Software Engineering Manager, BigQuery, Agentic AI
Company: Google
Location: New York City
Posted on: April 2, 2026
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Job Description:
Minimum qualifications: 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). Preferred
qualifications: 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. About the job 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-$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 Design and develop next-generation agentic
solutions and data developer experiences such as data ingestion,
data pipelines, data science, feature extraction, model training
and more. Develop and maintain the technical roadmap of the team’s
charter, while leading the team on defining and executing on goal
and long-term strategy. Collaborate cross-functionally with
Product, Data Scientists, Applied Scientists, and UX Designers and
cross-teams to define the roadmap for AI-native data journeys.
Iterate and enhance agentic frameworks by contributing to
sophisticated tool-use, memory, context retrieval, multi-step
orchestration, and rigorous evaluation (evals) to ensure accuracy
and reliability of orchestration at petabyte scale.
Keywords: Google, Hoboken , Software Engineering Manager, BigQuery, Agentic AI, IT / Software / Systems , New York City, New Jersey
