Engineering Manager, Core Automation (Platform)
Coinbase
Engineering Manager, Core Automation (Platform)
Job Description
Responsibilities
- Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
- Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure.
- Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools.
- Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
- Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter.
- Coach team members on design principles, coding standards, and AI productivity tools adoption.
- Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
- Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions.
- Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
- Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
- Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
Required Qualifications
- At least 7 years of experience in software engineering.
- At least 2 years of engineering management experience.
- Proven expertise in designing, building, scaling, and maintaining production services in a very hands-on manner while leading a team of highly competent engineers.
- Experience hiring and running high performing teams via processes and sound engineering practices.
- Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them.
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
- Deep customer obsession towards your primary stakeholders.
- Passion for building an open financial system that unites the world.
- Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices.
Preferred Qualifications
- Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus.
- Experience in the Customer Support Compliance or Financial Crimes domains.
Required Skills
- software engineering
- engineering management
- designing, building, scaling, and maintaining production services
- hiring and running high performing teams
- high-quality code and software engineering processes
- GenAI frameworks/tools
- Python
- GoLang
- Docker
- Postgres
- MongoDB
- customer obsession
- written and verbal communication skills
- LLM based applications to production
- measuring and improving LLMs’ grounding
- reducing hallucinations
- Customer Support Compliance or Financial Crimes domains
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$218025 - $256500 USD
Locations
- Canada, Canada (Remote)
- USA, United States (Remote)
Salary
218,025 - 256,500 USD / yearly
Skills Required
- software engineeringintermediate
- engineering managementintermediate
- designing, building, scaling, and maintaining production servicesintermediate
- hiring and running high performing teamsintermediate
- high-quality code and software engineering processesintermediate
- GenAI frameworks/toolsintermediate
- Pythonintermediate
- GoLangintermediate
- Dockerintermediate
- Postgresintermediate
- MongoDBintermediate
- customer obsessionintermediate
- written and verbal communication skillsintermediate
- LLM based applications to productionintermediate
- measuring and improving LLMs’ groundingintermediate
- reducing hallucinationsintermediate
- Customer Support Compliance or Financial Crimes domainsintermediate
Required Qualifications
- At least 7 years of experience in software engineering. (experience)
- At least 2 years of engineering management experience. (experience)
- Proven expertise in designing, building, scaling, and maintaining production services in a very hands-on manner while leading a team of highly competent engineers. (experience)
- Experience hiring and running high performing teams via processes and sound engineering practices. (experience)
- Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them. (experience)
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB. (experience)
- Deep customer obsession towards your primary stakeholders. (experience)
- Passion for building an open financial system that unites the world. (experience)
- Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices. (experience)
Preferred Qualifications
- Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus. (experience)
- Experience in the Customer Support Compliance or Financial Crimes domains. (experience)
Responsibilities
- Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
- Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure.
- Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools.
- Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
- Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter.
- Coach team members on design principles, coding standards, and AI productivity tools adoption.
- Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
- Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions.
- Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
- Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
- Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Engineering Manager, Core Automation (Platform)
Coinbase
Engineering Manager, Core Automation (Platform)
Job Description
Responsibilities
- Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
- Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure.
- Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools.
- Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
- Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter.
- Coach team members on design principles, coding standards, and AI productivity tools adoption.
- Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
- Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions.
- Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
- Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
- Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
Required Qualifications
- At least 7 years of experience in software engineering.
- At least 2 years of engineering management experience.
- Proven expertise in designing, building, scaling, and maintaining production services in a very hands-on manner while leading a team of highly competent engineers.
- Experience hiring and running high performing teams via processes and sound engineering practices.
- Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them.
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
- Deep customer obsession towards your primary stakeholders.
- Passion for building an open financial system that unites the world.
- Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices.
Preferred Qualifications
- Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus.
- Experience in the Customer Support Compliance or Financial Crimes domains.
Required Skills
- software engineering
- engineering management
- designing, building, scaling, and maintaining production services
- hiring and running high performing teams
- high-quality code and software engineering processes
- GenAI frameworks/tools
- Python
- GoLang
- Docker
- Postgres
- MongoDB
- customer obsession
- written and verbal communication skills
- LLM based applications to production
- measuring and improving LLMs’ grounding
- reducing hallucinations
- Customer Support Compliance or Financial Crimes domains
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$218025 - $256500 USD
Locations
- Canada, Canada (Remote)
- USA, United States (Remote)
Salary
218,025 - 256,500 USD / yearly
Skills Required
- software engineeringintermediate
- engineering managementintermediate
- designing, building, scaling, and maintaining production servicesintermediate
- hiring and running high performing teamsintermediate
- high-quality code and software engineering processesintermediate
- GenAI frameworks/toolsintermediate
- Pythonintermediate
- GoLangintermediate
- Dockerintermediate
- Postgresintermediate
- MongoDBintermediate
- customer obsessionintermediate
- written and verbal communication skillsintermediate
- LLM based applications to productionintermediate
- measuring and improving LLMs’ groundingintermediate
- reducing hallucinationsintermediate
- Customer Support Compliance or Financial Crimes domainsintermediate
Required Qualifications
- At least 7 years of experience in software engineering. (experience)
- At least 2 years of engineering management experience. (experience)
- Proven expertise in designing, building, scaling, and maintaining production services in a very hands-on manner while leading a team of highly competent engineers. (experience)
- Experience hiring and running high performing teams via processes and sound engineering practices. (experience)
- Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them. (experience)
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB. (experience)
- Deep customer obsession towards your primary stakeholders. (experience)
- Passion for building an open financial system that unites the world. (experience)
- Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices. (experience)
Preferred Qualifications
- Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus. (experience)
- Experience in the Customer Support Compliance or Financial Crimes domains. (experience)
Responsibilities
- Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
- Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure.
- Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools.
- Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
- Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter.
- Coach team members on design principles, coding standards, and AI productivity tools adoption.
- Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
- Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions.
- Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
- Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
- Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories