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Provides customer service and support to healthcare provider accounts through calls, email, and chat. Resolves issues, promotes platform features, identifies upsell opportunities, maintains accurate interaction records, and helps providers maximize Zocdoc’s marketplace services.

The job description provides limited role-specific details. The Platform Engineering Manager would presumably lead platform engineering efforts supporting Zocdoc’s digital healthcare marketplace, collaborating with teams to build reliable, scalable infrastructure and platform capabilities.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Drive enterprise sales by sourcing, developing, and closing partnerships with large health systems. Own full sales cycles, influence executive and multi-disciplinary stakeholders, build account and territory strategies, forecast pipeline, and partner cross-functionally to ensure successful implementations. Regular field travel (up to 75%) and executive presentations required.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead and grow a frontend platform team owning Zocdoc's accessible React component library and design system. Define roadmap and technical strategy, drive adoption across web and mobile, institutionalize accessibility and quality, mentor engineers, partner with UX/Product/Analytics, and deliver platform improvements that speed frontend and mobile development.

Lead architecture and scaling of an automated, AI-driven vulnerability detection and remediation platform across cloud, containers, and applications. Correlate SAST/DAST/SCA findings, implement AI-assisted triage, run red/purple team validation, and build automated remediation pipelines integrated into CI/CD for continuous compliance and risk reduction.

Partner with engineering, compliance, and security teams to embed application security into the SDLC: triage static/SCA alerts, advise on OWASP Top 10 remediation, maintain developer playbooks and training, track security metrics and evidence for audits, and help shape AI governance and GenAI-safe workflows.