Software Engineering Manager, Knowledge Catalog

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Android, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Natural Language, Big Data, Budget Management, C Programming Language, C++ Programming Language, Cloud Computing, Computer Science, Computer Vision, Consumer Packaged Goods, Customer Service Management, Data Compression, Data Modeling, Data Processing, Data Structures, Data Warehousing, Debugging Skills, Distributed Computing, Engineering Management, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Genetics, Information Retrieval, Japanese Language, Java, Large-Scale Systems, Leadership, Leading Edge Technology, Manufacturing, Mentoring, Modeling Languages, Natural Language Processing (NLP), Network Operations Center, Network Security Design, Operations Management, Organizational Skills, People Management, Product Engineering, Product Strategy, Product Support, Programming Languages, Project/Program Management, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, SQL (Structured Query Language), Sales, Sales Management, Software Development, Software Engineering, Stock Purchase Plans, Structural Engineering, Team Lead/Manager, Technical Consulting, Technical Leadership, User Interface Design
LOCATION
Sunnyvale, CA
POSTED
2 days ago

Software Engineering Manager, Knowledge Catalog - Google Careers

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Software Engineering Manager, Knowledge Catalog

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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