• Serve as the trusted advisor to C-suite executives, contact center directors, and enterprise IT leaders, translating broad operational pain points into actionable digital transformation strategies. • Act as a critical feedback loop between the field and internal Product/Engineering teams to directly influence the Avaya Infinity roadmap. • Lead post-deal Win/Loss reviews on strategic opportunities to document lessons learned and inform team playbooks. • Lead the technical narrative for enterprise RFPs/RFIs, consistently positioning Avaya Infinity's differentiated value against market competitors. • Represent Avaya's technical perspective in customer Q&A sessions and security review calls. • Own complex Proof of Concepts (POCs) end-to-end, design high-performance premise-to-cloud integrations, and drive the technical Mutual Success Plan (MSP) with the AE. • Act as a force multiplier for the broader SC organization by independently authoring and governing centralized Hero Demos and reference architectures. • Mentor junior SCs, lead internal technical deep-dives, and actively drive the technical close plan alongside Enterprise AEs.

• Technical Discovery: Partner with AEs to conduct deep-dive discovery sessions, identifying prospect pain points in procurement, AP workflows, and inventory management. • Product Demonstrations: Deliver compelling, tailored demonstrations of the Field Materials platform, specifically showcasing our AI capabilities and bi-directional ERP integrations. • Solution Architecture: Design and present how Field Materials’ modules (RFQ, Orders, Inventory, Invoices) map to the customer’s existing workflows and how these modules need to be configured. • AI engineering: you will prototype AI agents customized to prospects’ needs. These agents may be used to extract information from documents or automate customer workflows end to end. • Integration Expert: Serve as the subject matter expert on our integrations with Procore, Sage 100/300/Intacct, Viewpoint Vista and Spectrum, Foundation, CMiC, and Quickbooks helping prospects understand how data syncs between systems. • Security & Technical Validation: Lead technical evaluations, including answering security questionnaires and addressing concerns regarding API capabilities, data privacy, and AI accuracy. • Feedback Loop: Collaborate with Product and Engineering teams to share field insights, ensuring our roadmap addresses the most critical needs of the construction industry. • Post-Demo Support: Act as a technical consultant during the closing stages of the sales cycle to ensure a smooth hand-off to the Customer Success team for implementation.

• Build and scale a solutions engineering function to support sales and customer outcomes • Own executive relationships with key customer and internal stakeholders, with accountability for: • Contribute to a formal solutions engineering enablement and competency program • Contribute to the operating rhythm to manage and scale solutions engineering • Helping define product lines and GTM strategies for Remote build • Architect and implement AI agent workflows

• Build and scale a solutions engineering function to support sales and customer outcomes • Define role profiles and coverage model (segments, regions, product lines) • Establish a repeatable technical discovery and solution design process • Set clear engagement models, roles/responsibilities, and success metrics • Own executive relationships with key customer and internal stakeholders, with accountability for: • Commercial impact (deal support, win rates, cycle time reduction, revenue influence) • Technical quality (solution accuracy, implementation readiness, customer satisfaction, escalations, continuous improvement) • Alignment to product vision (AI adoption, roadmap inputs, standardization) • Contribute to a formal solutions engineering enablement and competency program • Define levels, requirements, and maintenance criteria (training, assessments, quality metrics) • Partner with Solution Architecture to codify technical standards, reference architectures, and best practices • Ensure competencies are measurable, auditable, and scalable • Contribute to the operating rhythm to manage and scale solutions engineering • Business reviews / performance reviews with Sales and key stakeholders • Clear escalation paths and incident learnings • Reporting on team health, coverage, and capability gaps • Helping define product lines and GTM strategies for Remote Build • Building ADRs and PRDs for potential products • Identifying and abstracting solution spaces • Putting AI at the forefront of everything we do • Architect and implement AI agent workflows • Translate business processes into agent-enabled workflows (intake, orchestration, guardrails, evaluation) • Prototype with modern LLM tooling and iterate toward production-grade implementations • Design human-in-the-loop patterns, escalation paths, and observability (quality, cost, latency) • Partner with Engineering and Product to ship secure, reliable agent capabilities (APIs, permissions, data access)