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Job Location: Bengaluru
At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. Customer Success Engineers at Databricks serve as the trusted technical advisors for our customers. They drive business value, offer advice, and grow accounts. A Customer Success Engineer must be ready to interact and have technical discussions with data scientists and engineers, then demonstrate the value of Databricks in business discussions with company executives. The goal is to help our customers to become successful and enthusiastic Databricks champions.
You will work directly with customers and leaders on their Data and AI strategy and the execution, thereof in partnership with our internal Business, Sales, Marketing, Field Engineering, Product Engineering, Product Management and wider Customer Success teams. You will assist our customers with tailor-made programs that fit their needs and ensure that we achieve our business and customer success goals. You will directly report to the regional Customer Success lead.
The impact you will have:
- You will manage the entire relationship with our customers throughout their journey (from onboarding through adoption to growth and expansion) with Databricks
- You will nurture and cultivate strategic relationships at senior and executive levels within our customers and be the contact between our customers and wider Databricks teams
- You will operate as a strategic partner who is integrated into our sales teams to support goals, strategies, plans and actions based on a mutual success plan
- You will advise our customers as a technical expert on how best to realise their Data and AI business use cases using the Databricks portfolio of products by having a regular schedule (around enablement, product features and roadmap, executive briefings, QBR’s, escalation management)
- You will partner with the technical support team to ensure that all support tickets are resolved within each customers service level agreement and manage any customer escalations
- You will focus on achieving the targets on renewal rates, customer satisfaction, expansions, upsells and new opportunities in the assigned accounts
What we look for:
- Minimum of 8 years of experience working in customer-facing technical roles (in Customer Success, Consulting or related discipline)
- Minimum of 4 years of experience at a SaaS-company and with cloud architectures
- Languages: Python, R or Scala
- Ability to develop simple Spark notebooks to analyse customer usage data
- At least 6 years of experience building customer relationships and managing executive relationships
- Bachelor’s degree in computer science, data science or similar field
- 20 – 30% travel will be required
- You will be required to work in the UK timezone for at least 50% of the time
Benefits
- Private medical insurance
- Accident coverage
- Employee’s Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
About Databricks
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
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