Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with design and architecture; and testing/launching software products.
- Experience designing and developing relational databases, database internals, query processing and query optimization.
- Experience with database internals, Operating systems, file systems and cloud platforms.
- Experience with GenAI, embeddings, vector search and query processing
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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About the job
Like Google's own ambitions, the work of a Software Engineer goes 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. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
AlloyDB is well positioned as the ideal database for AI-powered applications by providing support for vector search. On the AlloyDB Vector Search team, our mission is to be the industry-leading vector database for customers seeking to store billions of vectors alongside operational data and serve online queries at scale. This team operates in the database engine space, applying cutting edge research from search space into databases, and optimizing for extreme performance, scale and usability.
In this role, you will have to be innovative in the database space and you will address technical challenges that have a major business impact.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $237,000-$337,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Manage a team of software engineers working on cutting edge GenAI / vector capabilities within industry leading AlloyDB database product.