• Develop and evolve VELT's web platform; • Build and maintain internal APIs and external integrations; • Participate in integrations with suppliers and partners in the travel industry; • Support the migration of low-code flows to robust, code-based architectures; • Contribute to decisions on architecture, organization, and technical standards; • Develop scalable solutions focused on automation and operational efficiency.

• Own the AI-in-GTM strategy and roadmap. • Lead build-vs-buy at the portfolio level. • Define governance for AI solutions across GTM. • Architect and ship reusable GTM infrastructure. • Run AI pilots from POC to scaled adoption. • Drive AI enablement and adoption at org scale. • Build evaluation frameworks for production AI. • Lead cross-functionally without direct authority. • Represent the function to executive stakeholders. • Coach a growing team of builders. • Stay hands-on with design, build, and deployment of custom AI agents.

• Design, develop, test, and deploy software solutions integrated with or built upon the Sage ERP platforms. • Collaborate with stakeholders to integrate Sage with other systems and applications. • Assist partners with various implementation projects including but not limited to advanced CRM integrations and troubleshooting. • Customize the Sage system to align with the organization's unique business processes, chart of accounts, and reporting requirements. • Manage and manipulate financial data within Sage, including data migration, data validation, and data transformation tasks. • Create and maintain detailed documentation of system configurations, customizations, and integrations.

• Demonstrate total fluency in Ruby on Rails and at least one modern front-end environment, while maintaining the confidence and adaptability to work in any codebase on any platform by leveraging AI coding agents effectively. • Operate daily with Claude Code using structured, repeatable workflows: plan, decompose, implement, test, ship • Know when to trust AI output and when to verify it. You are the quality gate, not the rubber stamp • Review AI-generated code with discipline: know what patterns to trust, where to focus attention, and when to regenerate vs. fix manually • Use AI for planning before code exists: technical design, task decomposition, risk identification, and effort estimation • Serve as a technical resource for AI-augmented workflows across the engineering team, sharing playbooks, patterns, and tooling that help other developers level up • Build reusable agent skills, hooks, and guardrails that raise the team-wide baseline • Collaborate with product managers, front-end developers, and linguists across cross-functional teams • Participate in code reviews, sprint planning, and agile processes • Continuously research and evaluate new AI tools, models, and techniques with a framework for deciding what to adopt