• Facilitate expansion of product usage among customers
• Engage in contract extensions with customers
• Strive to retain all existing customers, with a goal of achieving a >110% Net Revenue Retention from established accounts.

What You Need:

• A minimum of 5 years of experience in departmental leadership
• Demonstrated experience in establishing and guiding teams from inception
• Proficiency in providing support for Software-as-a-Service (SaaS) within both Business-to-Business (B2B) and Business-to-Consumer (B2C) environments.
• Team attitude: “I am not done, until WE are done”
• Embody our core values:
• Great People
• Great Product
• Great Performance
• Care deeply about fostering an environment where people of all backgrounds and experiences can flourish 

What Will Make You Stand Out:

• Experience with Product Led Growth
• Experience working in a fast-paced startup environment
• Experience working in an open-source or data science-oriented company

Why You’ll Like Working Here:

• Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth
• Dynamic company that rewards high performers
• On the cutting edge of enterprise application of data science, machine learning and AI
• Collaborative team environment that values multiple perspectives and clear thinking
• Employees-first culture
• Flexible working hours
• Medical*, Dental*, Vision*, HSA*, Life* and 401K*
• Paid parental leave - both parents
• Monthly productivity stipend 
• Pre-IPO stock options
• Open vacation policy* 
• Quarterly Snake days (company-wide bonus day off)
• 100% remote 

*FTE employees based on your region 

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Sydney Artt.

This job post expires 30 days from its original post date