Staff Engineering Manager

GitHub Copilot has changed the way software is built, and we have a unique opportunity to look further ahead to identify how software development can be faster, safer, easier, and more accessible. We’re looking for a talented and experienced Software Engineer Manager to join us in this mission! 

Our team, GitHub Copilot Applied Science, has a crucial role in advancing the core intelligence solutions within Copilot. Our responsibilities encompass various areas such as LLM fine-tuning generation, prompt engineering, and the development of end-to-end AI features using cutting-edge technologies. In this role, you will be responsible for driving the engineering related efforts for integrating the intelligence solutions into the Copilot product, including telemetry pipeline and service, model deployment and capacity management as well as runtime stack integration. You will collaborate closely with a diverse and highly skilled group of researchers, scientists, and software engineers within our team, while partnering with multiple teams across Github and Microsoft. Together, we are dedicated to shaping the future of software development by continuously enhancing AI-powered capabilities in Copilot.

Responsibilities:

Problem Solving: Identifying and addressing complex challenges and providing creative solutions to advance the organization's goals.

Team Leadership: Leading and managing a team of engineers, which may include hiring, mentoring, and providing guidance to team members to help them excel in their roles. Conducting performance evaluations, setting goals, and providing feedback to team members to help them grow and develop in their roles.

Project Management: Overseeing the planning, execution, and successful completion of projects, ensuring they align with the organization's goals and objectives.

Strategy: Developing and implementing a strategic roadmap that supports the applied science organization's long-term vision and objectives, including identifying areas of focus and setting priorities.

Collaboration: Collaborating with cross-functional teams, including engineers, product managers, and data scientists, to integrate solutions into product development and business strategies.

Innovation: Driving innovation within the team by exploring new methodologies, tools, and technologies that can enhance research capabilities and outcomes.

Communication: Effectively communicating status, findings, insights, and recommendations to the leadership team.

Quality Assurance: Ensuring that work conducted by the team meets high-quality standards and adheres to ethical guidelines and industry best practices.

Minimum Qualifications:

• 8+ years experience building and shipping software using a variety of technology stacks, or equivalent experience.
• 3+ years of engineering team management experience.
• 2+ years of experience in large data handling and telemetry systems.
• 2+ years of experience working with ML scientists or ML powered products.

Preferred Qualifications:

These are more specific abilities we’re looking for, but it is the rare human who possesses them all. Think of this as a descriptive sketch, not a checklist of requirements. Be comfortable applying even if you don’t have all of them.

• Have significant experience with machine learning, LLMs, and the rapidly-evolving landscape of techniques and tools used to build intelligence into products.
• Full-stack experience in complex AI-powered systems.
• Have significant experience with one or more backend technologies: server-side environments, compute, datastores, networking, infrastructure, devops, security, and programming languages.
• Have significant experience with open-source software, communities, and the systems these communities use to self-organize and ship software for others.
• Master’s degree in computer science or a related engineering field.

Minimum salary of $118,100 to maximum $313,300.

In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role.

Location: In this role, you can work remotely from anywhere in the United States.

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