Coinbase is looking to become an "AI-Native" company by 2028 and needs an AI Growth Lead to drive AI adoption across non-engineering functions by identifying, prototyping, and scaling AI automation solutions.
Requirements
- 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.
- 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.
- Background in AI/LLM infrastructure is a plus.
Responsibilities
- 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.
- 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.
- Pilot new AI solutions with functional teams, gather feedback, iterate on prototypes, and support adoption to ensure demonstrable value and smooth transitions.
- Collaborate with central AI Platform and DevX teams to leverage existing infrastructure, contribute to shared knowledge bases, and ensure scalability and security of solutions.
Other
- 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.
- Act as an Internal Consultant & Accelerator
- 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.
