Senior Product Manager, Search Intelligence

Mountain View, US
On Site (Office)
Posted 1 month ago

About this role

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or related technical role.
  • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

  • Master's degree or PhD in a technology or business related field.
  • 5 years of experience building and shipping technical products in a high velocity environment.
  • Experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • Familiarity with evals, data tools and with operations.

About the job

At [REDACTED], we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons [REDACTED] consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

[REDACTED] Search is the world's trusted means of efficiently finding high quality, credible and reliable information. Search is at an inflection point, as AI and large language models (LLMs) are changing what is possible and how Search works. Search has been an early and consistent adopter of AI technology, from applying BERT in 2018 to bringing AI overviews to our users today. Our team's mission is to bring the power of AI to Search's billions of users by facilitating successful landings of AI at Search scale.

In [REDACTED] Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at [REDACTED].

Responsibilities

  • Partner closely with Research, Search Quality and cross-functional teams to define product strategy for key modeling capabilities and quality improvements that unlock new, more complex use cases for AI Answers.
  • Assume ownership of model output/response evaluation and analysis to identify patterns, using them along with the latest user research insights to inform product quality efforts and prioritization.
  • Understand the GenAI and Search product landscape to navigate the complexities associated with building GenAI products for billions of users.
  • Drive the development of measurement systems to enable fast and continuous product improvement.
  • Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.

Salary Range

192,000 - 279,000 USD annually

Benefits & Perks

Stock options
Annual bonus
Health insurance

Recommended Skills for this Position

Design Metrics and KPIs
Data-Driven Design
Human-AI Interaction Design
Cross-Functional Collaboration
Ethical AI Design
Feature Prioritization
User-Centered Design
Iterative Design
Usability Testing
User Research
Design Thinking
Stakeholder Communication and Influence

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