Top Tech Jobs & Startup Jobs in Philadelphia, PA

As a Software Engineer on the Human Data team, you will improve AI model capabilities, build and maintain codebases in languages like Python and Rust, and collaborate with teams to refine AI-generated code.

The Associate Paid Search Analyst will collaborate with category managers and stakeholders to define goals and strategies for advertising campaigns. Responsibilities include conducting keyword research, managing campaigns, implementing optimizations, analyzing performance, and communicating results to teams. The role requires expertise in PPC and best practices to enhance campaign effectiveness and achieve client goals.

The Solutions and Quality Manager will lead the creation and design of innovative supply chain solutions, manage quality initiatives, support software feature integration, and enhance manufacturing processes. The role requires expertise in quality management systems and significant experience in manufacturing and supply chain.

The Senior Account Executive is responsible for building market positions by locating, developing, negotiating, and closing new business. Key duties include assessing clients' investment strategies and advising on appropriate lending solutions while maintaining relationships with direct investors and brokers. The role requires a proactive approach, strong understanding of real estate investing, and superb organizational skills.

The Senior Software Engineer will build and deliver innovative solutions to complex problems, specializing in large-scale web applications, primarily using Go. Key responsibilities include ensuring technical decisions align with business objectives, unblocking the team, leading the adoption of new technologies, and improving team efficiency within an Agile framework.

The Associate Director of Finance will support cross-functional teams by developing financial models and delivering data-driven insights for strategic planning and reporting. This role involves maintaining the operating model, conducting variance analyses, and developing reporting dashboards to track KPIs, facilitating informed decision-making at leadership levels.

As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines. Responsibilities include collaborating with data teams to create scalable solutions, using tools like Databricks and Snowflake, while leveraging SQL and Python for data analysis and model training.