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.
The Deep Research team is part of the Agentic Validation organization. We build agentic AI solutions that improve coding agents like Gemini Coder and Jetski. We developed Koality, a platform that distills codebases into a high-fidelity ground truth. Our scope includes exploratory testing and improving coding agents with spec-driven development based on intent, requirements, use cases (CUJs), and specifications extracted from code or derived from human interaction.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
- Own outcomes for the Deep Research Agent program, scoping problems and navigating ambiguity in exploratory testing and spec-driven development.
- Direct or guide tech leads, clarify, make tractable, and solve large, ambiguous technical problems in codebase intent extraction, exploratory testing, and agentic validation to improve agents like Gemini Coder and Jetski.
- Drive teams through fast experimentation and evaluation to make effective data-driven decisions at high pace. Develop project roadmaps, establish team goals, set priorities, and coordinate resources to deliver business impact.
- Manage team staffing, career development, and performance management. Foster successful group dynamics to accomplish the team's mission in a highly ambiguous environment.
- Drive alignment with cross-functional partners and influence stakeholders across teams with competing priorities in the best interest of Google.
Qualifications
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of technical leadership and people management experience.
- Programming experience in one of the following: Java, C++, or Python.
- Experience with Generative AI Agent, influencing, project planning, agent assist, large language model, and system design.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in a complex, matrixed organization.
- 3 years of experience in executing technical projects independently.
- 2 years of experience in building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line (CLI).
- Experience coding with high velocity while maintaining high architectural standards.
- Proven track record in full stack development and Generative AI.