Top Healthtech Jobs in Tampa Bay, FL

Leads product marketing for Pfizer’s internal AI platforms, owning positioning, segmentation, go-to-market planning, launches, demand generation, messaging governance, responsible AI communications, and adoption metrics. Translates technical capabilities into audience-specific campaigns, produces creative assets, coordinates legal and regulatory review, and partners with product, training, community, analytics, and communications teams to increase platform use and retention.

Manage and grow Imprivata’s North American channel partner network, including recruiting, business planning, enablement, sales training, quarterly business reviews, and revenue performance. Collaborate with regional sales managers to achieve targets, expand opportunities in healthcare and commercial markets, and position Imprivata’s mobility and identity and access management solutions. Travel to customers and partners is expected for 10% to 25% of the role.

Enrolls Medicare beneficiaries in skilled nursing facilities into UnitedHealthcare’s Institutional Special Needs Plan. Generates leads, educates facility personnel and residents, develops account strategies, meets enrollment targets, documents sales activity for Medicare compliance, and manages local territory relationships. The field-based role requires extensive travel, health insurance licensure, sales or skilled nursing facility experience, flexible scheduling, and transportation.

Own the revenue operating model for a core B2B business unit, including GTM planning, targets, quotas, territories, capacity, funnel design, forecasting, and pipeline reviews. Partner with Sales, Marketing, Product, and Finance to improve growth economics, refine ICP strategy, and translate performance data into executive decisions. Lead cross-functional planning and manage a team while supporting the transition from growth to scalable execution.

Build scalable, secure data pipelines, models, platforms, and governance systems that enable AI applications to access trusted enterprise data. Partner with analytics, marketing, and product teams to translate requirements into technical solutions, independently deliver projects through production, and support sensitive-data security and access controls. Preferred experience includes LLM architectures, cloud data platforms, infrastructure as code, regulated environments, and technical leadership.

Recruit clinicians by reviewing applications, conducting interviews, assessing clinical and operational fit, maintaining accurate applicant-tracking records, and coordinating candidate handoffs through offer and onboarding stages. The role focuses on delivering an excellent candidate experience while identifying therapists and psychologists passionate about serving older adults. This is a remote, part-time position requiring strong interpersonal judgment, organization, flexibility, and the ability to manage frequent interviews in a fast-paced environment.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Own the full lifecycle of provider and client user engagement, including onboarding, training coordination, change enablement, proactive outreach, and relationship management. Serve as the primary provider contact, monitor portfolio performance, coordinate implementations, support prior authorization workflows, and recommend improvements that increase adoption, auto-approval rates, clinical quality, and compliance. Collaborate with internal teams, health plans, compliance, and legal while managing high-volume provider onboarding initiatives.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.