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## Responsibilities
- Collaborate with sales and field engineering teams to accelerate customer adoption and utilization of the Databricks platform.
- Provide technical guidance and support to customers who have already decided to implement Databricks workloads, ensuring they derive maximum value and ROI from the platform.
- Lead technical support for complex customer challenges, focusing on high-impact cases.
- Act as a hybrid role combining technical and business expertise, driving growth for customers and developing strategies with stakeholders.
- Serve as the technical leader for Databricks products post-implementation, coordinating with internal teams and stakeholders.
- Lead the technical strategy and execution plan for key accounts post-technical win, coordinating with multiple sales teams and internal stakeholders.
- Act as the primary technical point of contact for customers, ensuring smooth onboarding, activation, success, go-live, and ongoing usage.
- Collaborate with internal experts (shared services, user education, onboarding, technical services, support) to delegate tasks beyond one's expertise and escalate when necessary.
- Build a perspective for rapidly moving key use cases to production and collaborate with professional services to develop proposals.
- Collaborate with Databricks product and engineering teams to address innovation, private previews, and upgrade needs.
- Develop execution plans covering all technical activities for customer-facing teams, including key use cases, activation/user growth plans, product adoption strategies, organic needs for current investments, and executive/governance.
- Regularly report KPIs related to customer usage, risks, product adoption, and use case progress to the Technical GM.
## Requirements
- 8+ years of experience delivering technical projects/programs in data and AI domains, contributing to technical discussions and design decisions with customers.
- Programming experience in Python, SQL, or Scala.
- Experience in presales, technical architect, customer success, or consulting roles directly engaging with customers.
- Understanding of solution architecture for distributed data systems.
- Ability to connect specific project deliverables to business value and outcomes.
- Experience in technical program or project management, including account, stakeholder, and resource management.
- Experience resolving complex and critical escalations with senior executives at customer organizations.
- Experience in conducting free-form discovery workshops, creating strategic roadmaps, business analysis, and managing complex programs/projects.
- Track record of achieving goals (quotas, targets, etc).
## Nice to Have
- Additional skills or experience that may be beneficial but not required.
## Benefits
- Comprehensive benefits and perks tailored to employees' needs.
- Commitment to diversity and inclusion in hiring practices.
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