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Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive enterprise software sales through new customer acquisition and expansion of existing accounts. Manage 7–10 customers and 5–8 prospects, develop territory and account strategies, engage VP and C-level executives, conduct demonstrations and events, build partner networks, and coordinate with sales engineering, marketing, legal, and finance. Grow Dynatrace usage through upselling, cross-selling, and successful implementations while consistently achieving revenue targets.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead and scale strategic AI infrastructure partnerships to embed Dynatrace as the default observability layer for GPU-accelerated AI workloads. Own partner strategy, executive relationships, alliance agreements, joint GTM/co-sell motions, pipeline targets, joint product roadmap, and partner enablement to drive partner-influenced revenue and customer wins.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Design and deploy production AI assistants, copilots, agents, RAG systems, and workflow automation using enterprise data. Build AI backend services, APIs, microservices, and AWS serverless workflows; integrate enterprise platforms; implement observability, responsible AI, human-in-the-loop controls, and traceability. Partner with Data, IT, and business teams to improve operational processes and decision-making while managing production incidents, model rollbacks, performance, accuracy, and cost.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead Dynatrace’s product-led growth strategy across marketing, product, and sales. Own acquisition, activation, adoption, monetization, and retention metrics; optimize the product funnel; manage experimentation and lifecycle marketing programs; build performance dashboards; communicate insights to executives; and mentor Growth Marketing Managers.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Develop low-level, high-performance instrumentation within CICS and z/OS using HLASM. Design production features for mission-critical mainframe environments, diagnose complex system behavior through dumps and traces, analyze performance bottlenecks, and collaborate with an experienced engineering team. The role requires deep z/OS and CICS internals expertise, systems programming knowledge, and proficiency with JCL, SDSF, and USS.
