Top Fintech Jobs in Nashville, TN

The Principal Database Engineer manages the Oracle Exadata platforms, oversees database architecture and engineering, optimizes costs, and supports AI and analytics initiatives. They lead performance engineering, licensing strategy, and cloud integration, ensuring operational excellence and mentorship for technical teams.

As a Claims Manager, you will manage claims investigations, collaborate with teams, analyze claims data, and ensure efficient resolution while maintaining relationships with stakeholders.

Lead end-to-end product design for Growth surfaces: run experiments to improve acquisition, conversion, retention and monetisation; design lifecycle and referral flows; maintain the design system; run lightweight user research and A/B tests; collaborate closely with PMs and engineers; mentor junior designers and apply AI-assisted design tools.

Design and customize Sage Intacct, develop financial reports, support data migration, and train users while ensuring compliance with GAAP.

Lead loss mitigation, predictive collections, and loss forecasting (CECL) for consumer lending. Build data models and contact strategies, align conversational operations, manage credit loss budgets, vendor selection, and present risk insights to executive stakeholders.

Lead and grow Matter's AI and data science efforts to build personalized meal-planning models. Develop ML and reinforcement learning algorithms, integrate LLM conversational interfaces, design feedback loops and dashboards, collaborate cross-functionally, and ensure alignment with nutrition science and ethical AI practices.

The Account Executive will manage the full sales cycle, engage with multiple stakeholders, and ensure efficient onboarding of clients in the fintech sector.

The Senior Account Executive will drive revenue growth by engaging and closing high-value accounts in the rental real estate sector, managing complex sales cycles, and building relationships with key stakeholders.

Run end-to-end business operations: people ops (onboarding/offboarding, HRIS), office and culture, board and investor relations, vendor and contract review, and corporate admin. Work closely with founders, manage high-stakes processes, and automate repetitive tasks using AI.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.