• Translate customer AI, compliance, and data governance goals into scalable technical architectures • Design phased deployment strategies across on-prem and cloud ecosystems • Execute and manage proof-of-value engagements with defined success metrics • Lead technical workshops and stakeholder alignment sessions • Optimize system performance, validate throughput, and ensure production readiness • Develop technical documentation and best practices for enterprise rollout • Provide structured customer insights to influence product roadmap decisions

• Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures • Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders • Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies • Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement • Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact • Drive transition from POV to production through documentation, knowledge transfer, and expansion planning • Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams

• Own the end-to-end Azure Marketplace journey - packaging (managed applications, container offers, AKS app offers, solution templates, transactable offers), publishing, and continuous optimization of FlowX.AI's cloud offerings. • Design and implement Azure-based architectures for FlowX.AI deployments in highly regulated industries, covering network isolation, private connectivity, and compliance requirements. • Build and maintain cloud infrastructure automation using Terraform (Azure provider) to create repeatable, scalable deployment artifacts across customer and partner environments. • Deploy and manage Kubernetes applications on AKS using Helm, driving CI/CD pipeline best practices and DevOps excellence across the organization. • Collaborate with Engineering, Product, Customer, and Microsoft partner teams to ensure secure, scalable deployments and strengthen FlowX.AI's co-sell motions. • Support customer-facing discussions, workshops, and pre-sales engagements - bridging deep technical architecture with business and partner stakeholder needs.

• Partner with Solutions Engineers and Account Executives to support customer discovery, product demonstrations, and technical sales activities. • Learn how to understand customer business challenges, contact center operations, technical environments, and transformation goals. • Assist in preparing and delivering product demonstrations that show how Talkdesk can solve customer problems, improve customer experience, and drive measurable business outcomes. • Support the creation of customer demos, customer-specific use cases, presentations, follow-up materials, and technical documentation. • Help document customer requirements, business objectives, technical considerations, integration needs, risks, and next steps throughout the sales cycle. • Develop foundational knowledge of Talkdesk solutions including Talkdesk’s AI Platform, cloud contact center technology, customer service workflows, reporting, integrations, workforce engagement, and automation. • Collaborate with Solutions Engineering, AI Solutions Engineering, Value Advisory, Enterprise Architecture, Partner Engineering, Proposal Management, Demo Engineering, Product, Sales, and Customer Success to support high-quality customer engagements. • Participate in customer meetings, discovery sessions, demos, AI workshops, internal deal reviews, enablement sessions, and team learning activities. • Build confidence in explaining technical concepts in a clear, simple, and business-oriented way. • Support competitive positioning by learning how to differentiate Talkdesk solutions in the market. • Contribute to internal enablement, demo assets, reusable content, knowledge sharing, and team best practices. • Develop an understanding of how AI, automation, and enterprise integrations can transform customer and employee experiences. • Continuously develop technical, presentation, consulting, business acumen, and customer-facing skills through training, mentorship, certifications, and hands-on experience. • Travel to customer meetings, internal events, and team sessions as needed.