Top Senior Level Jobs in Philadelphia, PA

The Market Manager is responsible for building and maintaining relationships with automobile dealers, generating sales, and increasing market penetration for Lotlinx products. They will engage in demand creation, account management, and ensure a smooth transition of dealer relationships to account management, focusing on meeting revenue targets and improving processes.

The National Account Manager will manage and develop national accounts for beverage products, implementing sales strategies, negotiating contracts, analyzing market trends, and ensuring customer satisfaction.

The Enterprise Regional Sales Manager will lead sales efforts by collaborating with clients to address security issues, helping them in their cloud security journey, and managing the full sales cycle for enterprise customers. The role requires a strong understanding of security solutions, along with experience in complex sales environments.

As a Senior Drupal Developer, you will work on both back-end and front-end technologies, collaborating with a distributed engineering team. Responsibilities include designing and building web applications, mentoring team members, and ensuring the implementation of client requirements. A strong focus on using Drupal best practices and keeping up-to-date with technology trends is essential.

Sales Engineer at ReliaQuest responsible for showcasing the value of cyber technology, engaging with prospects, and growing business opportunities. Providing security confidence through demonstrations of the GreyMatter platform, analyzing client needs, responding to RFPs, and meeting quota objectives.

As a Mainframe Systems Programmer Lead, you will lead technical projects and manage the analysis, design, development, testing, and implementation of Trade processing solutions while guiding and training team members. You will interact with stakeholders to understand requirements and ensure compliance and data integrity.

The Data Scientist will develop methods to consolidate and analyze large data sets for business insights and product enhancement. Responsible for building and promoting complex statistical and machine learning models, data cleanup, and ensuring data quality. Collaborates with stakeholders and leads team members in creating model outputs while adhering to regulatory standards.