Coinbase

AI Growth Lead (AI Automation DRI)

Coinbase

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $218,025 - $256,500 per year

Job Level

Senior

Tech Stack

GoMicroservicesPython

About the role

  • Lead AI Opportunity Discovery: 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. Translate complex business challenges into actionable AI use cases.
  • Design & Prototype AI Solutions: 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. Write high-quality, well-tested code in Python and Golang to support these solutions.
  • Deploy Sustainable Solutions: Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions aligned with long-term organizational goals.
  • Act as an Internal Consultant & Accelerator: Provide expert guidance on AI capabilities, responsible AI usage, prompt engineering best practices, and strategic integration of AI into daily operations. Mentor team members on design principles, coding standards, and AI productivity tools adoption.
  • Drive Adoption & Enablement: Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions.
  • Collaborate with Core AI Teams: Partner with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions.
  • Ensure Responsible AI: Work with Security, Legal, and Compliance teams to ensure all AI solutions adhere to strict security, privacy, and ethical guidelines, especially for sensitive data and high-risk workflows.
  • Measure & Communicate Impact: Define success metrics, track ROI, and effectively communicate the value delivered by AI initiatives to stakeholders.
  • Stay Ahead of the Curve: Continuously research and experiment with emerging AI models, tools, and industry best practices to bring cutting-edge solutions to Coinbase.

Requirements

  • 8+ years of experience in software engineering or a highly analytical, operational, or technical role, with at least 1+ years focused on applied AI, Generative AI, or intelligent automation.
  • Deep AI & Automation Expertise: 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., Gemini/Claude, no-code/low-code automation platforms, agent frameworks LangChain/LangGraph, Python).
  • Proven ability to rapidly prototype and demonstrate working solutions.
  • Background in AI/LLM infrastructure is a plus.
  • Strong Software Engineering Skills: Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture.
  • Ability to write high-quality, well-tested code that meets customer needs.
  • Strong technical skills in system design, coding, and debugging complex technical issues to enhance system reliability and scalability.
  • Exceptional Business Acumen: 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.
  • Familiarity with financial services, crypto, or high-growth tech environments is a plus.
  • Consulting & Influence Skills: Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences.
  • Proven track record of influencing stakeholders and driving adoption of new technologies or processes in a matrixed organization.
  • Problem-Solving & Agility: Highly analytical and structured problem-solver, comfortable with ambiguity and rapid iteration.
  • Ability to manage multiple parallel initiatives and prioritize effectively in a fast-paced environment.
  • Collaboration & Risk Awareness: Experience working cross-functionally with legal, security, compliance, and engineering teams.
  • Strong understanding of data privacy, security, and ethical considerations related to AI.
  • Nice to Have: Experience in a BizOps, Data Science, Data Engineering, or Product Engineering role with a strong focus on automation.
  • Prior experience building or implementing AI agents or advanced workflow automation solutions.
  • Active participation in the broader AI community (e.g., open-source contributions, conference presentations).