Pre-sales Engineer

• Deliver compelling technical presentations and live demonstrations of Tenable Enterprise products, focusing on the Tenable One Platform.
• Manage enterprise software trials and Proof of Concept evaluations, driving successful outcomes aligned with customer business objectives
• Answer technical questions and provide consultative guidance on security best practices, compliance frameworks, and risk management
• Apply advanced technical skills to demonstrate the value and impact of Tenable’s Exposure Management solutions in solving real-world customer challenges
• Maintain and strengthen relationships with existing customers, while identifying and cultivating new strategic opportunities
• Present thought leadership content and represent Tenable at industry events, executive briefings, and customer-facing sessions
• Leverage strategic technical selling skills to engage key stakeholders — from engineers to CISOs — and influence decision-making
• Travel as needed to support key customer engagements, sales opportunities and events.
• Collaborate cross-functionally with product management and engineering to surface customer feedback and prioritize critical cloud use cases
• Help shape future innovations by identifying gaps and contributing ideas for new product features and capabilities
• Deliver clear and actionable status reports, including key trends, upcoming events, and alignment to territory and organizational goals

Security Engineer – PreSales

• Serve as the technical bridge between our sales organization and prospective customers, combining deep Databricks expertise with strong business acumen to design compelling data and AI solutions.
• Own the technical side of the sales cycle — from discovery and architecture design to solution demonstrations and proof-of-concept (POC) delivery.
• Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture.
• Design and present scalable Databricks-based solution architectures tailored to customer environments and business goals.
• Build and deliver compelling demos, prototypes, and proofs-of-concept showcasing the capabilities of the Databricks Lakehouse Platform.
• Partner closely with Account Executives throughout the sales lifecycle to develop winning technical strategies.
• Respond to RFPs, RFIs, and security questionnaires with clear, accurate, and persuasive technical content.
• Translate complex technical concepts into business value for both technical stakeholders and executive audiences.
• Design scalable data architectures on Databricks, including Lakehouse, Delta Lake, and Unity Catalog patterns.
• Guide customers on best practices for data pipelines, data modeling, and platform governance.
• Advise on integration of Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.
• Identify and mitigate technical risks early in the sales process to set delivery teams up for success.
• Demonstrate Databricks capabilities for Data Science, ML, and Generative AI use cases.
• Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.
• Stay current on Databricks platform releases, including Mosaic AI, MLflow, and Feature Store.
• Serve as a resident Databricks expert within BIG — sharing knowledge and enabling the broader team.
• Contribute reusable demo assets, accelerators, and technical playbooks.
• Represent BIG at customer events, webinars, and Databricks partner activities.
• Provide field feedback to Databricks product and partner teams to influence the roadmap.
• Willingness to travel approximately 40% for customer meetings and partner collaboration.

PreSales Engineer

• Serve as the technical bridge between sales organization and prospective customers
• Lead technical discovery workshops to understand customer business objectives
• Design and present scalable Databricks-based solution architectures
• Build and deliver compelling demos, prototypes, and proofs-of-concept
• Partner closely with Account Executives throughout the sales lifecycle
• Respond to RFPs, RFIs, and security questionnaires with clear, accurate content
• Translate complex technical concepts into business value for stakeholders
• Guide customers on best practices for data pipelines and modeling
• Advise on integration of Databricks with hyperscaler environments
• Identify and mitigate technical risks early in the sales process
• Demonstrate Databricks capabilities for Data Science, ML, and Generative AI use cases
• Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets
• Stay current on Databricks platform releases

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Security Engineer – PreSales

PreSales Engineer

PreSales Engineer, Databricks