• Engage with Solutions Architects to understand use case demand for prioritized customers • Lead post-technical win technical account strategy and execution for key accounts • Be accountable technical leader for customer use cases across teams • Serve as first contact for technical issues related to production/go-live • Leverage shared services, user education, and support for customer success • Create and execute plans to accelerate key use cases into production • Navigate Product and Engineering teams for innovations and support

• Engage with Solutions Architects to understand full use case demand plan for prioritized customers • Lead the post-technical win technical account strategy and execution plan for Databricks use cases within strategic accounts • Be accountable technical leader assigned to specific use cases and customers across multiple selling teams • Be first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level when needed • Create, own, and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services on delivery of proposals • Navigate Databricks Product and Engineering teams for innovations, private previews and upgrade needs • Develop an execution plan covering all activities of customer-facing technical roles and teams for various work streams • Provide internal and external updates, KPI reporting on usage status and customer health.

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

• Collaborate with customers to understand their specific requirements and desired outcomes • Gather information such as the motion of mobile terminals, ephemerides of satellites, antenna radiation patterns, RF channels and bandwidths, C/N+I thresholds, ground segment network topology, Layer 2 and Layer 3 protocols, ground station coordinates, SLAs, and more • Translate customer-provided information into the appropriate fields within Spacetime's open APIs (based on gRPC and protocol buffers) writing code to automate the steps in any of Golang, Java, C++, or Python. • Perform the necessary configuration work within Spacetime to initialize the customer's instance, if required • Work closely with the engineering and customer success teams to address any technical challenges or requirements during the onboarding process • Provide technical support and guidance to customers during the evaluation phase, ensuring a smooth transition into using Spacetime • Document and communicate customer-specific configurations and requirements to internal teams