Product Manager II: Multimodal Search & AI

Google; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking a Product Manager II for the Search Multimodal Conversationality team in Mountain View. You will guide products from conception to launch, bridging product and engineering to deliver scalable experiences.

You will lead cross-functional efforts, coach junior teammates, and drive end-to-end initiatives involving LLMs and multimodal search features to improve user experience and growth.

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 driving growth for a consumer product.
• Master's degree in a technology or business related field (preferred).

Responsibilities

• Drive product design and establish standards and quality metrics for Multimodal Conversationality and Google Lens.
• Lead LLM and Search quality projects, including building eval sets, evaluating side-by-side reports, and writing templates or platinums/goldens.
• Translate offline evaluations (like SxS) and loss pattern analysis into actionable product decisions and engineering iterations.
• Work collaboratively with cross-functional teams to drive growth for a large consumer product.

Skills

Product management

End-to-end delivery

Cross-functional collaboration

Mentoring junior teammates

Growth mindset

Education

Bachelor's degree or equivalent

Master's degree preferred

Job description

Google is seeking a Product Manager II for the Search Multimodal Conversationality team in Mountain View. You will guide products from conception to launch, bridging product and engineering to deliver scalable experiences.

You will lead cross-functional efforts, coach junior teammates, and drive end-to-end initiatives involving LLMs and multimodal search features to improve user experience and growth.