Top Remote Senior Level Jobs in Ann Arbor, MI

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Full Stack Java Developer will design and maintain enterprise applications using Java and modern front-end technologies while collaborating in Agile teams and mentoring junior developers.

Lead product marketing for an enterprise B2B SaaS agent: own launches, create customer case studies and academies, build competitive intelligence and ROI tools, develop sales enablement assets, and track marketing impact on pipeline and revenue.

Lead design and scaling of a unified fraud and risk platform. Own roadmap, fraud metrics, SQL-based analysis, A/B testing, real-time detection models, and cross-functional delivery to balance customer experience and risk mitigation.

As a Senior Software Engineer, you will work across the stack to create scalable and reliable systems for tracking freight intelligence, influencing architecture, mentoring, and collaborating with various teams.

The Verification Engineer will ensure the functionality and quality of digital designs, develop verification environments, and collaborate with RTL design engineers to deliver reliable silicon.

Lead data-driven initiatives to analyze complex datasets, build dashboards, present insights to leadership, and drive continuous improvement projects to improve operational performance and inform strategic decisions.

The Senior Product Manager will own product objectives, collaborate with cross-functional teams, and leverage customer feedback for product enhancements in a remote work environment.

Lead design system work for a large account, creating and maintaining Figma libraries across native and web, producing component and pattern documentation, designing iOS/Android apps and websites, building prototypes, collaborating with engineering for handoffs and visual QA, and helping product teams adopt design systems while presenting and communicating design decisions.

The AI Engineer will design and build production systems, focusing on LLM integration, system reliability, evaluation frameworks, and high-quality product features while maintaining strong engineering practices.