Software Engineering Manager, BigQuery, Agentic AI
Listed on 2026-03-10
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Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Software Engineering Manager, Big Query, Agentic AI
Google New York, NY, USA
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- Bachelor's degree or equivalent practical experience.
- 8 years of experience with Generative AI (Large Language Models, Multi-Modal Models) and Agentic Technologies (MCP, ADK, A2A, etc).
- 2 years of experience in a people management or team leadership role.
- 1 year of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
- Experience in building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line.
- Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.
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.
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.
In this role, your mission is to move beyond simple automation and into the era of Agentic AI, creating sophisticated, autonomous solutions that partner with users to solve their data issues.
You will build agents, skills and tools that assist the entire data life‑cycle, and you will be a key driver in building the surfaces and tools that make data development intuitive, fast and seamless. You will collaborate with product managers, engineers, scientists, and designers to create unified, AI‑accelerated agents and developer experiences that push the boundaries of how humans and AI collaborate on code and data.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real‑world impact, aiming to push the state‑of‑the‑art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real‑world impact that benefits our customers.
The US base salary range for this full‑time position is $207,000–$307,000 + 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.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be,…
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