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Posted 2d ago

Software Engineering Manager, Knowledge Catalog

@ Google
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Sunnyvale, California, United States
$207k-$301k/yrOnsiteFull Time
Responsibilities:leading teams, defining roadmap, mentoring engineers
Requirements Summary:Bachelor's or equivalent; 8+ years in ML design and infrastructure; 3+ years people management; 2+ years GenAI experience; proficiency in Java/C/C++/Go and SQL; BLS/CPR not applicable.
Technical Tools Mentioned:Java, C/C++, Go, SQL, Large Language Models (LLMs), Google Cloud
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Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience leading to ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in a people management or team leadership role.
  • 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
  • Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infrastructure.
  • Knowledge of data warehouses, big data, SQL, and data governance.

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.

Knowledge Catalog is the foundational context engine for the AI era designed as always-on enterprise-wide catalog for AI, it serves as the single reliable source of truth for both human users and AI agents. By bridging the gap between raw data and true business meaning, we power Google's Agentic Data Cloud, enabling AI agents to reason, act, and execute on enterprise data. It provides universal business context and governance for your entire data estate. Data teams and AI developers use Knowledge Catalog to discover data, enforce policies, and retrieve context for both analytics and self-sustaining applications.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Generate critical, innovative ideas and own the architectural direction for highly ambiguous problem spaces.
  • Navigate complex organizational structures to influence technical decisions and align outcomes across various Google Cloud products and distinct engineering organizations.
  • Apply strong product-thinking to technical challenges. Partner closely with engineering and product managers to define the long-term roadmap and ensure our technical capabilities align with customer and business needs.
  • Provide technical guidance, mentorship, and leadership to engineers across the team, elevating the overall capability and velocity of the organization.
  • Maintain a direct approach to coding and system design while setting the standard for engineering excellence.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.