Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
- 3 years of experience in a technical leadership role
- 2 years of experience in a people management or team leadership role
More about this role
- Lead a team of software engineers to deliver excellent, scalable, efficient, and sustainable products.
- Provide technical leadership and hold high technical excellence. Contribute thought leadership and system design opinions.
- Collaborate with other Engineering teams, Product Managers, and cross-functional leaders, and manage important deadlines.
- Exhibit strong product instincts, understand how the team's technical work meets the business needs for the customers. Negotiate with cross-functional partners to arrive at the best balance between engineering effort, system complexity, and customer value.
- Recruit top talent, develop and support your team. Provide an environment where everyone can do their very best work.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
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