• Play a critical role in scaling the technical capabilities of BeyondTrust’s partner ecosystem. • Enable partners to independently drive technical pre-sales activities, including discovery calls, product demonstrations, and proof-of-concept (POC) engagements. • Collaborate closely with partners to enhance their technical knowledge, align with Go-To-Market strategies, and support sales opportunities that drive pipeline and revenue growth. • Develop and deliver enablement programs, assist in deal registration opportunities, and provide consultative support.

• Create field-facing solutions content (technical walkthroughs, deep dives, demos, qualification guides, competitive guidance) for Data Protection, Unstructured Data, AI/Analytics, and File & Object Storage use cases, including backup and restore, DR/BC, ransomware/cyber recovery, archival/tiering, hybrid/multi-cloud protection, and large-scale data management. • Build and launch enablement for early-stage Cyber Resiliency qualification (e.g., playbooks, discovery templates) aligned to specific customer outcomes. • Develop strategies and patterns for integrating Pure solutions with unstructured data, AI, and analytics platforms; demonstrate value in complex data ecosystems. • Provide guidance for file and object storage deployment, management, and optimisation best practices. • Deliver webinars and event presentations (internal and external) with Alliance Partners, Channel Partners, and ecosystem vendors across backup/DR. • Join customer calls, demos, POCs, EBCs, and strategy/sizing sessions to accelerate pipeline and deal progression. • Maintain expertise in Pure’s platform portfolio; translate features (e.g., immutable snapshots, replication, rapid restore, container backup, disaster recovery) into concrete enablement plans. • Stay current on emerging unstructured data, AI/analytics, and file/object innovations; turn insights into actionable field guidance. • Influence the Solutions roadmap by capturing field feedback on patterns, blockers, and competitive dynamics in partnership with Product Management. • Lead or oversee field testing of integrations and reference architectures; document best practices to bridge gaps ahead of formal validation. • Provide post-sales assistance and troubleshooting around backup integrations, snapshot/replication workflows, cyber recovery runbooks, and DR orchestration patterns. • Partner with Sales Leaders for two-way feedback, elevating regional strategy and execution for Data Protection. • Drive cross-functional alignment on campaigns, content, and KPIs; connect teams and build strong internal relationships across Pure.

• Support the technical strategy for customers and prospects by assisting with solution discussions, product demonstrations, and technical walkthroughs. • Collaborate with Sales to design and present business and technical solutions aligned with customer requirements. • Contribute to technical proposals, Statements of Work (SoW), and supporting documentation for customer opportunities, including RFI/RFP responses. • Participate in customer discovery, requirements gathering, and solution design workshops, applying industry best practices. • Act as a technical advisor by mapping customer business needs to the LeapXpert product portfolio. • Work with internal Product and Engineering teams to support integrations, configurations, and customer-specific solution requirements.

• Define and deliver end-to-end full-stack architecture for AI-powered applications within the Azure ecosystem. • Lead the design and implementation of AI orchestration frameworks using Microsoft AI Foundry, ensuring scalability and compliance. • Develop and integrate front-end and back-end components for conversational AI experiences, including Microsoft Copilot and Teams interfaces. • Collaborate with stakeholders to translate business requirements into technical designs and actionable development plans. • Ensure best practices for security, identity management, and governance across all layers of the solution. • Oversee integration with enterprise systems (e.g., SAP, Databricks) and optimise performance for real-time AI workflows.