Top Tech Jobs & Startup Jobs

Lead technical direction and deliver large-scale, cloud-native account and subscription management systems. Drive cross-team architecture and complex problem solving, embed AI across the delivery lifecycle, build tooling and guardrails for agent-assisted development, mentor senior engineers, improve delivery and quality, and align engineering and business stakeholders to reduce technical debt and raise engineering standards.

Drive land-and-expand sales across enterprise accounts by managing 7–10 customers and 5–8 prospects (18 accounts). Execute territory plans, win new logos, expand usage, engage C-level stakeholders, run demos and events, co-sell with internal teams, and ensure successful customer implementations.

Design, build, and maintain highly scalable, reliable observability platform components. Lead architecture, debug distributed systems, reduce technical debt, and elevate engineering quality through testing and code reviews. Mentor junior engineers, collaborate with product teams, and integrate AI tooling to enhance platform capabilities.

Design and build Kubernetes Operators in Go to automate the lifecycle of the Dynatrace platform while ensuring ease of use and reliability for diverse customer setups.

Lead delivery of Dynatrace professional services for federal/public sector customers. Manage full project lifecycle, schedules, risks, budgets, governance, and stakeholder engagement. Coordinate multidisciplinary teams, ensure quality outcomes, drive continuous improvement, and support executive reporting to realize customer value and growth opportunities.

Post-sales technical lead for strategic customers, ensuring successful deployment, adoption, and value realization of Dynatrace products. Troubleshoot complex integrations, advise on architecture and best practices, provide training and coaching, act as customer advocate across support and product teams, conduct business reviews, and document success plans while understanding customers' infrastructure and regulatory requirements.

Lead business process analysis and documentation for GTM systems, partner with Sales and Marketing to define user stories and acceptance criteria, manage backlog with Product Owners, liaise with delivery and integration teams, and drive BSA standards and stakeholder communication to deliver scalable CRM and marketing automation solutions.

Lead design and implementation of enterprise data governance: define standards, operating model and AI-ready data criteria; partner with data product managers, engineering, security, legal and privacy to operationalize metadata, lineage, access controls, quality monitoring, and self-service for analytics and AI.

Design, build, and maintain high-performance Go backend services for a multi-tenant AI agent platform. Own authentication, token/session lifecycle, scoped credential granting, and data isolation. Harden the platform against web and AI-specific threats, contribute to backend features, database and infrastructure work, and drive architectural decisions, testing, and debugging.

Build and maintain core Python agent layers and LLM routing, implement tool-calling infrastructure and guardrails, design validation and prompt-injection defenses, define datasets and metrics for automated agent evaluation, drive architectural decisions, and own testing, debugging, and production reliability for LLM-powered agent systems.