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Manager – Engineering – AI
| Company | Study.com |
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| Location | Mountain View, CA, USA |
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| Salary | $160000 – $210000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s or Master’s in Computer Science, or a related technical field.
- 6+ years of experience managing engineering teams, with a focus on productivity, platform, or DevOps.
- Deep understanding of software development best practices, architecture, and design patterns.
- Experience working with cloud technologies, microservices, and modern development frameworks and AI.
- Proven ability to lead teams in an agile development environment and deliver complex software projects.
- Demonstrated success using AI tools (e.g., GitHub Copilot, LLMs) to improve engineering efficiency.
- Track record of aligning engineering initiatives with product goals and measurable outcomes.
- Excellent communication, collaboration, and coaching skills with a passion for building strong teams.
- Self-motivated, detail-oriented and strong analytical / problem solving skills.
Responsibilities
- Lead initiatives to transform engineering practices and team productivity using AI-assisted tooling and workflow automation.
- Champion responsible AI usage in areas like test automation, code generation, code review, and incident management.
- Manage and grow a high-performing team of software engineers with a focus on engagement and career development.
- Collaborate cross-functionally on the product roadmap and execution to ensure timely delivery and high quality of engineering output.
- Identify and implement process improvements to enhance team velocity, collaboration, and impact.
- Coordinate issue troubleshooting in our 24×7 production environment.
Preferred Qualifications
- Recent hands-on experience doing web application development – backend: Java, frontend: HTML, CSS, JavaScript, etc.
- Experience building and deploying mobile apps in a modern app development framework.
- Exposure to AI frameworks and infrastructure for software development.
- Background in agile project or technical program management.
- Familiarity with metrics for measuring engineering performance.
- Experience managing or working with global remote team members.
- Enthusiastic about creating strong teams and fostering a positive engineering culture.
