Top Senior Level Jobs in Philadelphia, PA

The Product Manager will expand Zingtree's AI-based product portfolio, driving new product development and enhancements. Responsibilities include collaborating with engineering, understanding customer needs, crafting business plans, and staying updated on AI technology and market trends.

The Senior Design Engineer is responsible for compliance with HSE policies, engineering and testing electrical systems, interfacing with vendors, and developing project documentation. They design electrical schematics, program PLCs, troubleshoot SCADA systems, and manage projects while ensuring effective communication with stakeholders.

Paralegal role at Neogen, responsible for administering patent annuities, trademark renewals, contract drafting and reviews, M&A transaction support, sustainability inquiry responses, resolving legal issues, and developing corporate guidelines. Requires a minimum of 5 years' experience and proficiency in analytical, communication, and organizational skills.

Seeking an experienced attorney to support renewable energy projects on project development, negotiations, M&A, financing, and regulatory matters. Must have a Juris Doctor degree and 6+ years of experience in commercial transactions and renewable energy-related work. Strong communication, negotiation, and leadership skills required.

The Freelance VP Level Strategic Consultant will lead strategic consulting projects in the pharmaceutical and biotechnology industries, providing direction, overseeing execution, and driving growth for clients.

As a Senior Software Engineer at Expanso, you will lead the development of Bacalhau, focusing on performance, reliability, and scalability while collaborating with a cross-functional team. You will ensure coding excellence, troubleshoot issues, and iterate based on community feedback in a dynamic, innovative environment.

The Senior Cloud Engineer will optimize GridMatrix's data pipeline and cloud infrastructure, manage customer deployments, architect solutions for cost and performance, and build machine learning and analytics pipelines while measuring feature impact.