ZipRecruiter

Log In

Databricks
Databricks

60 Databricks Customer Success Manager Jobs Hiring Near You

Databricks

Sr. Big Data Engineer

Manhattan, NY · On-site

$61.50 - $81.25/hr

You will report to the Manager, Professional Services. The impact you will have You will work on a ... Work with Engineering and Databricks Customer Support to provide product and implementation ...

previous page

Showing results 41-60

All JobsDatabricks JobsDatabricks Customer Success Manager Jobs

Databricks Jobs Information

What are the key skills and qualifications needed to thrive as a Customer Success Manager, and why are they important?

To thrive as a Customer Success Manager, you need strong relationship-building, problem-solving, and account management skills, typically backed by a bachelor's degree in business or a related field. Familiarity with CRM platforms like Salesforce, customer engagement tools, and data analytics software is commonly required. Excellent communication, empathy, and proactive thinking help you anticipate client needs and drive customer satisfaction. These skills and qualities are crucial for retaining clients, driving product adoption, and ensuring long-term business growth.

How does a Customer Success Manager typically collaborate with other departments to improve the client experience?

Customer Success Managers frequently work cross-functionally with teams such as Sales, Product, and Support to ensure clients have a seamless experience. They communicate customer feedback to the Product team for enhancements, coordinate with Sales to ensure smooth onboarding, and partner with Support to resolve technical issues quickly. This collaborative approach helps anticipate client needs and proactively address potential challenges, ensuring long-term satisfaction and retention.

What are Customer Success Managers?

Customer Success Managers (CSMs) are professionals who help customers achieve their desired outcomes while using a company's products or services. They act as the main point of contact for clients, guiding them through onboarding, addressing their concerns, and ensuring they receive ongoing value. CSMs also work closely with sales, support, and product teams to advocate for customer needs and foster long-term relationships. Their ultimate goal is to drive customer satisfaction, retention, and growth.

What is the difference between Customer Success Manager vs Account Manager?

AspectCustomer Success ManagerAccount Manager
Primary FocusCustomer retention and successSales growth and account expansion
Work EnvironmentProactively supports customers post-saleManages ongoing client relationships and renewals
Required SkillsCustomer service, communication, problem-solvingSales, negotiation, relationship management
Industry UsageTech, SaaS, software companiesConsulting, marketing, sales sectors

While both roles involve client interaction, Customer Success Managers focus on ensuring customer satisfaction and retention after the sale, whereas Account Managers primarily aim to grow existing accounts through upselling and renewals. Understanding these differences helps organizations assign the right responsibilities and professionals to each role.

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What other companies are hiring for Customer Success Manager jobs?
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Customer Success Manager job openings at Databricks in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Resident Solutions Architect - Communications, Media, Entertainment & Games

Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks

Chicago, IL

$65 - $85.50/hr

Other

Posted 16 days ago

Job description

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of  professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps 
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Apply