Role in brief
Coinbase seeks an Engineering Manager to lead its Customer Experience AI team, focusing on developing AI-powered solutions for crypto support. This role involves driving the AI roadmap, integrating third-party solutions, and ensuring the reliability of AI services. Candidates with a strong background in AI/ML leadership, particularly with LLMs and RAG pipelines, and experience managing engineering teams, should consider applying.
About the role
This Engineering Manager position at Coinbase involves shaping the strategy and execution of AI solutions within the Customer Experience team. The role is centered on enhancing how users interact with crypto support by leveraging Generative AI. This includes overseeing the development of conversational AI stacks and integrating external AI technologies to improve service efficiency and user satisfaction.
A key aspect of this role is orchestrating the AI ecosystem, which means managing the integration of various AI tools and platforms. The manager will also be responsible for establishing robust evaluation frameworks and guardrails to ensure the AI systems are effective and safe. This involves defining technical architectures for components like vector databases and prompt engineering to support complex AI agent tasks.
Success in this role requires a focus on operational excellence, ensuring the reliability and performance of AI services. The ideal candidate will have a proven track record in leading engineering teams, specifically in shipping products powered by Large Language Models. They should also possess a platform mindset, capable of building scalable and distributed systems, and be adept at implementing quantitative evaluation frameworks for AI.
The salary for this position ranges from $142,000 to $238,000, with total compensation potentially including equity and bonus eligibility.
Skills that matter here
- AI: This role involves leading the strategy, execution, and architectural definition for AI-powered customer experience solutions.
- ML: The position requires hands-on leadership experience in shipping products that are powered by machine learning models, specifically Large Language Models.
- Large Language Models: A core responsibility is to drive innovation in crypto support using Generative AI and manage solutions built with LLMs.
- Golang: While not explicitly tied to a specific task, experience with Golang is listed as a relevant skill for the engineering environment.
- AWS: Experience with AWS is a listed skill, indicating its use in the cloud infrastructure supporting AI services.
- Kubernetes: Experience with Kubernetes is a listed skill, suggesting its application in deploying and managing scalable AI systems.
Who this role suits
- A person who thrives on defining and implementing technical strategy for AI systems.
- Someone with a strong background in leading software engineering teams, particularly those focused on AI/ML product delivery.
- An individual who prioritizes security and safety in AI development and is skilled in establishing evaluation frameworks.
- A leader capable of overseeing the integration of diverse technologies and ensuring operational reliability.
From the employer
- Lead AI Strategy & Execution: Drive the roadmap for our conversational AI stack.
- Orchestrate the AI Ecosystem: Oversee the integration of third-party AI solutions.
- Build Evaluation & Guardrails: Establish rigorous AI evaluation frameworks.
- Agentic Automation: Build secure pathways for AI agents to perform complex tasks.
- Drive Technical Architecture: Define how we handle vector databases and prompt engineering.
- Operational Excellence: Own the reliability of AI services.
- 8+ years of software engineering experience, with 2+ years leading high-performing teams.
- Hands-on AI/ML Leadership: Proven experience shipping products powered by LLMs.
- Systems Thinking: Experience building RAG pipelines.
- Platform Mindset: Built scalable, distributed systems.
- Evaluation Obsessed: Experience with quantitative evaluation frameworks.
- Security & Safety First: Deep understanding of AI guardrails.
- Competitive salary range: $142K-$238K.
- Total compensation may include equity and bonus eligibility.
- Benefits include medical, dental, and vision.
Questions about this role
What is the remote work policy for this role?
Coinbase operates as a remote-first company, but quarterly in-person working sessions called “surges” are expected.
What level of seniority is expected for this position?
This is a middle-seniority role, requiring 8+ years of software engineering experience with at least 2 years in team leadership.
What specific technical skills are important for this role?
Key technical skills include AI, ML, Large Language Models, Golang, AWS, and Kubernetes, with a focus on shipping LLM-powered products and building RAG pipelines.
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