Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation. Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track.
Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities.
Lead a distributed team of Customer Success Engineers in the Americas to drive GitLab adoption and technical value realization across a pooled book of business.
Lead a team of Customer Success Managers and Customer Success Architects focused on customer adoption, account health, customer satisfaction, and advocacy.
Designing and delivering GitLab reference architecture implementations for both self-managed and cloud environments, using infrastructure as code practices. Leading source code management and CI/CD migrations to GitLab, including large-scale enterprise moves using Congregate.
Build and execute strategic account plans that align GitLab’s AI-powered DevSecOps platform with public sector modernization initiatives. Navigate complex procurement and contracting processes while shaping multi-year technology roadmaps with CIOs and technical leaders.
Build and optimize automated nurture journeys and triggered emails, using segmentation and personalization to match each audience. Own programs from intake and planning through messaging, audience requirements, testing, QA, launch, and performance reviews.
Lead GitLab's talent brand strategy, translating our employer value proposition and company direction into clear, differentiated candidate messaging.
Own the SA operational toolkit and business requirements for systems, workflows, processes, reporting, and documentation. Partner with Revenue Technology, Revenue Analytics, and system owners on implementation, validation, data quality, and operational controls.
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