Top Benefits
About the role
Who you are
- If you're curious, outcome-oriented, and believe in empowering humans with smart tools, this is your team
- Experience building human-in-the-loop systems, LLM-powered agents, or AI copilots in a production environment
- Familiarity with the practical application of AI/ML techniques, including context engineering, embeddings, vector stores, and LLM APIs
- Ability to reason rigorously about trade-offs, system constraints, and long-term maintainability of AI-infused systems
- Strong communication and stakeholder engagement skills, especially with cross-functional or non-technical partners
- 5+ years of backend engineering experience with a strong product and systems mindset
- Experience in observability, operational excellence, or developer experience roles
- Demonstrated experience delivering internal-facing tools, automation, or infrastructure that improved developer or operator workflows
- Familiarity with knowledge management systems (e.g., Confluence, Google Drive, Q&A bots)
- Interest in the long-term strategy of AI adoption, internal evangelism, and change management
- Passionate about applied AI, especially where it improves the quality, speed, and satisfaction of human work
What the job involves
- We’re building a team to explore and deliver high-leverage AI automation for engineering, support, and operations
- The AI Enablement team partners with internal users across the company to identify pain, build fast, and deploy practical copilots, integrations, and workflows that unlock new ceilings on speed and quality
- Partner with stakeholders across engineering, support, and operations to identify workflows that could benefit from applied AI, and prototype fast, durable solutions grounded in real-world constraints
- Design, deploy, and maintain internal AI systems that improve speed, accuracy, and clarity across teams
- Track effectiveness of deployed AI systems through user feedback and metrics
- Prototype and productionize agentic workflows and copilots that accelerate decision-making, reduce toil, and improve service quality
- Own the full lifecycle of internal AI tools – from exploration to rollout to iteration – prioritizing safety, observability, and long-term maintainability
- Establish and evolve best practices for AI safety, context engineering, retrieval-augmented generation, and integration with existing systems and APIs
- Help shape BitGo's internal strategy for AI adoption, establishing frameworks for evaluating, prioritizing, and scaling successful solutions
Benefits
- Company-paid medical, dental, and vision plans
- Catered lunches, fresh snacks, and gourmet coffee
- Commuting made easy with company-paid Caltrain passes
- Competitive compensation, stock options, and 401k plan
- Top-end computer equipment to power your work
- Flexible vacation time
- Remote/hybrid friendly with physical location workspaces
About BitGo
BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients.
BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
Top Benefits
About the role
Who you are
- If you're curious, outcome-oriented, and believe in empowering humans with smart tools, this is your team
- Experience building human-in-the-loop systems, LLM-powered agents, or AI copilots in a production environment
- Familiarity with the practical application of AI/ML techniques, including context engineering, embeddings, vector stores, and LLM APIs
- Ability to reason rigorously about trade-offs, system constraints, and long-term maintainability of AI-infused systems
- Strong communication and stakeholder engagement skills, especially with cross-functional or non-technical partners
- 5+ years of backend engineering experience with a strong product and systems mindset
- Experience in observability, operational excellence, or developer experience roles
- Demonstrated experience delivering internal-facing tools, automation, or infrastructure that improved developer or operator workflows
- Familiarity with knowledge management systems (e.g., Confluence, Google Drive, Q&A bots)
- Interest in the long-term strategy of AI adoption, internal evangelism, and change management
- Passionate about applied AI, especially where it improves the quality, speed, and satisfaction of human work
What the job involves
- We’re building a team to explore and deliver high-leverage AI automation for engineering, support, and operations
- The AI Enablement team partners with internal users across the company to identify pain, build fast, and deploy practical copilots, integrations, and workflows that unlock new ceilings on speed and quality
- Partner with stakeholders across engineering, support, and operations to identify workflows that could benefit from applied AI, and prototype fast, durable solutions grounded in real-world constraints
- Design, deploy, and maintain internal AI systems that improve speed, accuracy, and clarity across teams
- Track effectiveness of deployed AI systems through user feedback and metrics
- Prototype and productionize agentic workflows and copilots that accelerate decision-making, reduce toil, and improve service quality
- Own the full lifecycle of internal AI tools – from exploration to rollout to iteration – prioritizing safety, observability, and long-term maintainability
- Establish and evolve best practices for AI safety, context engineering, retrieval-augmented generation, and integration with existing systems and APIs
- Help shape BitGo's internal strategy for AI adoption, establishing frameworks for evaluating, prioritizing, and scaling successful solutions
Benefits
- Company-paid medical, dental, and vision plans
- Catered lunches, fresh snacks, and gourmet coffee
- Commuting made easy with company-paid Caltrain passes
- Competitive compensation, stock options, and 401k plan
- Top-end computer equipment to power your work
- Flexible vacation time
- Remote/hybrid friendly with physical location workspaces
About BitGo
BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients.
BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.