Top Tech Jobs & Startup Jobs in Fayetteville-Springdale-Rogers,

The VP of Engineering will lead the engineering organization, scale operations, drive AI integration, ensure delivery excellence, and foster collaboration with product and technology teams.

Lead Capital Markets product development by partnering with business lines, coordinating cross-functional launches, educating investors, negotiating term sheets, modeling product economics, and ensuring scalable infrastructure and reporting. Manage investor pipelines, validate readiness for regulatory and investor reporting, oversee execution and post-launch performance, and build repeatable frameworks to streamline future product development.

Lead design, build, and deploy full-stack software for DoD/IC missions. Rapidly prototype MVPs, integrate systems and APIs, deliver high-performance frontends, collaborate with users, and deploy/test in secure operational environments.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The Senior Technical Recruiter will manage full-cycle recruiting, build talent pipelines, partner with stakeholders, and enhance candidate experience in a remote environment.

The AI Sales Director will drive sales for Wasabi's hot cloud storage solutions to AI/ML-focused clients, leveraging marketing resources and existing relationships.

The Enterprise Account Manager will acquire and grow top enterprise clients in the cybersecurity space, leveraging company resources and industry insights to enhance client engagement and address their cybersecurity challenges.

The Founding Revenue Manager for Adapt will represent the product, manage customer onboarding and success, and partner with the Chief Economist to drive product strategy.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.