Top Senior Level Jobs in Philadelphia, PA

Lead and mentor a front-end team, developing responsive web functionality, enhancing ML operations, and managing technical solutions across digital platforms.

The Senior Product Manager will define product vision for Risk Cloud, collaborate with teams, translate business needs into product requirements, and measure success through customer metrics.

As the Director of Insurance Product Management, you will lead product management efforts, drive profitable product management, and collaborate on product development and regulatory compliance.

The Staff Data Engineer role involves developing and maintaining near real-time data pipelines using various technologies to enhance operational reporting and patient outcomes. Responsibilities include designing data architecture, ensuring data quality, and collaborating across teams.

The Sr. Analytics Engineer designs data models for reporting, collaborates across teams, and optimizes cloud-based data warehouses, particularly in healthcare settings.

The Senior Full-Stack Engineer will develop backend systems and APIs for Dandy's web-based 3D toolchain, manage integration with 3D tools, and ensure efficient cloud storage and distribution.

The Senior Manager, CX Strategy & Operations will lead strategic initiatives and optimize processes to enhance customer experience and operational efficiency.

Lead the go-to-market strategy for Dandy's hardware products, focusing on customer needs, positioning, and cross-functional launch execution.

The Senior Account Executive will manage a full sales cycle, focusing on new business acquisition, building relationships in the PEO sector, and exceeding sales quotas.

As an Engineering Manager, you'll lead a high-performing team to enhance Zocdoc's healthcare marketplace by improving provider data systems and integration of LLM-driven matching, overseeing technical direction, and collaborating across teams.

Responsible for developing and maintaining technical solutions in NetSuite, collaborating with business analysts, mentoring team members, and ensuring best practices.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

The Mobile Inspections Supervisor leads inspectors, ensuring quality inspections and operational efficiency while fostering accountability and team development.