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Lead end-to-end Leave of Absence and Accommodations programs (FMLA, ADA, state leaves), manage vendor partnerships (Sparrow, Disclo), ensure compliance, partner with HRBPs, payroll and legal, improve People Ops processes and Workday data integrity, and support broader People Ops functions like onboarding, payroll, and policy administration.

Create and deliver internal communications and change messaging; partner with product, operations, and leadership to translate complex updates; maintain communication channels and cadence; author and maintain knowledge base articles and SOPs; audit and update documentation to keep communications and docs aligned and accurate.

Serve as primary contact for external pharmacy partners, manage shipping and billing escalations, investigate and report patient/pharmacy incidents, coordinate cross-functional resolutions, maintain shipping documentation, and improve logistics processes to meet operational targets.

Manage and coach a Patient Support team to meet SLAs and performance targets, oversee queues and workflows, resolve complex escalations, drive process improvements with cross-functional partners, and foster a collaborative team environment.

The Bilingual Customer Support Specialist will handle inbound calls to resolve issues, provide patient care, document calls, and improve patient experience while maintaining confidentiality.

Build and own production-grade features and APIs for Blink's pharmacy products. Diagnose and fix performance/production issues, write tests, perform code reviews, develop React components, and design, build, and deploy AI/ML solutions for personalization, triage, fraud detection, and automation. Mentor engineers, champion responsible AI adoption, and collaborate cross-functionally to deliver high-quality customer experiences.

Lead individual-contributor data science work to build predictive models, measurement frameworks, and AI-powered analytics. Partner with Product, Engineering, and Operations to translate insights into product strategy, define success metrics, automate analyses with agentic workflows, apply causal inference and experimentation, communicate findings to executives, and mentor other data scientists.