Software Engineering Manager II, Agentic Planning and Memory
Company: Google
Location: Mountain View
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 software
development in one or more programming languages (e.g., Python, C,
C++, Java, JavaScript). 5 years of experience in leading machine
learning (ML) design and optimizing ML infrastructure (e.g., model
deployment, model evaluation, data processing, debugging, fine
tuning). 3 years of experience in a technical leadership role. 2
years of experience with state of the art GenAI techniques (e.g.,
LLMs, Multi-Modal, Large Vision Models) or with GenAI related
concepts (language modeling, computer vision). 2 years of
experience in a people management or team leadership role.
Preferred qualifications: Master’s degree or PhD in Engineering,
Computer Science, or a related technical field. 3 years of
experience working in a complex, matrixed organization involving
cross-functional, or cross-business projects. 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. The
Agentic Planning and Memory team is transforming Google Workspace
into a proactive digital partner. In this role, your mission is to
build next-generation agentic capabilities focused on two core
pillars: first, developing advanced, general function-calling
approaches that allow agents to autonomously execute complex
workflows; and second, building a cutting-edge agentic memory layer
that enables agents to retain and utilize context more efficiently
to improve accuracy, personalization, and latency. AI will change
the future of work in profound ways, and our products— Gmail, Docs,
Drive, Calendar, Sheets, Vids and Meet are at the forefront. From
pre-computed summaries for email threads, summaries for meetings,
and videos created from a document using lifelike AI avatars, our
AI opportunity is huge. Our mission is to meaningfully connect
people so they can create, build, and grow together and as part of
the team you can build how productivity tools should work 5-10
years into the future. You will work with model builders (Google
DeepMind), work with exceptional leaders, and have the ability to
impact billions of users across the world. 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
architect highly available systems for agentic planning and memory
management. Ensure the reliability and performance of complex
agentic workflows and memory retrieval systems. Define the
long-term technical roadmap for the agentic memory layer and
planning infrastructure. Lead large-scale system designs that
enable autonomous tool-calling and context awareness. Collaborate
across teams to integrate function-calling capabilities into core
workspace products. Manage organizational growth, staffing, and
technical strategy for the Agentic planning team.
Keywords: Google, Turlock , Software Engineering Manager II, Agentic Planning and Memory, IT / Software / Systems , Mountain View, California
