Jobs at CertifyOS

Lead CertifyOS’s Applications product portfolio, including Credentialing, Monitoring, Provider Tools, and Applied AI. Own product strategy, roadmap, execution, investment prioritization, and business outcomes while partnering with engineering, design, operations, sales, and customer success. Lead and mentor product managers, improve operating practices, develop next-generation applications, and define agentic product and go-to-market strategies. The role requires strong product leadership, ambiguity management, cross-functional execution, and experience scaling teams in growth-stage or SaaS environments.

Lead multiple client implementations and onboarding projects from contract execution through go-live. Coordinate cross-functional teams, guide clients through implementation tasks, deliver platform training, and maintain a seamless client experience. Develop expertise in provider licensing, credentialing, and provider data management while managing timelines, reporting, presentations, and stakeholder communications.

Own CertifyOS’s brand identity, content strategy, editorial calendar, owned media channels, events, employer brand, and corporate communications. Develop thought leadership, manage LinkedIn, newsletters, podcasts, and executive ghostwriting, while building scalable content operations and measuring channel performance. Partner cross-functionally to strengthen market positioning, support pipeline generation, attract talent, and establish CertifyOS as an industry authority.

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.

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.