Director - Partner Solution Architects - Cloud and AI Alliances

Your role at Dynatrace

The  Director, Cloud & AI Partner Architects  is a senior technical leadership role in the global cloud and AI alliances organization.  This role serves as the technical bridge between Dynatrace and the cloud partners (AWS, Microsoft Azure, and/or Google Cloud) and AI alliances partnerships driving joint solution strategy, integration advocacy, and cross-functional alignment across product, marketing, and field organizations.

Own and develop Dynatrace's strategic technical alliances with prioritized cloud and AI native partner accounts. Manage a team of Partner Solution Architects covering cloud (AWS/Azure/GCP) and AI-native partner segments and aligned to partner integration milestones and alliance revenue targets Own the cloud AI-native technical strategy and execution across hyperscalers, AI Native infrastructure, LLM providers, App Builders and AI SaaS par tners. Direct the team’s technical engagement with AWS, Azure, and GCP partner engineering and solutions architecture organizations — ensuring Dynatrace integrations with hyperscaler AI services (Amazon Bedrock, Azure OpenAI, Vertex AI + Gemini) remain current, differentiated, and field-ready Serve as the senior product influence voice  — translating partner ecosystem trends, AI-native integration requirements, and competitive gaps into prioritized product roadmap inputs delivered directly to DT VP/Director Product leadership Own the overall technical narrative for Dynatrace’s AI native ecosystem position — reference architectures, joint solution briefs, co-authored content, and partner-facing technical documentation across the entire partner portfolio; define quality standards and content approval processes for the SA team Work with partner marketing, develop and execute joint GTM campaigns, ecosystem events support and pipeline generation plans. Drive joint co-innovations and solutions roadmap working with product teams   Build content to deliver sales, partner and channels enablement with clear value proposition and sales plays. Author and contribute to technical whitepapers, reference architectures, conference presentations, and co-authored blog posts — establishing Dynatrace as the authoritative voice on enterprise AI observability and agentic AI.

What will help you succeed

Bachelor’s degree in Engineering, Computer Science, or equivalent professional experience 10+ years of experience in solutions architecture, technical alliance management, partner engineering, or a related technical partner-facing role 4+ years in a technical leadership role managing a team of solution architects or partner engineers with direct accountability for integration milestones and partner technical and business outcomes

Deep technical expertise in cloud-native architectures with hands-on experience across one or more major cloud platforms (AWS, Azure, GCP) — including AI/ML services, Kubernetes / container orchestration, and observability integration patterns. Strong experience with multiple key technology areas of the AI-native ecosystem: LLM inference infrastructure, agentic AI systems, MCP (Model Context Protocol), LLM providers, developer tools, GPU workload architectures (NVIDIA NIM, DCGM), and enterprise requirements for AI governance, eval, and cost attribution. Strong understanding of the LLM provider ecosystem: Anthropic, OpenAI, Mistral, open source and cloud LLMs [AWS Bedrock, Gemini etc.] and the enterprise programs each partner operates. Understanding of LLM economics: token cost attribution, inference optimization, model evaluation frameworks, enterprise SLAs, and AI governance requirements Demonstrated experience building and developing high-performing technical partner teams — including hiring, performance management, career development, and managing across cloud and AI-native domain expertise. Prior experience in a