Top Tech Jobs & Startup Jobs in Cleveland, OH

Oversee customer outcomes in project delivery, manage a team, ensure operational excellence, and promote AI integration in work processes.

Oversee delivery of implementation projects, mentor teams, manage resources, ensure operational excellence, and build customer relationships while integrating AI into processes.

The Team Lead, Account Management will manage a team of Account Managers, drive profit targets, and ensure performance, while collaborating across teams to optimize client campaigns and strategies.

Drive Pro sales for assigned customers via market research, cold calling, and regular meetings. Negotiate contracts, conduct sales calls, and collaborate cross-functionally to meet customer needs and increase sales.

The Senior Product Manager will lead advertising initiatives, collaborate with engineering teams, manage client engagements, and support customer success efforts, utilizing AI tools for product development.

The Director of Retail Engineering will lead architecture and development of Toast's Retail Platform, ensuring resilience and data integrity, managing teams, and driving technical strategy to support Grocery and Convenience Store demands.

The Staff Software Engineer will design and implement solutions for the Websites product, collaborate across teams, and innovate on a scalable web platform for restaurants.

The Regional Director leads a sales team for SaaS products, manages account strategies, works on customer expansion, and ensures sales objectives are met across the Central and Western Regions.

The Head of L&D leads workforce capability development in MetLife's Global Technology & Operations, aligning strategy to achieve organizational effectiveness and AI adoption.

The Lead Investment Administrator manages transaction processing for MetLife's Stable Value Products, ensuring accuracy, regulatory compliance, and effective communication with clients. This role involves data management and resolving client escalations.

This role involves originating and managing agricultural loans, fostering relationships with clients, and overseeing the agricultural investment portfolio in Southern states.

As a Product Manager at HiBob, you'll develop the Payroll product, manage the software lifecycle, collaborate with teams, leverage data for decision-making, and ensure user satisfaction while contributing to business development and client retention.

As an Account Executive for SMB, you'll manage the sales cycle from prospecting to closing, focusing on companies with under 200 employees, and drive growth in the SMB market.

The Technology Partnerships Manager will manage the lifecycle of technology partnerships, from identifying integration opportunities to onboarding partners, and driving product adoption and go-to-market initiatives.

The Applied Research Engineer II will lead applied research initiatives, develop algorithms, and collaborate across teams to translate scientific insights into impactful products in human wellness.

The Trade Merchandising Lead is responsible for planning, developing, and executing in-store displays, ensuring timely delivery and alignment across teams. This role involves project management, collaboration with vendors, and analytics to maximize effectiveness.

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 VP of Demand Generation will architect and execute strategies to drive revenue growth, optimize marketing initiatives, and enhance collaboration between marketing and sales teams.

The Benefits Partner manages international benefits programs, collaborates with stakeholders, analyzes benefits utilization, and enhances employee experience, focusing on global strategy and operational efficiency.

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.