Lead the transformation from AI-curious to AI-native engineering practices across development teams.
Drive AI adoption by demonstrating measurable business value through hands-on enablement, training, and proof-of-concept initiatives.
Evaluate emerging AI tools and coding agents (e.g., Copilot, Claude Code, Codex) and provide data-driven recommendations tailored to Mail's engineering ecosystem and legacy infrastructure.
Define, track, and report on adoption KPIs, identifying opportunities and implementing strategies to accelerate usage and impact.
Foster a culture of AI innovation through communities of practice, knowledge-sharing forums, and recognition of successful use cases.
Design and implement technical frameworks for integrating AI tools into software development workflows, CI/CD pipelines, and engineering best practices.
Lead proof-of-concept initiatives to evaluate coding agents against standardized engineering tasks across multiple Mail teams.
Measure and optimize the performance, reliability, and cost-efficiency of AI tool deployments.
Stay at the forefront of AI advancements, identifying emerging technologies and opportunities that create strategic and competitive advantages.
Requirements
Experience with latest AI tech - Google Gemini, Anthropic Claude, Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot
8+ years of software engineering experience with proven expertise across multiple programming languages and paradigms
Deep hands-on experience with AI-powered development tools (GitHub Copilot, ChatGPT, Claude, etc.)
Strong understanding of LLMs, prompt engineering, and AI model capabilities/limitations
Experience with CI/CD, DevOps practices, and modern software development workflows
Proven ability to drive technical initiatives across large engineering organizations
Strong communication skills with the ability to create compelling narratives for different audiences
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against
Benefits
Vision insuranceFlexible schedule
Additional Information
Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It's the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.
A Little About Us
Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It's the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever. We're entering our next chapter: building the most consumer-focused platform for managing the "business of life," through email and beyond. You'll join a team of engineers dedicated to delivering the best consumer mail experience, meticulously refining every detail to make that vision a reality.
A Lot About You
You're driven by the opportunity to leverage AI to solve real business challenges and excited by the rapid evolution of the AI landscape. You stay at the forefront of emerging tools and technologies, constantly exploring what's next and translating innovation into practical value. As a champion for AI adoption, you help teams understand, embrace, and effectively use new capabilities. You have a knack for identifying high-impact opportunities, evaluating emerging technologies, and delivering measurable business outcomes through scalable AI solutions.
You excel at driving technical change across complex, large-scale engineering organizations. You don't just use AI tools; you understand how to efficiently integrate them into legacy codebases without disrupting velocity. You don't just evaluate AI tools - you operationalize them, establishing the workflows and frameworks that enable successful adoption at scale.
As a Staff AI Enablement Engineer, you'll help define how engineers work in the age of AI. Through technical leadership, hands-on experimentation, and cross-functional partnership, you will accelerate the adoption of AI-native development practices.