Top Tech Jobs & Startup Jobs

Lead and scale Cloudbeds' Mid-Market Onboarding function, managing end-to-end onboarding from handoff to go-live, building frameworks, SOPs, and metrics, coaching a distributed team, ensuring deployment quality and velocity, partnering cross-functionally, and improving early lifecycle retention for complex multi-property customers.

Lead a remote customer onboarding team serving SMB hospitality clients. Responsibilities include coaching and developing onboarding coaches, improving onboarding processes through AI and modern tools, managing customer portfolios and retention goals, resolving escalations, partnering with Sales, Product, and Support, tracking success metrics, supporting adoption, demonstrating ROI, and identifying upsell opportunities.

Lead the SMB Customer Onboarding team, mentoring coaches, managing performance and development, and improving onboarding outcomes. Oversee customer portfolios and retention goals, analyze customer data, handle escalations, and collaborate with Sales, Product, and Support. Drive AI and tooling adoption, standardize processes, personalize customer guidance, track success metrics, promote product value, and identify retention and upsell opportunities.

Handle customer billing and subscription inquiries via email and phone, manage cancellation exit interviews, process credits/refunds, analyze billing ticket trends, contribute to knowledge base and cross-team issue resolution, and support month-end billing tasks.

Handle billing and subscription inquiries via email and phone, manage cancellation exit interviews, process credit/refund requests, escalate complex issues, collaborate with cross-functional teams to resolve subscription bugs, analyze billing trends, contribute to support documentation, and assist with month-end billing tasks to improve customer experience and accuracy.

Design and implement PHP backend features, APIs, integrations, and data models for a high-volume booking platform. Own service performance, scalability, reliability, and testing while helping migrate the platform to microservices and event-driven architecture. Lead technical decisions, refactor systems, document solutions, collaborate cross-functionally, mentor engineers, and promote engineering best practices. The role is remote and supports globally distributed teams.

Design, deploy, and maintain production-grade ML systems for hotel revenue management. Build data pipelines, implement and validate models, establish MLOps practices (CI/CD, orchestration, monitoring), define SLIs/SLOs, and collaborate with product and engineering to drive scalable, reliable ML-driven pricing features.

Owner of end-to-end ML systems for revenue management: design, deploy, and maintain production-grade models and data pipelines. Define ML testing, SLIs/SLOs, monitoring and drift detection. Collaborate with product and engineering, mentor engineers, and ensure scalable, reliable ML-powered pricing and revenue features for hotel customers.

Design, build, and maintain production-grade ML systems for revenue management. Own end-to-end ML lifecycle: data pipelines, model development, deployment, monitoring, and testing. Collaborate with product and engineering, define SLIs/SLOs, mentor engineers, and drive technical strategy to deliver scalable, reliable pricing and revenue-optimization features.

Design, deploy, and maintain production-grade distributed ML systems for revenue management. Build data pipelines, implement and validate models, establish MLOps practices (CI/CD, orchestration, monitoring), define SLIs/SLOs, and collaborate with product and engineering to drive model reliability and business impact.