Top Tech Jobs & Startup Jobs in Jacksonville, FL

As a Payer Enablement Specialist, you will manage payer configurations in EMR, oversee fee schedules, ensure operational efficiency, and enhance documentation using AI while collaborating across teams.

Drive new business by outbound prospecting, networking, and account development. Manage complex enterprise SaaS/PaaS sales cycles, build senior relationships, close six-figure deals, and maintain accurate pipeline and forecasts in CRM.

The Sales Engineer will collaborate with Account Executives to provide technical expertise throughout the sales cycle, deliver product demos, and address customer needs with Gravwell solutions.

Manage and enhance the experience for VIP sports card collectors, ensuring prompt support, personalized service, and fostering a vibrant trading environment.

The Implementation Manager will oversee customer rollouts for Invert, managing complexities in bioprocess data implementations and driving customer adoption post-launch.

Partner with the CEO to drive strategic initiatives, prepare board and executive materials, support budgeting and performance reporting, build dashboards, analyze SaaS metrics, and coordinate cross-functional execution to improve organizational effectiveness.

Manage corporate tax provision (ASC 740), prepare and review tax reconciliations and returns (US, state, international), coordinate external advisors, maintain global compliance calendar, calculate estimated payments, and support R&D tax credit studies.

Manage and optimize Google Ads campaigns (Search, Shopping, Display, YouTube, Performance Max, Discovery) for multiple clients. Conduct keyword research, audience segmentation, bid adjustments, conversion tracking, A/B tests, and daily performance monitoring. Collaborate with account and creative teams, produce performance reports, and stay current on platform updates to drive growth-focused results.

Provide bilingual (Spanish) remote customer support: answer product/service questions, troubleshoot and resolve issues, document interactions, maintain product knowledge, and handle inquiries and complaints.

Build, train, fine-tune, evaluate, and deploy machine learning and LLM models for production. Create monitoring, evaluation, and feedback tooling, evaluate new techniques, and collaborate cross-functionally to ship ML-powered features.