Databricks

General Counsel

• Review and negotiate commercial customer agreements
• Provide legal support for revenue-generating activities
• Collaborate with field sales to close transactions
• Maintain and update legal agreements
• Work cross-functionally with business partners

Commercial Counsel

Account Executive

• Sell to high-growth, venture-backed companies
• Compress decision cycles by penetrating accounts fast
• Communicate account strategy to Databricks Senior Leadership regularly
• Allocate Databricks resources to break into new accounts and grow existing accounts
• Meet with C-Level Executives to understand Databricks' impact on business outcomes
• Exceed activity, pipeline, and revenue targets
• Use a creative approach to selling and creating value for customers
• Build a plan for success internally and externally

Strategic Account Executive

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• 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' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

Core Account Executive – Retail

Data Scientist

• Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors.
• Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions.
• Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables.
• Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning.
• Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company.
• Represent Databricks externally as a data science thought leader at industry conferences and publications.
• Define and evolve company-wide scientific methodologies.

Principal Data Scientist

Solutions Engineer

• partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.
• Continuously research & learn new technologies and their implementations on Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.
• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.

Senior Solutions Engineer – Digital Native Business, Strategic

• Assess your list of assigned accounts and develop a strategy to execute against it
• Build a customer base, identifying and closing new logo opportunities
• Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
• Identify land opportunities and develop the expand / consumption use cases.
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
• Build exceptional value with all engagements to guide successful negotiations to close point

Enterprise Account Executive, Geo Hunter

Executive Assistant

• Ensure the CRO is an efficient, highly productive leader in their use of time, driving greater team and company productivity.
• Operationalize the strategy of the GTM organization and drive execution across key programs.
• Serve as a trusted, professional liaison for all internal teams, senior leaders, and external partners.
• Ensure the CRO is fully prepared for all meetings, interviews, travel, and briefings.
• Proactively manage a highly complex, multi-time zone calendar, ensuring alignment with critical business priorities and anticipating conflicts.
• Manage the cadence of GTM leadership meetings, including preparing and distributing agendas, capturing detailed notes, and managing action items to ensure timely closure.
• Independently plan, coordinate, and execute all domestic and international travel, as well as complex offsites, conferences, and high-visibility events.
• Act as the primary point of contact for the CRO, relaying information across Sales, Marketing, Engineering, and other functions, and ensuring timely responses to all stakeholders.
• Handle highly confidential information—including sensitive revenue data, compensation, and personnel matters—with impeccable discretion.
• Manage expense reports, ensure meeting invites have appropriate details for effectiveness, and provide backup support for other executive staff as needed.

Senior Executive Assistant

• Ownership: Take full responsibility for your flagship accounts, defining a clear strategy and relentlessly driving it to exceed revenue and consumption goals.
• Execution: Turn strategy into action, executing with urgency and discipline to consistently overachieve targets.
• Advisory: Build boardroom‑level relationships, becoming the trusted advisor on all things data and AI for senior stakeholders up to and including the C‑level.
• Expansion: Uncover and shape new business, expanding use cases and driving deeper platform consumption across your accounts.
• Orchestration: Lead the full Databricks ecosystem, mobilizing internal cross-functional teams to maximize impact and customer value.
• Negotiation: Demonstrate compelling value in every engagement, leading confident, insight‑led negotiations from discovery to close.

Strategic Core Account Executive – Banking

• work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform
• provide data engineering, data science, and cloud technology projects
• integrating with client systems, training, and other technical tasks to help customers to get most value out of their data
• complete projects according to specification with excellent customer service
• report to the regional Manager/Lead
• design and build reference architectures
• create how-to's and productionalize customer use cases
• guide strategic customers as they implement transformational big data projects
• consult on architecture and design; bootstrap hands-on projects
• provide an escalated level of support for customer operational issues
• work with the Databricks technical team, Project Manager, Architect, and Customer team.
• work with Engineering and Databricks Customer Support to provide product and implementation feedback.

Resident Solutions Architect – Financial Services

• Selling to leading Fortune 500 CPG accounts
• Maximize market opportunity for Databricks
• Penetrating accounts and demonstrating value to customers
• Communicate account strategy to senior leadership
• Allocate resources to grow existing relationships

Core Account Executive – CPG Vertical

Business Development Rep

• Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption
• Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts
• Self-starter, eager to learn and develop on solution selling, Big Data & AI
• Problem solver, strong communicator, and ability to learn technical sales
• Be customer-centric. Provide a great customer experience for Databricks’ prospective customers
• Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling

BDR DC

• Form successful relationships with strategic enterprise clients within the Greenfield territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

Senior Solutions Architect – Greenfield, New Logo

Enterprise Account Executive – Nordics

• Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings
• Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring

Specialist Solutions Architect – Data Scientist, ML Engineer

• Collaborate with sales and field engineering teams
• Drive growth in assigned customers and use cases
• Engage with Solutions Architects to understand use case demand
• Lead post-technical win strategies and execution for strategic accounts
• Act as technical lead for Databricks products
• Provide first contact for technical issues
• Develop execution plans for customer-facing technical roles
• Report on usage and customer health