Top Tech Jobs & Startup Jobs

Lead product management for US healthcare IT products: define vision, strategy, and roadmap; own backlog execution; collaborate with UX, engineering, and business; use data to build business cases; drive demos, value delivery, and process improvements; apply payer/provider knowledge including Medicaid, coding, and risk adjustment.

Lead product management for a US healthcare IT product portfolio: define vision and roadmap, own backlog execution, collaborate with UX and engineering, build business cases using data, drive demos and continuous improvement, prioritize features, mitigate risks, and leverage enterprise AI tools to enhance productivity and innovation.

Lead architecture and technical strategy for an agentic AI claims automation platform. Define end-to-end architecture, enable multi-agent workflows, integrate models and MLOps, ensure governance, resilience, observability, and cost efficiency, and mentor architects while aligning with enterprise AI standards.

The role involves developing cloud-based contact center solutions, integrating AI technologies, maintaining SIP applications, and implementing CI/CD processes while ensuring security and compliance.

Lead design, development, and maintenance of Splunk SOAR playbooks, automations, and custom actions. Integrate SOAR with security tools and cloud platforms, deploy AI-assisted analyst workflows, identify automation opportunities with SOC and incident response teams, mentor analysts, and evaluate emerging AI and security automation trends.

Manage member, patient, provider, and consumer engagement marketing programs across onboarding, activation, education, digital adoption, retention, and value realization. Develop lifecycle communications and coordinate integrated campaigns across digital, email, mobile, web, print, direct mail, contact center, and pharmacy channels. Partner cross-functionally on segmentation, personalization, journey mapping, testing, analytics, compliance, and optimization while monitoring engagement, utilization, NPS, adoption, and retention metrics.

Leads AI-assisted site reliability engineering across Azure and AWS. Designs observability, incident response, automation, resiliency testing, disaster recovery, chaos engineering, and recovery-validation capabilities. Establishes OpenTelemetry, SLI, SLO, error-budget, and reliability-scorecard standards; improves alert quality and operational insights; creates human-in-the-loop mitigation workflows; and mentors engineers while driving cross-functional reliability improvements.

Analyzes pay-for-performance incentive processes, validates incentive data, identifies trends and root causes, and develops actionable reporting. Partners with stakeholders, developers, and consultants to resolve data and process issues, improve workflows, maintain documentation, support audits and compliance, and execute recurring incentive processes accurately and on time. The role also contributes to process standardization, training, change activities, and scalable controls in a high-volume regulated environment.

Lead end-to-end generative AI and machine learning initiatives, designing secure and scalable architectures, developing and deploying advanced models, analyzing healthcare data, conducting experiments, and establishing MLOps processes. Research emerging AI methods, promote responsible AI practices, and mentor or recruit AI and machine learning talent. Collaborate with software engineers to productionize models and deliver reusable capabilities for healthcare solutions.

Manage audience growth and retention marketing initiatives from planning through execution, measurement, optimization, and leadership reporting. Develop integrated multichannel campaigns and lifecycle programs supporting acquisition, conversion, engagement, digital adoption, cross-selling, and retention. Coordinate teams across digital, email, mobile, CRM, media, analytics, creative, legal, and compliance. Use segmentation, personalization, testing, and performance insights to optimize customer journeys and improve business outcomes.