Teams at XM

Leads responsible AI adoption across software development and quality assurance. Researches and benchmarks AI tools, prototypes use cases, supports pilots, and translates successful solutions into development practices, standards, governance, and tooling. Advises on AI throughout the SDLC, measures impact, assesses team maturity, develops enablement materials, and collaborates with senior stakeholders, vendors, and industry communities.

Gather, document, analyze, and manage business and technical requirements; evaluate current and future processes, identify gaps, collaborate with stakeholders and developers, manage requirement changes, and test software and business processes against specifications.

Lead a platform engineering team while designing, implementing, and improving cloud infrastructure, CI/CD pipelines, automation, and Kubernetes environments. Responsibilities include maintaining GitLab CI libraries, supporting development teams, enhancing observability and deployment practices, remediating vulnerabilities, and mentoring team members. The role requires hands-on expertise across AWS, Linux, Windows, infrastructure as code, scripting, networking, and enterprise Kubernetes, along with people-management responsibilities.