
1001 - 5000 employees
Founded 2013
š¤ Artificial Intelligence
š¢ Enterprise
āļø SaaS
š° $1.6G Series H on 2021-08
Artificial Intelligence ⢠Enterprise ⢠SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
š„ 0 minutes ago
š California, Colorado, +1 more states ā Remote
šµ $180k - $247.5k / year
ā° Full Time
š” Mid-level
š Senior
š» Solutions Engineer
š¦ H1B Visa Sponsor
š» Ghost score 2%
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1001 - 5000 employees
Founded 2013
š¤ Artificial Intelligence
š¢ Enterprise
āļø SaaS
š° $1.6G Series H on 2021-08
Artificial Intelligence ⢠Enterprise ⢠SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
⢠Collaborate with sales and field engineering teams to accelerate Databricks platform adoption and growth ⢠Increase technical accountability and guide complex customers toward greater workload usage, platform value, and return on investment ⢠Drive growth in assigned customers and use cases through stakeholder leadership, executive relationships, and orchestration of specialized Databricks teams ⢠Serve as post-sale technical lead across Databricks products ⢠Engage Solutions Architects to understand use-case demand plans ⢠Lead technical account strategy and execution for strategic accounts after the technical win ⢠Own technical leadership for use cases and customers across selling teams and internal stakeholders ⢠Drive onboarding, enablement, success, go-live, and healthy workload consumption ⢠Serve as first contact for production and go-live technical issues or questions ⢠Leverage Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources ⢠Create and execute plans to accelerate use cases into production and coordinate Professional Services proposals ⢠Navigate Product and Engineering teams for product innovations, private previews, and upgrades ⢠Develop execution plans covering production use cases, enablement, product adoption, cloud cost control, tuning and optimization, and governance ⢠Provide KPI updates to the Technical GM on usage, customer health, investment status, risks, product adoption, and use-case progression ⢠Report directly to a DSA Manager within Field Engineering
⢠5+ years of experience accountable for technical project/program delivery in Data and AI ⢠Programming experience in Python, SQL or Scala ⢠Experience in customer-facing pre-sales, technical architecture, customer success, or consulting ⢠Understanding of solution architecture related to distributed data systems ⢠Understanding of attributing business value and outcomes to project deliverables ⢠Technical program or project management experience, including account, stakeholder, and resource management accountability ⢠Experience resolving complex escalations with senior customer executives ⢠Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex programs/projects ⢠Track record of overachievement against quota, goals, or similar objective targets ⢠Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience ⢠Ability to travel up to 30% when needed
⢠Annual performance bonus eligibility ⢠Equity eligibility ⢠Comprehensive benefits and perks (specific regional details provided via employer link)
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