Dynatrace

Maidenhead
5,600 Total Employees
Year Founded: 2005

Dynatrace Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: 2 days a week

Global Office Locations

Maidenhead

Maidenhead, United Kingdom

Recently posted jobs

An Hour AgoSaved
Remote or Hybrid
Maidenhead, Berkshire, England, GBR
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 customer accounts and 5–8 prospects, build executive relationships, execute territory plans, conduct demonstrations and events, develop account strategies, coordinate with sales engineering and internal teams, and expand Dynatrace adoption through upselling and cross-selling.
4 Days AgoSaved
Remote or Hybrid
Maidenhead, Berkshire, England, GBR
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Drive enterprise software sales growth across public sector accounts using a land-and-expand strategy. Manage 35–40 prospects and up to two existing customers, acquire new logos, expand Dynatrace usage, build executive relationships, conduct demonstrations and events, develop territory plans, and collaborate with sales engineering, marketing, legal, finance, partners, and other teams to deliver successful customer implementations.
5 Days AgoSaved
Remote or Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Leads Dynatrace’s enterprise AI strategy, roadmap, governance, and value realization across business functions. Establishes responsible AI policies, risk frameworks, and oversight standards; evaluates build, buy, and partner options; builds an AI Center of Excellence; develops organizational AI literacy; and advises executives on AI investments, adoption, and measurable productivity outcomes. The role requires significant enterprise transformation leadership, cross-functional influence, vendor evaluation, and expertise in modern AI architectures and platforms.