Databricks

👥 1001-5000💰 $684,559,082 Series I over 1 year agoArtificial Intelligence (AI)Machine LearningAnalyticsInformation Technology💼 Private Company
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Databricks is a technology company that provides a software platform for unifying analytics across data science, data engineering, and business functions. They offer a Unified Analytics Platform for collaboration and building data products.

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🏢 GitLab
👥 1001-5000💰 $268,000,000 Series E over 5 years ago🫂 Last layoff about 2 years agoDeveloper ToolsDevOpsOpen SourceSaaSCloud Security
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Jobs at this company:

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💸 161300.0 - 247300.0 USD per year

🔍 Software Development

  • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
  • Programming experience in Python, SQL or Scala
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related distributed data systems
  • Understanding of how to attribute business value and outcomes to specific project deliverables
  • Technical program, or project management including account, stakeholder and resource management accountability
  • Experience resolving complex and important escalation with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/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
  • Can travel up to 30% when needed
  • Engage with Solutions Architects to understand the full use case demand plan for prioritised 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:
  • 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
Posted 1 day ago
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💸 245300.0 - 376200.0 USD per year

🔍 Sales

  • 5+ years of field sales experience to Federal Financial accounts or the Federal Civilian space is preferred
  • Background in big data, Cloud, or SaaS sales is preferable
  • Experience with cloud technologies
  • Bachelor's degree
  • Manage complex sales-cycles and present to C-level executives.
  • Close net new logos and expand existing accounts.
  • Identify and close quick, small wins while managing longer, complex sales cycles.
  • Exceed activity, pipeline, and revenue targets.
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
  • Use a solution-based approach to selling and creating value for customers.
  • Promote Databricks; enterprise cloud data platform powered by Apache Spark.
  • Ensure 100% satisfaction among all customers.
  • Prioritize opportunities and applying appropriate resources.
  • Build a plan for success internally at Databricks and externally with your accounts.
Posted 1 day ago
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💸 161300.0 - 247300.0 USD per year

🔍 Data and AI

  • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI
  • Programming experience in Python, SQL or Scala
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Engage with Solutions Architects to understand the full use case demand plan for prioritised 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
Posted 5 days ago
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💸 273800.0 - 419800.0 USD per year

🔍 Sales

  • 7+ years of field sales experience selling to Federal System Integrators
  • Background in big data, Cloud, or SaaS sales is preferable
  • Track record of success delivering business value to customers
  • Experience with cloud technologies
  • Bachelor's degree
  • Manage complex sales-cycles and present to C-level executives.
  • Close net new logos and expand existing accounts.
  • Identify and close quick, small wins while managing longer, complex sales cycles.
  • Exceed activity, pipeline, and revenue targets.
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
  • Use a solution-based approach to selling and creating value for customers.
  • Promote Databricks; enterprise cloud data platform powered by Apache Spark.
  • Ensure 100% satisfaction among all customers.
  • Prioritize opportunities and applying appropriate resources.
  • Build a plan for success internally at Databricks and externally with your accounts.
Posted 12 days ago
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📍 India

🔍 Software Development

  • 2 years of experience in the field of data engineering, data science, or AI/ML
  • Able to learn new technologies quickly
  • Strong analytical skills and data-driven decision making
  • Experience with programming in SQL and Python/Pyspark
  • Experience working in notebooks (Jupyter, Databricks, etc.)
  • Experience with ELT/ETL, data analytics, and dashboarding
  • Knowledge of software development lifecycle (Git, testing, modularization, etc.)
  • Experience with Databricks Lakehouse platform and its capabilities (notebooks, Jobs, Repos, clusters, Apache Spark, Delta Lake, etc.)
  • Assist technical curriculum developers in researching, scoping, designing, and developing hands-on, learner-centric content for data engineering/data warehousing
  • Create learning assets, including hands-on technical exercises, Databricks notebooks, videos, slide decks, and graphics
  • Collaborate with technical curriculum developers, technical trainers, and SMEs to develop training content.
  • Follow content design documents to build multi-modal training for Databricks partners and customers using the latest versions of Databricks, Apache Spark, Delta Lake, SQL, and Python
  • Provide support for day-to-day curriculum operations, including the management and maintenance of training materials and customer-facing technical support for training-related issues

PythonSQLETLGitData engineeringSparkData visualizationData modelingData analyticsData management

Posted 14 days ago
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🔥 Learning Architect
Posted 21 days ago

💸 123000.0 - 235900.0 USD per year

🔍 Software Development

  • Strong knowledge of data & AI platforms, cloud data platforms, and cloud data warehouses, especially Databricks, its product offerings and capabilities, and Lakehouse.
  • Experience with curriculum design & development, enablement, or training delivery.
  • Experience designing and organizing role-based learning pathways or technical enablement programs.
  • Familiarity with SAP products such as ERP, S/4HANA, BW/4HANA, or Datasphere.
  • Familiarity with data analysis, machine learning, and AI use cases.
  • Ability to read and understand Python and SQL code.
  • Eagerness to apply analytical skills and data-driven decision making to inform strategy and execution.
  • Program management, stakeholder management and interpersonal skills.
  • Engage with product owners, subject matter experts (SMEs), customer-facing technical staff, and learner audiences to establish training requirements and define learning objectives for new courses and learning pathways.
  • Launch new offerings in collaboration with curriculum developers and other learning architects.
  • Work with a team of global stakeholders to prioritize and align training investments with business objectives.
  • Use data to develop insights about content health, quality, and consumption to help drive planning and prioritization and identify opportunities for improvement.
Posted 21 days ago
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💸 107000.0 - 205000.0 USD per year

🔍 Data/AI

  • 6+ years of relevant experience in pre-sales, sales enablement, or data/AI technical-adjacent roles.
  • Experience delivering large-scale training and enablement solutions in a Tech or Data/AI company, targeted at a pre-sales GTM audience.
  • Possess or be willing to develop proficiency in foundational Data/AI concepts, the Lakehouse Architecture, and Databricks product.
  • Partner closely with leadership and other stakeholders to discover, validate, prioritize, and scale sales enablement initiatives.
  • Develop enablement strategy through innovative programs, covering analysis, design, development, implementation, and reporting oversight.
  • Lead, facilitate, and coordinate enablement sessions, workshops, and other launches in the region for a sales and technical audience.
Posted 21 days ago
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📍 United States

💸 123000.0 - 235900.0 USD per year

🔍 Data & AI

  • 7+ years of experience in technical pre-sales, technical enablement, technical program management, or consulting with a focus on data, AI, or cloud technologies.
  • Experience building, delivering, and scaling technical enablement programs for highly skilled technical teams.
  • Proven ability to create, manage, and execute large-scale enablement programs, balancing technical rigor with structured program management.
  • Exceptional communication and presentation skills, with the ability to engage technical and executive audiences.
  • Strong stakeholder management and collaboration skills, with the ability to align multiple teams toward a common goal.
  • Design, implement, and scale enablement solutions that foster domain specialization, hands-on expertise, and technical mastery.
  • Introduce innovative multi-signal validation methods that assess expertise through real-world application and structured learning.
  • Facilitate enablement sessions, workshops, and hands-on activities that reinforce applied problem-solving and deep technical skills.
  • Develop and maintain technical content, including reference architectures, solution guides, and POC templates.
  • Measure impact and iterate on enablement programs, leveraging feedback and performance data to drive improvements.
  • Collaborate with technical field teams, enablement leaders, and stakeholders to continuously refine and scale high-impact training programs.
  • Drive adoption of enablement programs and strategies among senior leaders by proposing solutions that align with business priorities, address key challenges, and incorporate industry trends.

AWSProject ManagementPythonSQLCloud ComputingData AnalysisETLGCPMachine LearningMLFlowApache KafkaAzureData engineeringREST APICommunication SkillsCollaborationCI/CDProblem SolvingMentoringPresentation skillsTrainingData visualizationStakeholder managementStrategic thinkingData modelingCustomer Success

Posted 25 days ago
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📍 Mexico

🔍 Software Development

  • Proficiency at establishing virtual customer collaboration, and leading them to ultimate success within the account.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • Define and direct the technical strategy for our important accounts, leading to more widespread use of our products and deeper adoption of ML & AI.
  • Implement the technical strategy in the account, in close understanding of the strategy.
  • Provide structured mentorship for other team members.

AWSPythonSQLArtificial IntelligenceCloud ComputingData AnalysisMachine LearningMLFlowData scienceREST APISparkAccount ManagementData modeling

Posted 27 days ago
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💸 153800.0 - 235900.0 USD per year

🔍 Software Development

  • Strong knowledge of data & AI platforms, cloud data platforms, and cloud data warehouses, especially Databricks, its product offerings and capabilities, and Lakehouse.
  • Experience with curriculum design & development, enablement, or training delivery.
  • Experience designing and organizing role-based learning pathways or technical enablement programs.
  • Familiarity with SAP products such as ERP, S/4HANA, BW/4HANA, or Datasphere.
  • Familiarity with data analysis, machine learning, and AI use cases.
  • Ability to read and understand Python and SQL code.
  • Eagerness to apply analytical skills and data-driven decision making to inform strategy and execution.
  • Program management, stakeholder management and interpersonal skills.
  • Engage with product owners, subject matter experts (SMEs), customer-facing technical staff, and learner audiences to establish training requirements and define learning objectives for new courses and learning pathways.
  • Launch new offerings in collaboration with curriculum developers and other learning architects.
  • Work with a team of global stakeholders to prioritize and align training investments with business objectives.
  • Use data to develop insights about content health, quality, and consumption to help drive planning and prioritization and identify opportunities for improvement.
Posted 29 days ago
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