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. - Team - The EAA Compliance CXAE team is a vital part of Coinbase’s Enterprise Applications and Architecture org, responsible for building the customer experience platforms that streamlines the customer service and compliance processes with innovative services, tools and applications that improve the efficiency and effectiveness of CX agents. This helps resolve customer issues and compliance KYC processes faster, with greater accuracy, and ultimately this leads to higher customer satisfaction levels and a better overall compliant experience for our customers - Role - You will be building applications that will enable Coinbase Customer Agents and other users to increase their productivity, drive automation, and deliver impact at scale through full stack dev and 3rd party integrations. What you’ll be doing - Build new services to meet critical business needs using Golang, GRPC, Typescript and React. - Support team members in design techniques and best practices in coding, testing, release/deploy process, documentation, metrics/logging and scaling. - Demonstrate a keen awareness of Coinbase’s platform, development practices, and various technical domains and build upon them to efficiently deliver improvements across multiple teams. - Participate in an environment where innovative ideas are regularly generated, vetted, and transformed into action. - Foresee potential issues before they arise and adapt their own approach, working within constraints to avoid adverse impact. - Communicate across the company to technical and non-technical leaders with ease. - Quickly distill complex technical themes so that an entry level, non-tech team member can understand them. - Working with teams and teammates across multiple time zones. What we look for in you - You have at least 3 years of experience in software engineering and at least 3 years of experience in developing web apps and shipping user-facing features with JavaScript and modern, component-based JS frameworks like React. - Experience with third-party vendor integrations. - You enjoy and have experience with large-scale, high-traffic platforms and implementing scalable, robust services in the real world. - Experience in AWS, Kubernetes, Terraform, BuildKite or similar. - Experience in rate limiters, caching, load balancing, circuit breakers, metrics, logging, tracing, debugging etc. - Experience in event driven architectures (Kafka, MQ etc.), proficiency in either SQL or NoSQL DBs, understanding of concepts like gRPC, GraphQL, ETL. - Proficiency in Go. Nice to haves: - Python, Ruby - Kafka, MongoDB, Snowflake - SaaS platform experience - Applications using OpenAI/ChatGPT/ThirdParty Integrations Job ID: P61571 #LI-Remote Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $147,900—$174,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Job Title: AI Product Engineer (Full Stack) Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring an execution-focused AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up. This is a hands-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. What You’ll Own Full Product Development (End-to-End) - Build and launch a production-ready web application from concept to deployment. - Own both frontend and backend development across the full stack. - Continuously iterate and improve the product post-launch. AI Integration & Workflows - Design and implement AI-driven workflows within the product. - Integrate LLMs (e.g., Claude or similar) into real use cases. - Implement guardrails to manage AI limitations (hallucinations, edge cases). Backend Systems & Infrastructure - Build and manage backend systems using Supabase or similar tools. - Design scalable APIs and data structures. - Ensure efficient data handling and system performance. Security & System Reliability - Implement authentication, permissions, and data protection practices. - Ensure system security and integrity across the platform. - Optimize performance, scalability, and reliability. Product Collaboration & Iteration - Work closely with leadership to rapidly ship and improve features. - Translate product ideas into working technical solutions. - Continuously refine the system based on feedback and usage. Debugging & Optimization - Identify and fix system issues and bugs. - Improve system stability and user experience. - Maintain high-quality code and system performance. Must-Have Experience & Skills Non-Negotiables - Strong full stack development experience (frontend + backend). - Proven track record of building and shipping real, production-level products. - Hands-on experience integrating AI/LLMs into applications. - Strong understanding of system architecture and API design. - Experience with Supabase or similar backend platforms. - Strong understanding of AI limitations (hallucinations, failure handling). - Knowledge of security best practices (authentication, permissions, data protection). - Ability to work independently and take full ownership of product development. Nice-to-Haves - Experience building AI agents or automation workflows. - Familiarity with Claude or similar LLM tools in production. - Experience building SaaS or operational platforms. - Exposure to aviation, logistics, or membership systems. - Experience scaling products from MVP to production. Key Metrics for Success - Successful launch of production-ready application. - Stability and performance of the system. - Quality and effectiveness of AI integrations. - Speed of feature delivery and iteration. - Reduction in bugs and system issues over time. - Scalability and maintainability of the platform. Interview Process - Initial Screening Call - Technical & Systems Design Interview - Practical Task (Product Build / AI Integration Scenario) - Final Interview - Internal Review & Approval - Offer & Onboarding #LI-AG1

Job Title: AI Product Engineer (Full Stack) Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring an execution-focused AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up. This is a hands-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. What You’ll Own Full Product Development (End-to-End) - Build and launch a production-ready web application from concept to deployment. - Own both frontend and backend development across the full stack. - Continuously iterate and improve the product post-launch. AI Integration & Workflows - Design and implement AI-driven workflows within the product. - Integrate LLMs (e.g., Claude or similar) into real use cases. - Implement guardrails to manage AI limitations (hallucinations, edge cases). Backend Systems & Infrastructure - Build and manage backend systems using Supabase or similar tools. - Design scalable APIs and data structures. - Ensure efficient data handling and system performance. Security & System Reliability - Implement authentication, permissions, and data protection practices. - Ensure system security and integrity across the platform. - Optimize performance, scalability, and reliability. Product Collaboration & Iteration - Work closely with leadership to rapidly ship and improve features. - Translate product ideas into working technical solutions. - Continuously refine the system based on feedback and usage. Debugging & Optimization - Identify and fix system issues and bugs. - Improve system stability and user experience. - Maintain high-quality code and system performance. Must-Have Experience & Skills Non-Negotiables - Strong full stack development experience (frontend + backend). - Proven track record of building and shipping real, production-level products. - Hands-on experience integrating AI/LLMs into applications. - Strong understanding of system architecture and API design. - Experience with Supabase or similar backend platforms. - Strong understanding of AI limitations (hallucinations, failure handling). - Knowledge of security best practices (authentication, permissions, data protection). - Ability to work independently and take full ownership of product development. Nice-to-Haves - Experience building AI agents or automation workflows. - Familiarity with Claude or similar LLM tools in production. - Experience building SaaS or operational platforms. - Exposure to aviation, logistics, or membership systems. - Experience scaling products from MVP to production. Key Metrics for Success - Successful launch of production-ready application. - Stability and performance of the system. - Quality and effectiveness of AI integrations. - Speed of feature delivery and iteration. - Reduction in bugs and system issues over time. - Scalability and maintainability of the platform. Interview Process - Initial Screening Call - Technical & Systems Design Interview - Practical Task (Product Build / AI Integration Scenario) - Final Interview - Internal Review & Approval - Offer & Onboarding #LI-AG1

Job Title: AI Product Engineer (Full Stack) Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We’re hiring an execution-focused AI Product Engineer (Full Stack) to build and scale a production-ready web application from the ground up. This is a hands-on role for someone who can take full ownership of both frontend and backend development while integrating AI capabilities into real-world product use cases. This is not a support or maintenance role — it requires building, shipping, and iterating on a live product with strong system design, performance, and reliability. What You’ll Own Full Product Development (End-to-End) - Build and launch a production-ready web application from concept to deployment. - Own both frontend and backend development across the full stack. - Continuously iterate and improve the product post-launch. AI Integration & Workflows - Design and implement AI-driven workflows within the product. - Integrate LLMs (e.g., Claude or similar) into real use cases. - Implement guardrails to manage AI limitations (hallucinations, edge cases). Backend Systems & Infrastructure - Build and manage backend systems using Supabase or similar tools. - Design scalable APIs and data structures. - Ensure efficient data handling and system performance. Security & System Reliability - Implement authentication, permissions, and data protection practices. - Ensure system security and integrity across the platform. - Optimize performance, scalability, and reliability. Product Collaboration & Iteration - Work closely with leadership to rapidly ship and improve features. - Translate product ideas into working technical solutions. - Continuously refine the system based on feedback and usage. Debugging & Optimization - Identify and fix system issues and bugs. - Improve system stability and user experience. - Maintain high-quality code and system performance. Must-Have Experience & Skills Non-Negotiables - Strong full stack development experience (frontend + backend). - Proven track record of building and shipping real, production-level products. - Hands-on experience integrating AI/LLMs into applications. - Strong understanding of system architecture and API design. - Experience with Supabase or similar backend platforms. - Strong understanding of AI limitations (hallucinations, failure handling). - Knowledge of security best practices (authentication, permissions, data protection). - Ability to work independently and take full ownership of product development. Nice-to-Haves - Experience building AI agents or automation workflows. - Familiarity with Claude or similar LLM tools in production. - Experience building SaaS or operational platforms. - Exposure to aviation, logistics, or membership systems. - Experience scaling products from MVP to production. Key Metrics for Success - Successful launch of production-ready application. - Stability and performance of the system. - Quality and effectiveness of AI integrations. - Speed of feature delivery and iteration. - Reduction in bugs and system issues over time. - Scalability and maintainability of the platform. Interview Process - Initial Screening Call - Technical & Systems Design Interview - Practical Task (Product Build / AI Integration Scenario) - Final Interview - Internal Review & Approval - Offer & Onboarding #LI-AG1