Jobs at Dynatrace

Own the full sales cycle for commercial opportunities in the UK, including prospecting, account targeting, discovery, solution positioning, demonstrations, evaluations, negotiations, and closing. Develop territory go-to-market plans, build relationships with IT and business stakeholders, expand existing customer accounts, manage pipeline and forecasting in Salesforce, and consistently achieve or exceed quota for Dynatrace SaaS solutions.

Owns the full sales cycle for a defined commercial territory, including prospecting, account targeting, discovery, demonstrations, proof-of-concepts, solution positioning, pipeline development, forecasting, and closing. Builds relationships with IT and business stakeholders, expands existing customer usage, creates territory go-to-market plans, maintains Salesforce pipeline accuracy, and consistently works toward exceeding quota.

The Sales Development Representative qualifies leads for APM software sales, profiles accounts, and drives prospecting efforts, working closely with marketing and field sales.

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.

Manage end-to-end software renewals for LATAM customers, including tracking renewal intentions, preparing contractual quotes, coordinating with Sales and Finance, engaging stakeholders in value discussions, supporting contract changes, and meeting reporting and renewal deadlines. The role requires strong organization, communication, accuracy, multitasking, spreadsheet skills, and Spanish or Portuguese proficiency is advantageous.

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.

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.