Bachelor's degree or equivalent practical experience.
5 years in product management or a related technical role.
2 years of experience launching technical products from conception to execution.
Familiarity with recommendation systems, ranking systems, or search quality.
Experience integrating generative AI tools or LLM interfaces into workflows.
Responsibilities
Manage the product lifecycle for the core serving and ranking engine in Real World Data Services.
Drive the shift from passive data pipelines to active response quality and ranking systems.
Collaborate with Search and Gemini teams to develop native ranking capabilities for place content.
Optimize retrieval pipelines for data sufficiency and token efficiency with data platform teams.
Benefits
15% bonus target
Equity benefits
Comprehensive health coverage
Flexible work arrangements
Professional development opportunities
Full Job Description
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience in product management or related technical role.
2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
Experience with recommendation systems, ranking systems, or search quality.
Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
Master's degree in a technology or business related field.
3 years of experience in a role preparing and delivering technical presentations to executive leadership.
2 years of experience in software development or engineering.
2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
1 year of experience in technical leadership.
Responsibilities
Manage the product lifecycle for the core serving and ranking engine in Real World Data Services, delivering unstructured geo-tagged content to next-generation agentic products.
Drive the strategic pivot from passive pass-through data pipelines to active response quality and ranking systems.
Partner with Search and Gemini teams to build native ranking capabilities for place content directly into the core serving engine.
Optimize retrieval pipelines for high data sufficiency and token efficiency by partnering with data platform teams on retrieval needs.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
