AI Growth Lead (AI Automation DRI)

Details

Coinbase is on a mission to become an "AI-Native" company by 2028 and is hiring an AI Growth Lead (individual contributor) to drive AI adoption across the organization. You will partner with non-engineering functions (e.g., Finance, HR, Legal, Operations, Marketing, Security) within AI Growth Pods to identify, prototype, and scale high-impact AI automation solutions, serving as the AI Automation DRI for assigned pods and driving initiatives from ideation through productionalization while ensuring measurable ROI.

Responsibilities

• Lead AI opportunity discovery: partner with leaders and teams across the organization to understand workflows, identify pain points, and translate business challenges into actionable AI use cases.
• Design & prototype AI solutions: apply generative AI techniques (including LLMs and Agentic AI) to rapidly design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots, intelligent workflows). 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 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 tool 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 AI solutions adhere to security, privacy, and ethical guidelines, especially for sensitive data and high-risk workflows.
• Measure & communicate impact: define success metrics, track ROI, and communicate 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.

Requirements

• Experience: 8+ years in software engineering or a highly analytical/operational/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 (examples called out: enterprise LLMs like Gemini/Claude), no-code/low-code automation platforms, and agent frameworks such as LangChain and LangGraph. Proven ability to rapidly prototype and demonstrate working solutions. Background in AI/LLM infrastructure is a plus.
• Strong software engineering skills: proven expertise designing, building, scaling, and maintaining production services (microservices architecture). Ability to write high-quality, well-tested code, and debug complex technical issues to enhance reliability and scalability.
• Business acumen: ability to understand complex business processes and translate them into technical requirements and AI opportunities. ROI-driven mindset and 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; ability to articulate complex technical concepts to non-technical audiences and influence stakeholders in a matrixed organization.
• Problem-solving & agility: highly analytical, comfortable with ambiguity and rapid iteration, able to manage multiple parallel initiatives and prioritize effectively.
• 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: BizOps, Data Science, Data Engineering, or Product Engineering experience focused on automation; prior experience building or implementing AI agents or advanced workflow automation solutions; active participation in the broader AI community (open-source contributions, conference presentations).

Compensation & Logistics

• Pay Range: $217,900—$217,900 CAD (target annual salary). Full-time offers also include bonus eligibility, equity eligibility, and benefits (medical, dental, vision).
• Job ID: GPBE06US-AI
• Work model: Remote-first; in-person participation is required throughout the year for team and company offsites. (#LI-Remote)

Benefits

• Extended Health Care Benefit (coordinates with Provincial Coverage)
• Dental Care
• Vision Care
• Consult+ (Virtual Health Care)
• Life & Accident Insurance
• Disability Coverage
• Employee Stock Purchase Plan (ESPP)
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Learning and Development Allowance
• Employee Assistance Program
• Travel Medical Policy - Global Traveler
• Fertility Benefits
• Generous Time off/Leave Policy

Additional Notes

• Coinbase is an Equal Opportunity Employer and provides reasonable accommodations for applicants with disabilities. Some roles participate in AI interview pilots for initial screening; human review is used for hiring decisions.