About the role

Staff Software Engineer (AI Growth Lead) driving AI adoption across Coinbase and collaborating with various teams to implement AI solutions.

Responsibilities

Partner with leaders and teams across the organization to deeply understand workflows, identify pain points, and uncover high-leverage opportunities for AI automation and efficiency gains.
Apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows) that address business needs.
Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions aligned with long-term organizational goals.
Provide expert guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI into daily operations.
Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions.
Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions.
Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines.
Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders.
Continuously research and experiment with emerging AI models, tools, and industry best practices to bring cutting-edge solutions to Coinbase.

8+ years of experience in software engineering or a highly analytical, operational, or technical role
At least 1+ years focused on applied AI, Generative AI, or intelligent automation.
Strong understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts)
Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no-code/low-code automation platforms, agent frameworks LangChain/LangGraph, Python)
Proven ability to rapidly prototype and demonstrate working solutions.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture.
Strong technical skills in system design, coding, and debugging complex technical issues to enhance system reliability and scalability.
Demonstrated ability to understand complex business processes and translate them into technical requirements and AI opportunities.
Strong ROI-driven mindset with experience quantifying business value from technology initiatives.
Strong understanding of data privacy, security, and ethical considerations related to AI.