Top Tech Jobs & Startup Jobs

Supports member, patient, provider, and consumer engagement marketing across lifecycle communications, onboarding, education, digital adoption, and self-service programs. Coordinates multichannel campaign deliverables, approvals, compliance reviews, accessibility checks, launch readiness, and documentation. Tracks engagement and experience metrics, identifies journey gaps, supports optimization recommendations, and develops reusable content resources and AI-enabled workflows while collaborating with cross-functional teams.

Leads enterprise AI transformation across Medicare shopping, sales, agent, partner, and support experiences. Owns the unified product portfolio strategy, roadmap, AI voice and conversational IVR experiences, cross-channel journey continuity, shared knowledge and orchestration capabilities, responsible AI governance, measurement, and operational readiness. Partners with engineering, architecture, data, design, compliance, and operations teams to deliver scalable AI-enabled products, improve customer and employee experiences, and develop a multidisciplinary product organization.

Lead development of scalable full-stack applications using Python and React or Angular, including production-grade AI and agentic AI solutions. Own architecture, APIs, databases, testing, CI/CD, cloud deployment, observability, security, and production support. Deploy Azure cloud-native applications using containers and Kubernetes, implement monitoring and reliability controls, and lead technical deliveries with global cross-functional teams.

Supports large-scale enterprise Mainframe operations across multiple LPARs, handling high-volume batch requests, monitoring SLAs, executing workload automation and maintenance changes, and escalating operational issues. The role supports CICS, DB2, and WLAaaS environments, uses ServiceNow and approved AI tools to improve workflows, and enforces physical security protocols during onsite data center operations. Requires full-time onsite night-shift work.

Leads consumer-facing digital products supporting Medicare research, comparison, enrollment, and digital-to-agent journeys. Responsibilities include product lifecycle management, backlog prioritization, requirements, release planning, cross-functional delivery, KPI and funnel analysis, user research, optimization, resource planning, and team leadership. The role partners with Engineering, UX, Research, Marketing, Analytics, Compliance, and Telesales to improve web, mobile, enrollment, and decision-support experiences.

Leads leadership development for IT Support Services by assessing capability needs, designing curricula and learning pathways, governing learning solutions, facilitating leadership programs, coaching leaders, measuring outcomes, and driving AI literacy and adoption. Partners with stakeholders, instructional designers, and content developers to improve leadership effectiveness, workforce capability, and operational performance.

Build, evaluate, optimize, and deploy machine learning models for healthcare applications. Analyze healthcare datasets, conduct A/B experiments and statistical analysis, establish scalable ML development and serving processes, research innovative AI approaches, and collaborate with software engineers. Mentor and recruit AI/ML professionals, present findings to leadership, and pursue intellectual property through cutting-edge AI research.

Provides comprehensive administrative support to leadership, including calendar and meeting management, travel arrangements, expense tracking, confidential information handling, event coordination, document preparation, office communications, and technology setup. The role also supports broker meetings, onboarding, reporting, distribution lists, and occasional employee administration in a fast-paced corporate environment.

Supports end-to-end product marketing execution for the Network team, including sales enablement, client retention materials, asset library management, content customization, stakeholder coordination, project reporting, and escalation management. The role requires managing multiple marketing deliverables across Legal, Compliance, Product, Strategy, and client teams within a matrix organization.

Designs, develops, evaluates, deploys, and maintains machine learning, deep learning, generative AI, and LLM-powered systems. Builds data pipelines, MLOps processes, RAG applications, agentic workflows, evaluation frameworks, guardrails, and structured output validation. Collaborates with data scientists, software engineers, and product managers to deliver reliable AI products and stays current with emerging AI technologies.