Top Tech Jobs & Startup Jobs in Jacksonville, FL

The Prenatal Account Executive drives sales of genetic testing products in healthcare settings, building key relationships and executing strategic business plans to enhance market presence and client satisfaction.

Lead and build GRAI's artist relations function: define strategy, develop onboarding and co-marketing frameworks, run high-value relationships, hire and lead the team, and translate artist insights into product and marketing decisions while partnering across the company.

Partner with Account Executives to drive enterprise LATAM deals: lead technical discovery, run demos and PoVs, validate solutions, own technical deal strategy and post-close handoffs, and collaborate with product and customer success to ensure value realization and expansion.

In this role, you will define and execute the go-to-market strategy, drive growth, and lead customer success efforts at Reflow, a workplace intelligence platform.

Invitation to join LPR International's candidate network — upload your resume and cover letter for matching to future job opportunities. Recruiters will review submissions, encourage periodic re-checks, and provide contact options for alternative application methods. Includes social links and an Equal Opportunity Employer statement.

Manage client relationships for 6-10 accounts in digital health, develop marketing strategies, oversee campaign execution, and analyze performance data.

As the Head of Capital Markets, you will own the funding stack, manage lender origination, financial modeling, negotiations, and ongoing compliance reporting, directly engaging with investors and shaping capital strategies.

As an Account Manager at Flex, you'll manage client relationships, drive account growth, analyze customer needs, and collaborate across teams to enhance customer success.

The Support Specialist ensures technical delivery for digital news platforms, resolves issues, leverages AI tools, and supports multiple television markets in operations.

The role involves developing and deploying machine learning models for forecasting within the Camus platform, requiring collaboration and technical depth in ML.