Top Fintech Jobs in Tulsa, OK

The Lead Product Manager will own the funds flow and ledger systems, leading strategy and execution to ensure accurate financial infrastructure for new products and scaling operations while collaborating across multiple departments.

You will own Kovo's lifecycle marketing strategy, optimize existing programs, design event-driven messaging, and integrate AI workflows for better personalization and customer engagement.

The R&D Tax Analyst at Kruze Consulting will identify and document R&D tax incentives, ensuring compliance with relevant tax laws while supporting various clients in a fully remote setting.

The Product Owner at REPAY will lead product initiatives within the Business Payments group, collaborating with stakeholders, managing product roadmaps, and enhancing customer experiences through AI tools and Agile methodologies.

As an Agentic Platform Engineer, you will design and manage core platform services and tools for high-scale distributed systems, focusing on Kafka and AWS environments, while delivering automated workflows across OnePay's products.

The Product Analyst develops and modifies information systems, gathers requirements, manages projects using Agile methodology, and collaborates with business and IT stakeholders.

The Fraud Analyst detects and disrupts fraudulent loan applications, performs investigations, monitors high-risk applications, and ensures compliance with fraud-related regulations.

Lead product strategy and execution at PatientFi, enhancing workflows and user experiences in healthcare tech financing through data-driven insights and collaboration.

The Enterprise Account Executive is responsible for building an account portfolio, exceeding sales quotas, managing the sales process, and collaborating with internal teams to support client needs.

The Senior Software Engineer at LearnLux will build scalable backend systems for an enterprise SaaS platform, collaborating across teams and tackling complex technical challenges. Responsibilities include developing cloud infrastructure, improving system reliability and security, and enhancing engineering practices with AI-driven tools.