Senior Manager, Customer Success (Digital Natives)

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is helping companies unlock the potential of their data. In this role you'll lead a team of Customer Success Engineers who guide our customers to accelerate their adoption of the Databricks platform, ensuring customers receive the value anticipated.

This role, reporting to the Area VP of Customer Success will be responsible for growing the team to serve our Digital Natives segment in North America.

As a member of our Customer Success leadership team, you will advocate for your customers by driving alignment across Customer Success, Sales, Solution Engineering, Renewals and Product Management. You will also work with the broader team to identify and drive key initiatives, processes, tools and programs to scale for growth.

The impact you will have:

• Hire, coach, and mentor a team of highly technical Customer Success Engineers
• Drive value for customers by helping them achieve their business and technical outcomes
• Own a portfolio of customers and drive attainment of targets on churn prevention, retention and growth.
• Identify adoption and growth potential in your portfolio and advise your team and customers accordingly
• Conduct periodic customer health checks to Identify risk, and work with your team to create and execute "get well" plans
• Collaborate cross functionally across teams including Customer Success, Sales, Product Management and Professional Services to ensure customers' success with focus on adoption, value and retention
• Drive standardization and consistency by guiding your team to document and maintain accurate and timely customer information in Salesforce and other internal systems
• Provide continued input and ideas to scale and improve internal processes and increase operational efficiency for the customer success organization

What we look for:

• 7+ years experience working directly with customers and partners in the data science and machine learning domain, or in the data management space: big data and analytics, data integration, major cloud platforms (AWS, GCP, Azure)
• 3+ years people management experience with Customer Success, technical consulting, professional services or related customer-facing organization
• Experience hiring and developing a high performing team
• Experience managing a portfolio of customers to drive product adoption, or responsible for delivering complex customer projects
• Experience managing a highly technical team
• Proven ability to manage competing priorities in a fast-paced environment
• Travel a couple of times per quarter, or more as the business requires

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)

About Databricks

Want to help speed the development of medical breakthroughs? Make the next mode of transportation a reality? Or discover ways to reverse climate change? We're on a mission to help data teams solve the world's toughest problems. The opportunity is huge and Databricks has emerged as a leader. Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we're just getting started. Now it's your turn - join us to grow your career and make an impact with some of the brightest minds in the industry.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.