Top Tech Jobs & Startup Jobs in Philadelphia, PA

The Sales Development Representative will identify new clients, engage leads through calls and emails, qualify them based on criteria, and communicate the value of the company's SaaS and Digital Marketing products. This role focuses on building relationships with prospects and driving revenue growth through effective outreach and nurturing leads until they are ready for the sales team.

The Staff Product Manager will lead the strategy and execution for CareHub, a healthcare software, focusing on value-based care, product vision, and cross-functional collaboration to ensure a high-impact and user-centered development process.

Seeking a Principal Network Engineer with 10+ years of experience in network engineering. Responsibilities include partnering with clients, configuring LAN/WAN, routers, switches, firewalls, Azure VNet integration, and working with Cisco and Fortinet products. This is a remote 1099 position within the United States.

The Insurance Verification Coordinator will manage daily insurance verification functions, update patient information, secure reimbursement paperwork, and assist with case management. The role involves working closely with patients to verify their insurance benefits, generate price quotes, and obtain necessary prior authorizations, while ensuring client satisfaction and supporting case managers in price negotiation and issue resolution.

The Manager of Marketing Technology and Data Operations oversees the marketing technology stack at Berklee College of Music, managing platforms like Salesforce Marketing Cloud, optimizing data capture, and ensuring effective marketing campaign execution. This role involves collaboration with stakeholders to enhance workflows, improve customer engagement, and support data-driven decision-making.

The Senior Backend Engineer will design, build, maintain, and scale Direct Mail processes while collaborating closely with vendors and internal teams. Responsibilities include addressing hygiene, compliance generation, troubleshooting issues across environments, and improving existing solutions with a focus on modern technologies and continuous delivery.

As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.