Jobs at K Health

Supports the CEO and CPO by managing complex calendars, meetings, travel, expenses, vendors, and special projects. Owns daily NYC office operations, including supplies, facilities coordination, events, onboarding logistics, employee communications, and guest experiences. The role requires strong organization, proactive judgment, communication, and proficiency with workplace collaboration tools.

Build and operate reliable, privacy-focused full-stack products for AI-powered virtual clinics. Develop front-end clients and Kotlin/JVM backend services, resilient GraphQL APIs, reusable frameworks, and multi-tenant solutions. Enforce performance, accessibility, security, and clinical-grade quality standards; modernize systems with agentic AI tools; resolve complex technical issues; and mentor engineers. Work onsite in New York City four days per week.

Own and evolve Kubernetes and cloud infrastructure across GCP, AWS, Cloudflare, and partner environments. Build Terraform modules and GitLab CI/CD templates, operate self-hosted infrastructure, implement security and compliance controls, lead disaster recovery planning and testing, improve reliability, and develop AI-powered operations tooling. The role includes incident response, on-call participation, cross-functional collaboration, infrastructure leadership, and mentoring junior DevOps engineers.

Oversee HR operations and compliance across leave management, employment laws, HRIS administration, benefits, payroll, global mobility, immigration, tax notices, audits, and employee relations. Manage benefits enrollment and vendors, ensure accurate multi-state payroll, support immigration frameworks, maintain compliant policies and documentation, and advise HR partners on complex employee relations investigations.

Hands-on Security Operations Engineer responsible for threat detection, incident response, security automation, endpoint and identity management, cloud infrastructure security, and SOC 2/HIPAA compliance. The role administers tools such as Sumo Logic, Jamf, Intune, Slack Enterprise, CrowdStrike, and Torq; investigates incidents; performs root-cause analysis; hardens systems; and partners with IT and engineering teams to enforce zero-trust controls and protect patient and organizational data.

Analyze strategic business problems using SQL, Python, statistics, data science, and AI tools. Develop KPIs, self-service analytics, automated monitoring, dashboards, and AI-powered workflows. Partner with Product, Operations, Marketing, Finance, and Clinical Operations to identify opportunities, generate actionable insights, improve forecasting, and support strategic decisions. Communicate recommendations to leadership and build scalable, data-driven operational processes.

Lead the analytics function and Strategic Insights Analysts, owning the analytics roadmap, KPI standards, self-service Looker strategy, and AI-driven automation. Partner with Product, Clinical Operations, Marketing, and Finance executives to prioritize analyses and guide strategic decisions. Build scalable operating models, deploy AI agents and LLM pipelines, improve data quality and monitoring, mentor the team, and translate complex analysis into actionable recommendations. The role requires onsite work in New York City four days per week.

Lead AppSec across the SDLC: design and implement application security controls, perform hands-on testing of web apps/APIs/cloud services, integrate automated security tooling into CI/CD, reduce developer friction, review architecture and code, support vulnerability management and incident response, evaluate third-party risks, and ensure healthcare regulatory compliance (e.g., HIPAA, GDPR).

Lead provider operations teams managing licensing, credentialing, onboarding, workforce management, scheduling, and provider support. Build scalable processes, define KPIs and dashboards, develop managers, and partner cross-functionally to launch markets and ensure provider readiness from offer acceptance through first patient.

Lead People strategy as an executive partner to scale corporate and clinical teams from ~80 to 200+ providers. Build clinician career architectures, oversee talent lifecycle (TA, onboarding, performance, rewards), implement people analytics and HR systems, drive culture, inclusion, retention, and organizational design during high-growth expansion.

Lead design and delivery of reliable, privacy-first full‑stack systems for clinical AI products. Architect reusable frameworks, own end-to-end features (clients to Kotlin/JVM backends), enforce performance and security standards, mentor engineers, and modernize platform tooling including agentic AI developer tools.

Own clinician-facing products that surface AI-gathered patient context, support decision-making, and reduce documentation burden. Partner with engineering, ML, clinical, and design teams to build explainability, review/override workflows, and measurable workload reductions. Validate workflows with practicing physicians and lead safety and escalation protocols with partners.