Top Tech Jobs & Startup Jobs in Cleveland, OH

As the Product Manager for Developer Experience, you will shape the developer workflow in dbt Cloud, enhancing products like Studio IDE and Developer Agent, and collaborating with the Fusion team on AI-powered development.

As Senior Data Science Manager, you'll lead the LTV team, driving strategic modeling of customer value, delivering insights to impact business decisions, and enhancing automation and reproducibility in data science workflows.

Territory-based Brand Development Manager responsible for driving sell-in, sell-through, and market share across independent and Specialized retail, developing retailer relationships and networks, executing product launches and merchandising, integrating online and in-store channels, reporting activity in Salesforce, and representing the brand at events and trade shows.

Develop AI agents leveraging large language models, integrate external tools, and ensure production-ready AI features while collaborating across teams.

The Absence Management Specialist manages claims between clients, employees, and healthcare providers while ensuring compliance with regulations and quality customer service.

As a Senior Rev Ops / Salesforce Product Owner, manage Salesforce administration, enforce data hygiene, analyze data for process improvements, and support operational insights.

The Senior Program Manager is responsible for coordinating product development activities, driving innovation in digital health and AI, managing cross-functional teams, and supporting project prioritization and governance within cardiac monitoring solutions.

The Senior Solutions Engineer will lead technical sales for major accounts, designing security architectures, managing POCs, and ensuring customer alignment with product roadmaps.

Lead the Customer Success organization, driving performance across onboarding, adoption, retention, and expansion while coaching team members and improving outcomes through data-driven strategies.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.