• Lead the new Engineering, Architecture and Transformation pillar as part of the ELT, setting a clear vision for horizontal engineering excellence across GitLab. • Drive the definition, adoption and continual improvement of engineering best practices, partnering with Product, PMO and vertical engineering leaders to raise quality, reliability and delivery consistency. • Own the "Customer Zero" charter by championing internal use of GitLab, unblocking teams and directly contributing to code when needed to validate workflows and accelerate critical initiatives. • Define and guide the transition to next-generation, AI-optimized architecture, including the design and rollout of core primitives that enable vertical teams to decouple legacy systems and scale for ultra-scale customers. • Build and lead the Architecture, Quality and Engineering Excellence team to deliver non-linear productivity gains through AI-assisted development, including tools such as Claude Code and GitLab Duo. • Establish and manage the Horizontal Engineering team as a flexible, embedded group that joins target teams, gains deep context in their codebases and delivers high-impact features and fixes during US business hours. • Collaborate across the ELT and senior leaders to identify systemic horizontal challenges, prioritize cross-cutting initiatives and ensure clear technical ownership and accountability for their execution. • Champion an operationally frugal mindset by aligning AI and architectural decisions with cost of goods sold optimization, while maintaining high availability, service reliability targets and a strong culture of engineering excellence.

• Lead, mentor, and manage your team through the successful delivery of valuable customer software • Drive collaboration across technology teams to foster innovation • Strengthen and drive engineering processes using TDD, BDD, Microservice, and Vertical Slice Architectures • Partner closely with Product Management to provide technical guidance on software design • Support live applications by promoting proactive monitoring and rapid incident response

• Write and ship production code weekly—you'll be in the codebase alongside your team • Drive a culture of shipping speed and continuous improvement—identify bottlenecks, reduce cycle times, and treat fast iteration as the primary mechanism for achieving quality in a regulated environment • Build internal tools that give clinical and operations users visibility into AI decision-making, with appropriate guardrails, permissions, and correction workflows • Work closely with an embedded AI engineer who owns prediction model quality, while you own the production systems, user-facing workflows, and speed gains that depend on those predictions • Lead incident response and postmortems for team-owned systems; ensure failures result in durable fixes, not patches • Mentor 3 engineers through building together—pairing, code review, and architectural decisions made in the context of real work • Establish and maintain system reliability standards: monitoring, alerting, and continuous improvement loops that catch problems before users do

• Manage and develop a team of engineers, providing regular feedback and supporting growth • Collaborate closely with product, design, and engineering leadership to define goals • Provide guidance throughout the project lifecycle from ideation to post-launch • Foster a psychologically safe environment for learning and experimentation • Work across team boundaries contributing to projects outside your team’s scope