Pre-sales Engineer

• Partner with sales teams to shape and advance data and AI opportunities
• Lead discovery sessions to identify business challenges, data needs, and AI use cases
• Design and present end-to-end solutions using Microsoft Fabric
• Translate technical concepts into clear business value and ROI narratives
• Support proposals, RFPs, and solution scoping
• Guide clients through data modernization and migration strategies
• Define best practices across data modeling, pipelines, and analytics
• Identify and shape AI use cases tied to business outcomes
• Connect data platform capabilities to AI enablement
• Lead client discussions, whiteboarding sessions, and solution presentations
• Build relationships with business and technology stakeholders
• Contribute to AI strategy and roadmap development

Data Analytics & AI Pre-Sales Engineer

• Develop and maintain deep expertise in the JLL/BE product suite, platform and future roadmap
• Analyze a prospect's existing technology ecosystem and business workflows, positioning the optimal solution
• Articulate and demonstrate the unique value proposition of our SaaS solutions to diverse audiences, from technical staff to C-level executives
• Design, build, and deliver compelling standard and customized product demonstrations that address specific prospect pain points and business objectives
• Partner with Account Executives throughout the sales cycle, leading technical discovery, solution validation, and providing product expertise to support sales efforts
• Act as a liaison between the field and Product Management by capturing customer feedback, qualifying enhancement requests, and identifying product gaps to influence the roadmap
• Participate in relevant agile product development meetings to stay aligned with engineering and product teams

Senior Pre-Sales Consultant

• Leading technical discussions to assess customer requirements and designing scalable HID solutions
• Supporting the full sales cycle including qualification, positioning, demonstrations, and solution validation
• Delivering product demonstrations, technical workshops, and proof-of-concept engagements
• Analyzing customer environments and architecting end-to-end identity and access solutions
• Providing technical input and scoping validation for proposals, Statements of Work (SOW), and Proof of Concepts (PoC), including assumptions, dependencies, and technical success criteria
• Ensuring solutions comply with HID security standards and best practices, identifying technical risk that requires additional discovery, validation, or design adjustment
• Collaborating with Sales, Product Management, Engineering, and Support teams to deliver customer success
• Delivering technical training and enablement to sales teams, partners, integrators, and end-users as required
• Identifying and escalating engineering design opportunities and recurring customer requirements through established Product Management or Engineering channels
• Acting as a trusted technical advisor to customers and internal stakeholders, balancing responsiveness with solution quality and long-term customer success.

Pre-Sales Engineer

• The Pre-Sales Engineer serves as the technical expert and primary technical resource for the sales team.
• Driving the technology evaluation stage of the sales process.
• Explain the value and positioning of AssetWorks' solutions to technical and business audiences.
• Ensure customer satisfaction at every sales cycle stage by identifying and addressing technical requirements and building lasting relationships.
• Develop a deep understanding of the AssetWorks product suite and effectively communicate its benefits to stakeholders at all levels.
• Conduct thorough needs assessments and requirement analyses for new and existing customers.
• Design, deliver, and present tailored product demonstrations that address customer challenges and highlight AssetWorks' value proposition.
• Manage and prioritize sales opportunities, ensuring alignment with account executives and sales strategies.
• Build trust and foster strong relationships with prospects and customers.
• Collaborate with sales, marketing, product, and support teams to relay customer feedback, prioritize feature requests, and contribute to the product roadmap.
• Maintain detailed account and opportunity information in HubSpot to track progress, prioritize activities, and drive sales pipeline success.
• Participate in marketing activities, user community events, and industry conferences as a product expert and brand ambassador.

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