Dynatrace

HQ
Boston
Total Offices: 4
5,600 Total Employees
Year Founded: 2005

Teams at Dynatrace

Recently posted jobs

15 Days AgoSaved
Remote or Hybrid
Chicago, IL, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive enterprise software sales growth across the Detroit metropolitan area through new-customer acquisition, territory planning, product demonstrations, executive engagement, and land-and-expand strategies. Manage up to 40 accounts, including prospects and existing customers, while developing account networks, partnering with sales engineers and channel partners, and coordinating internal teams. Build business plans, close complex enterprise sales cycles, achieve quota, and support successful implementations, upselling, and cross-selling.
18 Days AgoSaved
Remote or Hybrid
Chicago, IL, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Supports sales through technical demonstrations, proof-of-concept creation and management, cloud architecture discussions, solution evaluations, RFPs, and customer presentations. Builds relationships with customers, partners, executives, and internal teams while evangelizing Dynatrace observability products. Provides technical guidance throughout the sales cycle, troubleshoots issues, gathers product feedback, and supports multiple opportunities simultaneously.
2 Hours AgoSaved
Remote or Hybrid
United States
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.