Top Tech Jobs & Startup Jobs

Lead Android development by designing and shipping scalable features, APIs, and architectures. Collaborate with product, design, and server teams, create unit and UI automation tests, instrument analytics, drive cross-platform parity, and lead prototype-first, spec-driven development.

Lead ownership and optimization of Workday Core HCM and security. Design business processes, security architecture, integrations, reporting, and governance. Partner with People, Finance, and IT to drive automation, data integrity, system strategy, testing, and documentation, leveraging AI to scale workflows and improve accuracy.

Process and reconcile domestic and international payroll, prepare payroll journal entries and accruals, maintain payroll records, respond to employee payroll inquiries, ensure regulatory compliance, collaborate with HR, analyze variances, and support audits and process improvements.

The Senior Growth Marketing Manager will drive user acquisition through paid social channels, optimize marketing campaigns using data, and collaborate with cross-functional teams for effective product launching and insights reporting.

Design and operate AI capabilities within infrastructure, focusing on workflows, cost control, and platform stability in a hybrid role.

The Staff Data Engineer will lead data infrastructure operations, implement AI automation, and develop analytical tools while mentoring others and engaging with various stakeholders.

The Senior Software Engineer will build AI-native tools to improve engineering productivity, reduce manual effort, and enhance software delivery at EarnIn, drawing from experience in developer workflows and infrastructure.

The Software Engineer will build AI-powered chatbot workflows, own features end-to-end, and collaborate in a fast-paced environment. Ideal candidates have a strong engineering foundation and experience with AI development tools, focusing on enhancing software processes.

Lead and scale machine learning efforts, manage teams, drive operational excellence, and align ML strategies with business goals.

The Head of Machine Learning will manage a high-performing ML team, ensure the success of ML systems, and drive initiatives across business partnerships. The role emphasizes strong production engineering and theoretical ML expertise.