Top Tech Jobs & Startup Jobs

The Account Executive will own customer relationships and sales strategy across Alaska, focusing on new logo acquisition, account planning, pipeline development, quota attainment, and complex enterprise technology sales. The role requires evangelizing all-flash storage and data solutions, leading pursuit teams, coordinating internal resources and partners, building executive and technical relationships, and driving customer satisfaction. Candidates should have a strong record of exceeding quotas and generating $5–$10 million annually.

Lead the global Workday Payroll product as senior product owner: own roadmap, configure and deploy payroll functionality, manage integrations with Core HCM/Time/Benefits, ensure statutory and SOX compliance, resolve complex payroll calculation and retroactivity issues, evaluate releases, and partner with HR, Finance, IT, and regional payroll teams to optimize system health and adoption.

Design and build backend services for an AI-first data platform, including a declarative policy engine, distributed control systems, telemetry processing, integrations, and state-consistency capabilities. Own features through design, implementation, testing, deployment, monitoring, and production support. Collaborate with engineering, product, and architecture teams while shaping technical direction and engineering standards.

Lead technical pre-sales activities for enterprise storage solutions: understand customer needs, design tailored architectures (DAS/NAS/SAN/cloud), run evaluations and benchmarks, present solutions, capture requirements, support RFPs, collaborate with sales, partners, product and marketing, and maintain competitive and market knowledge to close technical wins.

Build and own high-performance Go backend systems for an enterprise data-management platform. Responsibilities include designing distributed systems, solving concurrency, scalability, performance, and fault-tolerance challenges, integrating data sources and cloud services, and managing solutions from design through deployment and production troubleshooting. The role also involves influencing architecture and collaborating with Product, QA, Architecture, DevOps, and SRE teams. This is primarily an in-office position in Prague.

Design, build, and deploy analytics architecture and ETL to process telemetry from hardware and software. Create analysis‑ready datasets, dashboards, alerts, and data products. Apply statistical and ML techniques to improve platform reliability and performance. Lead data‑driven projects with hardware and software teams to inform engineering and leadership decisions.

Supports the organization-wide rollout of an AI-led software development lifecycle framework. Coordinates timelines, deployments, dependencies, risks, issues, action items, stakeholder communication, delivery metrics, readiness tracking, status reporting, and executive summaries. Partners with engineering teams, product managers, platform owners, and the PMO to integrate AI-enabled workflows into engineering processes, gather feedback, and improve the operating model.

Lead a 20+ person engineering organization responsible for metadata infrastructure, resource allocation, and system configuration. Mature data reduction capabilities, drive platform convergence across product lines, enforce reliability and automated testing, manage technical debt, and coach engineering managers while collaborating with Architecture and Product. On-site in Santa Clara, CA.

Design, develop, and maintain automated workflows, business rules, and integrations within the ServiceNow platform (ITSM/CSM/HR/ITOM/IRM). Deliver enhancements, perform root-cause analysis, support platform stability via on-call rotation, collaborate on technical design and code reviews, and drive platform performance, security, and documentation.

Designs, deploys, and optimizes production Kubernetes clusters across hybrid and multi-cloud environments. Builds CI/CD pipelines, GitOps workflows, and Infrastructure as Code automation for cloud-native platforms. Advises customers on complex container infrastructure challenges, troubleshoots production environments, and partners with engineering and support teams. Architects highly available containerized infrastructure, scale-out data platforms, and storage solutions for modern databases and data-processing workloads.