Top Hybrid Senior Level Jobs

Lead QA efforts by defining test strategy and quality gates, designing and executing manual and automated API/UI tests, building/maintaining automation frameworks, integrating tests in CI/CD, performing defect/root cause analysis, mentoring team members, and reporting quality metrics to enable shift-left testing and reliable releases.

Responsible for managing sales to enterprise customers, ensuring team training and development, monitoring performance, and achieving sales targets. Leads promotions and coordinates with internal teams.

The Director, Merchandising will develop and lead the merchandising strategy for Shark and Ninja products, collaborating with various teams to ensure successful product launches and brand alignment, while establishing a strong merchandising function.

The Senior Software Engineer will design and develop a distributed CRM platform, implement core components, fix bugs, and enhance data pipelines using various programming languages and technologies.

Design and build innovative solutions, collaborate with teams for customer-centric development, and optimize processes in a fast-moving environment.

The Customer Success Manager will drive client success, ensuring high adoption, retention, and growth while maximizing product utilization and maintaining relationships.

The Controller will manage accounting operations, ensuring financial compliance and reporting, overseeing audits, and mentoring staff, while partnering with the CFO.

The Senior Data Scientist will develop risk prediction models and perform statistical analyses on clinical datasets, focusing on digital biomarkers for cardiovascular disease. Responsibilities include data pipeline development, cross-team collaboration, and scientific publications.

The Senior Territory Strategy Manager is responsible for developing territory management strategies, analyzing sales data, and collaborating with teams to drive sales productivity and growth.

The Senior AI Engineer will develop generative AI solutions, deploy scalable AI/ML applications in cloud environments, and drive innovative technology projects in financial services.