Top Tech Jobs & Startup Jobs in Pittsburgh, PA

The role involves managing relationships with banks and payment processors, executing financial integration projects, ensuring compliance and operational success while driving process efficiency.

The Data Product Manager will create data insights, optimize data models, manage dashboards, and automate reports to enhance decision-making across teams.

The Account Manager will maintain and grow customer relationships, manage sales communications, coordinate events, provide training, and monitor performance metrics.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

Lead and develop a software engineering team focusing on modernizing a legacy platform using Java/Spring, transitioning to Spring Boot and React, while implementing CI/CD and SDLC practices.

The Director of Sales Excellence will design and scale a high-performance sales organization at Semios Group, develop consistent sales frameworks, manage training programs, and support revenue growth through effective processes and collaboration across departments.

The Product Experience Specialist will provide user support, troubleshoot issues, capture insights, and improve the support process while advocating for users.

Lead the development of AI-driven consumer-facing products in senior care, collaborating closely with engineering and design to prototype and iterate on agentic experiences.

The Principal Product Manager leads discovery and validation of new product ideas, collaborates with teams to test market opportunities, and synthesizes data into actionable insights for product strategy.

This role involves developing and optimizing LLM applications, architecting workflows, and integrating AI functionalities. Strong experience in AI/ML and collaboration is required.

The role involves building and scaling LLM-powered applications, managing the full product lifecycle, ensuring system reliability, and collaborating across teams to deliver impactful AI-driven features.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.