Dynatrace

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

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Taylor Rose Taylor Rose
Published on June 24, 2025

Inside 12 Tech Internships That Are Worth the Hype

Read on to learn what stands out about internships at these top tech companies.

Recently posted jobs

14 Days AgoSaved
Remote or Hybrid
Los Angeles, CA, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive enterprise sales across Fortune 100 accounts by managing strategic customers and prospects, executing account plans, forecasting opportunities, and building executive relationships. Sell Dynatrace’s observability and security platform through demonstrations, events, partner collaboration, and enterprise solution strategies. Work with sales engineering, marketing, legal, and finance teams while using the MEDDPIC framework to acquire new business, expand existing accounts, and ensure successful customer implementations.
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, execute territory plans, develop executive relationships, conduct demonstrations, close new business, and expand Dynatrace usage. Collaborate with sales engineers, SDRs, partners, marketing, legal, and finance to deliver solution strategies, accelerate complex sales cycles, and ensure successful customer implementations.
14 Days 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.