• Lead the design and hands-on implementation of Azure-based solutions • Author production code (.NET Core, React, services, APIs) • Define and enforce patterns by building reference implementations • Design and build CI/CD pipelines and developer tooling • Stand up the production-support at scale: observability and SLOs, alerting • Partner with the SRE team and support engineering to operationalize these patterns • Lead the response to high-severity production issues • Design and implement microservices and APIs with thoughtfully defined contracts • Communicate architectural decisions, trade-offs, and risks clearly in writing and verbally

• Provide comprehensive post-sales onboarding assistance, ensuring customers reach full production readiness and achieve long-term adoption. • Participate in solution workshops with customers to identify key requirements and objectives and help shape prescriptive technical strategies to address their needs. • Develop Python scripts to load customer data and integrate RegScale with external commercial tools and platforms. • Create, maintain, and document product integration scripts to support ongoing platform extensibility and customer use cases. • Develop technical solutions and demonstrate the RegScale platform in both customer engagement and sales support scenarios. • Deliver customer training to support successful platform adoption and ongoing user enablement. • Capture and communicate customer technical requirements to the Product team to inform future enhancements, while actively supporting product development by piloting and testing new features. • Enable the Customer Success team by creating technical training for customers that include product demonstrations, example code, and hands-on exercises. • Collaborate with the Customer Success team to support existing customers by increasing platform utilization and identifying expansion opportunities. • Provide responsive technical support to customers, helping troubleshoot issues and guide resolution.

• Recruit, hire, onboard, and develop a team of Solutions Architects supporting Scale and Enterprise accounts. • Establish clear performance expectations, coaching rhythms, and career development paths for direct reports. • Foster a culture of curiosity, technical excellence, and customer obsession across the team. • Drive consistent execution through defined processes for technical discovery, proof-of-value engagements, and deal support. • Partner closely with Sales leadership and Account Executives to build and execute comprehensive account strategies. • Ensure the team conducts thorough, high-quality technical discovery to identify the right use cases and champion the right solutions. • Prioritize team resources against the highest-impact opportunities, balancing pipeline coverage with deal quality. • Bring rigor and repeatability to the pre-sales process—from qualification through technical win—while adapting to each customer’s unique context. • Serve as an escalation point and strategic advisor on complex, high-value engagements. • Guide the team in positioning Temporal against competing technologies and architectural patterns with clarity and credibility. • Ensure Solutions Architects can educate customers on both the technical benefits and the limitations of Temporal’s platform and cloud service. • Maintain a hands-on understanding of Temporal’s product, staying close to product roadmap and engineering developments. • Act as a voice of the customer back into Product, Engineering, and Marketing organizations. • Work closely with Customer Success, Professional Services, and Developer Relations to ensure seamless post-sale transitions and ongoing expansion. • Partner with Marketing on field content, competitive positioning, and event strategy. • Collaborate with Product to surface customer needs, feature requests, and market trends.

• Design and deploy Agentic AI applications that automate real carrier operations • Understand 5G network data • Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack • Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs • Anticipate partner and customer needs across the adoption lifecycle • Identify enablement opportunities that accelerate GenAI utilization • Advise on high-performance ETL pipeline design for telecom data