Technical Lead Manager, AI Rapid Response Team
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Minimum qualifications:
- 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).
- 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Experience as a senior staff software engineer or equivalent.
- Experience with AI-first development practices and tools.
- Familiarity with concepts such as AI-assisted code generation/review, prompt engineering for development tasks, and integrating cutting-edge models.
- Ability and willingness to contribute directly to technical work (e.g., writing design docs, coding, development of AI systems, and UX experience).
- Proficiency with AI-first development.
- Deep technical acumen and accountability for a key, business-critical domain or technical area, including a track record of advancing organizational capabilities in a meaningful way.
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.
As a TLM for the AI Rapid Response Team (AIRRT), you will be a leader at the forefront of Google's AI transformation within MSCA. This pivotal role involves driving technical excellence, strategic execution, and people leadership for a high-impact "SWAT team" focused on applying an "AI-first" mentality to critical business problems. You will lead a team of software engineers, guiding them through several possibly concurrent rapid, two-week sprints to prototype, analyze, and de-risk emerging AI opportunities and critical pain points. Your contributions will be highly visible and strategic, ranging from coding and in-depth technical problem-solving to defining long-term technical vision.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $248,000-$349,000 + 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
- Participate in the evaluation, scoping, and execution of high-impact, time-sensitive projects. Contribute to technical work, including design and coding.
- Apply deep domain expertise to diagnose unexpected behaviors, evaluate proposed changes, and provide expert judgment on significant system components, ensuring long-term health and maintainability.
- Identify and solve team issues related to culture, strategic staffing, process, and prioritization, ensuring the team remains adaptable and change-resilient. Establish consensus and strong collaborative relationships with cross-functional leaders, including product managers, researchers, and engineering teams across MSCA, to understand needs and drive the adoption of AI-first practices.
- Communicate project progress and learnings transparently, disseminating knowledge across the organization through methods such as "Rapid Response Recollection (R3)" emails and demos.
- Ensure the team's operational cadence, including daily standups, bi-weekly demo days, and hackathons, supports high momentum and rapid decision-making.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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