Top Tech Jobs & Startup Jobs in Philadelphia, PA

The Market Development Manager drives sales and partnerships in the Northeast, generating leads, onboarding new accounts, and managing distribution partnerships while ensuring customer satisfaction.

Support design and implementation of automation projects, assist with control panel specifications, collaborate with senior engineers, and maintain compliance with codes.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

This job involves providing onsite ASL interpretation services for a student attending academic and culinary classes in Philadelphia, Monday to Friday.

As a Senior DevOps Engineer, you will architect cloud solutions, manage release processes, mentor team members, and ensure application performance using best practices.

The Executive Assistant provides administrative support to the CMO and CEO, manages calendars, travel, meetings, and confidential information while ensuring smooth office operations.

Lead business development strategies to drive sales growth at CareSet Systems, managing the sales team and closing deals with pharmaceutical companies.

Support billing assurance and cash receipts processes including liaison duties, monitoring complex billing arrangements, auditing write-offs, developing reports, processing daily payments (wires, ACH, lockbox, checks), troubleshooting billing issues, assisting with training, and executing ad-hoc cash and billing projects.

The Senior Cloud Engineer will build and maintain cloud platforms, automate infrastructure deployment, and ensure security while collaborating with development teams.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.