Top Hybrid Jobs in Pittsburgh, PA

The Account Executive for National Accounts at MetLife will manage employee benefit sales and client relationships, focusing on Fortune 100 and 500 companies. Responsibilities include providing solutions for employer workforce needs and contributing to the company's growth through sales management and customer relationship building.

The Outsourced Services Consultant manages operations and vendor relationships for Corporate Services, including travel and card management, supports inquiries, reconciles invoices, and improves service efficiency.

As an Embedded Linux Engineer, you'll optimize embedded multimedia systems, develop automation, configure firmware, and collaborate on technical improvements.

The Civil Project Engineer I will design and prepare engineering documentation, conduct site design calculations, attend project meetings, and manage workloads for co-ops.

The Project Manager is responsible for planning, executing, and delivering projects, managing teams, ensuring quality, and maintaining budgets.

The Wealth Management Client Relationship Manager partners with advisors to provide client service and support high-net worth clients in achieving financial goals.

The Engineering Director at Duolingo will lead a software engineering team, oversee project management, and drive technical direction for innovative language learning solutions, focusing on the Duolingo English Test.

As a Plumbing Sales Representative, you will achieve sales targets, ensure customer satisfaction, and manage sales pipelines while collaborating with technicians.

The Mid-Market Sales Manager leads a sales team focused on building customer relationships, driving revenue, and managing sales operations for mid-market organizations, emphasizing Data Center Infrastructure and security solutions.

The Operations Partner manages operational excellence across franchise organizations, improving performance, profitability, and guest experience while ensuring brand standards are met.

As a Senior Data Engineer, you will develop data analysis metrics, workflows, and tools for validating autonomous vehicle ML performance, ensuring high-quality datasets and providing statistical analysis of model performance.