• 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

• You will design, build, and iterate on AI-powered product experiences across Fleetio’s Rails and React application. • You will partner closely with Product, Design, Data, Customer Success, and other engineers to identify customer problems where AI can meaningfully improve the workflow. • You will create high-quality front-end experiences using Fleetio’s current React, TypeScript, Vite, Storybook, Tailwind, and component patterns, while caring deeply about accessibility, usability, maintainability, and performance. • You will work across the stack, including Rails APIs, database-backed product workflows, AI integration points, prompts, evaluation flows, observability, and customer-facing UI. • You will prototype quickly, learn from experiments, and help the team decide when to iterate, harden, or discard an approach. • You will review code and designs with a strong eye for user experience, front-end quality, correctness, readability, performance, security, and long-term maintainability. • You will mentor other engineers in React, TypeScript, Rails, AI tooling, experimentation, and pragmatic product engineering practices.