Top Tech Jobs & Startup Jobs in Nashville, TN

The Senior Full Stack Developer will build end-to-end solutions, collaborate in a remote environment, and write technical documentation. The role requires expertise in Ruby on Rails and various programming paradigms.

The role involves participating in meetings, leading initiatives, recruiting new team members, and mentoring existing team members.

Support administration, analysis, and governance of executive (VP+) compensation and equity programs. Perform market benchmarking, grant tracking, dilution and scenario modeling, reporting, and compliance support. Partner cross-functionally with HR, Finance, Legal, Payroll, and Stock Administration to ensure accurate processing, documentation, and stakeholder communications.

Join Feedzai's Internship Community by submitting your resume. Engage with training, shadow colleagues, and start working on projects to gain experience.

The Head of Business Development will drive Shelby's go-to-market strategy, secure partnerships, and build the commercial foundation of a decentralized storage ecosystem.

Senior Strategy & Ops generalist focused initially on Billing: optimize collections and cash conversion, build predictive analytics and underwriting, vet AI vendor solutions, redesign payment conversion processes, and potentially manage Billing Account Managers to improve profitability while preserving customer experience.

The Head of Communications will create and lead ABTC's external communications strategy, manage media relations, and build investor trust while scaling the communications function.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.

Perform outbound prospecting, build relationships, qualify leads, and set meetings to drive new business opportunities while representing AvidXchange's AP automation solutions.

Design and scale machine learning systems and infrastructure, partner with data and applied scientists, build reusable ML pipelines and abstractions, ensure production readiness using robust software engineering practices, and prototype new technologies to improve customer experience and automate business processes.