Top Fintech Jobs in Pittsburgh, PA

As a Senior Software Engineer, you'll build applications, APIs, and SDKs for AI agent interactions in finance. You will develop core products, enhance payment systems, and support decentralized AI coordination.

The Sales Development Representative at TaxGPT will generate leads, qualify inbound leads, manage CRM, and partner with Account Executives to drive revenue.

The SVP, Sales - Core & Digital leads sales initiatives for core processing and digital banking solutions to credit unions, focusing on new business acquisition, managing the sales cycle, and building executive relationships.

The QA Analyst audits fraud operations and dispute cases, evaluates adherence to SOPs, maintains QA methodologies, reports performance trends, and drives corrective actions to improve operations.

As an SQA Automation Engineer, you will develop and execute automated test scripts, collaborate with teams, enhance testing frameworks, analyze results, and integrate tests into CI/CD pipelines.

The role involves advising financial institutions on Human Capital Management solutions, delivering executive presentations, managing sales projects, and collaborating across teams to drive business outcomes and revenue for Workday.

The Operations Escrow Officer is responsible for executing refinance closings with expertise, ensuring customer satisfaction through effective communication and precise document management.

The Marketing Associate will assist in executing marketing campaigns, coordinating content across channels, managing operations and analytics, and collaborating with cross-functional teams.

The Solutions Engineering Manager leads the integration function, ensuring technical solutions align with business needs, while managing a team and improving processes for merchant integrations.

Lead identification and design of automation and AI solutions across departments: document current workflows, produce future-state architectures and POCs, present to leadership, and hand off implementable designs to engineering and data teams to scale operations without proportional headcount growth.