About The Position

Landmark, a Halliburton company, is seeking a Head of Developer Experience to lead initiatives aimed at significantly improving the productivity of their engineering teams. This role is crucial for optimizing the software development lifecycle, from local development environments to release management, and for driving the adoption of modern tooling and AI-assisted development practices. The Head of Developer Experience will own the strategy and execution for enhancing the on-machine experience, the code-to-pre-production journey, and the release process, ensuring that artifacts handed off to SRE are consistently complete and validated. This position also involves leading a team of engineers and developer advocates, defining the strategy for agentic coding, and managing the organizational change required for effective AI tool adoption at scale.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related STEM discipline, or equivalent professional experience.
  • 12+ years of software engineering or engineering leadership experience, with demonstrated hands-on depth in software delivery practices.
  • 5+ years leading engineering organizations, with direct management of Engineering Managers or senior technical leads.
  • Deep, practical expertise in CI/CD systems, pipeline architecture, and modern software delivery at scale.
  • Demonstrated experience driving organizational change toward trunk-based development, continuous integration, or comparable delivery modernization.
  • Strong executive communication skills, with the ability to translate engineering practice improvements into business outcomes and represent technical needs to the CTO and peer leadership.
  • Track record of building and developing engineering talent, including hiring into and growing an existing team.

Nice To Haves

  • Direct experience building or leading a developer experience, platform engineering, or engineering productivity team.
  • Hands-on experience with remote development environments, such as GitHub Codespaces, Gitpod, Daytona, DevPod, or cloud dev boxes, at organizational scale.
  • Experience evaluating, procuring, and deploying AI-assisted development tools, including GitHub Copilot, Cursor, Cody, or agentic coding platforms, and driving their adoption across an engineering organization.
  • Familiarity with DORA metrics and engineering productivity measurement frameworks, and a track record of moving them in the right direction.
  • Experience working with enterprise IT and security functions to influence tooling policies, procurement processes, and access configurations on behalf of engineering velocity.
  • Background in or strong familiarity with software delivery in large-scale enterprise software environments where product complexity and compliance requirements create friction.
  • Experience designing and operating an engineering consulting or enablement model where teams influence adoption through embedded partnership rather than mandate.

Responsibilities

  • Own the on-machine development experience for Landmark engineers, including environment standardization, toolchain consistency, local build performance, and developer hardware strategy.
  • Drive adoption of cloud-based development environments, such as remote dev environments, dev containers, and cloud dev boxes.
  • Partner with IT to define and advocate for hardware procurement standards, software licensing policies, and security configurations that enable engineering velocity.
  • Own the CI/CD platform and pipeline strategy across Landmark engineering, focusing on build speed, test coverage gates, artifact management, and deployment to staging and pre-production environments.
  • Drive the organizational shift to trunk-based development and ‘develop small’ practices, including short-lived branches, frequent integration, feature flags, and incremental delivery.
  • Define and enforce inner loop quality standards, including automated test coverage thresholds, code review practices, PR size norms, and merge readiness criteria.
  • Own release management, including release pipeline automation, versioning strategy, staging environment management, release readiness criteria, and the process for producing a fully validated, production-ready artifact.
  • Define the DX/SRE handoff, including the content, format, and quality standard of the release-ready artifact, and partner with SRE to improve the reliability and speed of this interface.
  • Define and execute Landmark’s strategy for AI-assisted and agentic coding by identifying, evaluating, procuring, and deploying tools that materially accelerate how engineers work.
  • Advocate within Halliburton IT and security for policies and configurations that allow modern AI coding tools to operate effectively.
  • Build the organizational enablement program for AI tools, including training, consulting support, measurement of adoption and impact, and feedback loops.
  • Lead a substantial team of engineers, developer advocates, and platform specialists by hiring, developing, and building the team to meet the demands of this mission.
  • Build an embedded consulting and evangelism model where DX team members work alongside product engineering teams to drive adoption of better practices.
  • Define and track developer productivity metrics, including DORA metrics, inner loop cycle time, environment setup time, CI pipeline speed, and agentic tool adoption, and drive measurable, sustained improvement.
  • Represent developer experience priorities in executive planning, budget discussions, and cross-functional technology decisions.

Benefits

  • Competitive compensation including bonus and long-term incentive programs.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service