Jobs at CertifyOS

Lead architecture and implementation of CertifyOS's full‑stack application layer. Define frontend and backend patterns, API contracts, performance boundaries, async UX, AI integration, observability, and engineering practices. Mentor engineers, drive cross‑functional initiatives, and ensure scalable, reliable enterprise B2B product experiences.

Lead and scale CertifyOS's marketing organization to drive predictable pipeline and revenue. Build demand generation across paid, content, SEO, ABM, events, and digital programs; own product marketing, positioning, and launches; establish marketing analytics, attribution, and forecasting; hire and mentor a high-performing team; and partner cross-functionally to align growth, adoption, and retention with company OKRs.

Build and maintain scalable data infrastructure and ETL/ELT pipelines from Firestore/Spanner into BigQuery. Own reporting, automated exports, and dashboard delivery using Looker/Tableau/Superset. Guide dashboard best practices, support product analytics, mentor analysts, and drive data strategy across the company.

Process and validate provider credentials, licenses, and payor enrollments; research licensure and CME rules; complete applications; communicate with providers and clients; support implementations and draft clear guideline documents.

Own top-of-funnel outbound prospecting for US healthcare payers: map accounts, identify stakeholders, execute multi-channel outreach, qualify opportunities, book and prep high-quality meetings, maintain CRM data and reporting, meet monthly pipeline targets, and collaborate with BD and marketing on messaging and segmentation.

Build and maintain scalable, production-grade systems; own end-to-end feature delivery; influence architecture; improve reliability, performance, and code quality; collaborate with product; participate in on-call and incident response; follow security best practices for sensitive data.

Own the operational lifecycle of cloud-native data infrastructure: design and automate reliable deployments, observability, incident response, SLIs/SLOs, autoscaling and IaC, and improve platform efficiency and data freshness across GKE and Cloud Run.