Top Tech Jobs & Startup Jobs

Design, implement, and maintain scalable test automation for web, API, and data validation. Build BDD tests, integrate automated tests into CI/CD, analyze failures, mentor engineers, and advance QA practices for AI-driven platforms.

Serve as FP&A business partner for Sales & Marketing, driving planning, forecasting, performance analysis, and resource allocation. Build driver-based models, track bookings and funnel metrics, evaluate marketing ROI, prepare executive and board reporting, and improve reporting processes and data quality to enable better go-to-market investment decisions.

Partner with Sales, Marketing, and Revenue Operations to lead planning, forecasting, and performance analysis for go-to-market. Build driver-based models, track bookings/pipeline/productivity metrics, evaluate marketing ROI, prepare executive and board reporting, and improve reporting processes, data quality, and planning tools to optimize Sales & Marketing investments and forecast accuracy.

Lead global partner marketing for AWS, building joint GTM plans, integrated campaigns, content, digital demand generation, events, and executive engagement to drive pipeline and revenue. Coordinate cross-functional teams, manage budgets, agencies, and measurement to optimize partner-sourced opportunities and reporting.

The Product Support Specialist ensures timely resolution of support tickets, maintains communication with customers, and documents solutions accurately while collaborating with internal teams.

The Technical Support Manager will oversee support operations, lead a team, troubleshoot technical issues, manage customer escalations, and improve service quality and processes.

As a Site Reliability Engineer, you'll design and manage Kubernetes infrastructures, implement advanced autoscaling solutions, and enhance observability while collaborating with engineering teams to ensure reliability and performance of services.

As a Lead AI Customer Engineer, you'll resolve complex technical challenges for enterprise clients, collaborate with engineering teams, and ensure reliable AI application performance.

Manage a team of technical support engineers to resolve complex issues in AI applications, establish operational processes, and improve customer satisfaction.