• Develop MLIR-based graph representations and optimizations for future GPU architectures • Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features • Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work

• Build and run AI agent workflows involving LLMs and tools to automate multi-step processes • Build orchestration services that coordinate model calls, tools, and human review • Develop APIs that expose AI agents to internal apps and UIs or equivalent experience • Connect existing ETL and data pipelines as tools and context for agents • Construct simple web or chat interfaces for workflows powered by artificial intelligence • Ensure scalability, performance, and security of AI services and data flows.

• Partner with BusPatrol’s senior leaders to execute the company-wide AI operational transformation strategy; lead executive reviews of AI outcomes to inform strategy and investment decisions • Own the day-to-day execution of the overall AI Transformation roadmap for our company, in close partnership with strategy owners and technical leaders • Spearhead the deployment and integration of advanced AI and machine learning capabilities across the company, embedding tools such as LLMs and generative AI into critical processes • Serve as an internal AI thought leader, staying on top of emerging AI trends, tools, and best practices, and translating them into practical, high-impact applications for BusPatrol • Partner with business leaders across functions to surface, evaluate, and prioritize AI opportunities aligned with strategic goals, building strong cross-functional relationships with senior stakeholders • Translate business challenges into scalable AI/ML solutions that drive revenue, efficiency, quality, and customer engagement, including use cases that enhance the software development lifecycle (SDLC) and engineering workflows • Focus on the highest-impact use cases by assessing feasibility, value potential, and strategic alignment • Lead cross-functional teams across business, product, engineering, and operations to scope, validate, and launch AI solutions with measurable ROI • Independently develop and iterate on AI MVPs using low-code/no-code tools and prompt-based workflows, while partnering with technical teams to harden and scale successful solutions • Collaborate closely with the BusPatrol AI Solutions Architect to design, deploy, and operationalize AI solutions enterprise-wide • Maintain an enterprise AI use case portfolio, including business case, feasibility, and implementation roadmap • Design and implement frameworks and KPIs to measure business value from AI initiatives • Partner with the cross-functional AI Enablement Working Group to establish, operationalize, and continuously improve the AI governance framework and processes, enabling safe, responsible, and high-impact AI adoption with minimal friction • Partner closely with the Chief Information Security Officer (CISO) and Security teams to ensure AI solutions are deployed responsibly and safely, with appropriate controls and risk management in place • Define the AI Cultural framework and champion the AI mindset at BusPatrol • Drive change management and adoption of deployed AI solutions, ensuring teams understand how AI fits into their workflows and how to use it effectively • Create tailored education materials, quick-reference guides, and enablement content that resonate with BusPatrol leaders and their teams, ensuring clarity, relevance, and impact • Deliver engaging presentations, demos, and coaching sessions to BusPatrol leadership and their staff, translating complex technology into business-relevant insights • Set up and lead a network of cross departmental AI Champions to scale adoption across the organization • Partner with product management and engineering leaders to identify how AI can be incorporated into BusPatrol’s products and platforms over time, helping shape a later-phase roadmap for AI-powered product enhancements

• Craft exceptional copy for product launches, feature announcements, pricing & packaging, and campaigns across all channels (web, email, in-app, social, and more). • Write like a human for fellow humans. You can explain groundbreaking tech without sounding like you're explaining groundbreaking tech. • Own tight iteration loops with PMM, Content, Creative, and Web teams: write drafts, incorporate feedback quickly, and maintain version control in Docs/tasks until final. • Use qualitative and performance inputs to validate and refine messaging (user feedback, internal reviews, and post-launch learnings). • Operationalize learnings into scalable workflows: templates, prompt libraries, and Super Agent workflows that help the broader marketing org draft, QA, and update high performing copy faster while staying on brand.