• Build and maintain a pipeline for calling variants from genomic data • Ensure pipelines are reproducible, scalable, and adhere to best practices in data analysis • Design and code robust tools for the analysis of genomic data • Optimize existing code for efficiency and scalability

• Develop code based on functional specifications and thorough understanding of product code; identify refactoring opportunities and architectural improvements • Test code to verify it meets the technical specifications and is working as intended, before submitting to code review • Create and apply automated tests and test principles to software changes, including (but not limited to) unit tests • Contribute to standards and processes as applicable to software development methodology, including planning, work estimation, solution demos, and reviews • Complete logic and algorithm design in alignment with established standards • Perform moderately complex peer code reviews • Read software requirements and understand impact on design specifications • Contribute to the implementation of delivery pipeline, including test automation, security, and performance • Understand business, application, and coding tasks to make data-driven recommendations for internal process improvements and product documentation • Provide troubleshooting support for moderately complex production issues or software code issues to ensure the stability of the application

• Own the end-to-end governance framework for developer platforms • Define and maintain platform standards, policies, access models and guardrails • Act as the decision authority for platform usage patterns • Own the portfolio of developer platforms and tooling • Define and manage platform lifecycles • Establish self-service provisioning models • Define and implement monitoring and reporting capabilities • Define and mature the operational model for developer platform management • Lead change management for platform upgrades and enhancements • Develop and maintain clear documentation, standards and learning materials

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase is on a mission to become an "AI-Native" company by 2028, fundamentally transforming how we operate across all functions. As an Staff Software Engineer (AI Growth Lead) , you will drive AI adoption across Coinbase by working within one or more AI Growth Pods — internal accelerators that partner with non-engineering functions (e.g., Finance, HR, Legal, Operations, Marketing, Security) to identify, prototype, and scale high-impact AI automation solutions. You will serve as the AI Automation DRI (Directly Responsible Individual) for your assigned pods, driving initiatives from ideation to initial implementation and broader productionalization, while ensuring these solutions deliver tangible ROI and pave the way for broader AI adoption. This role requires a unique blend of strategic thinking, hands-on technical ability, and exceptional cross-functional collaboration. What You'll Do: 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. What We're Looking For: Experience: 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., 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. 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.