
Organizing the world's information and making it universally accessible.
Product Manager, YouTube Creator Support
About the job
At Google, 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 Google 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.
Our mission is to not only perfect the products creators rely on today but to invent the future with AI-powered tools that unlock new insights and creative possibilities. We are also building a future where help is intelligent, proactive, and seamlessly integrated into the creator's journey. From AI-powered help centers to ensuring creator account health, we are dedicated to providing assistance at every turn. We drive creator success, collaborating on strategic projects across all of YouTube to ensure the next generation of creators has everything they need to build and grow.
Responsibilities
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Redefine how YouTube provides support to its global community of creators. Lead a portfolio of high-impact initiatives that will shape the future of creator support powered by AI.
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Be responsible for driving the Agentic strategy for YouTube support.
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Develop tools for building AI agents on top of the latest and most modern Gemini agentic infrastructure to allow support teams with and without engineering knowledge to develop AI agents.
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Develop tools to assist human agents in customer support centers.
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Develop solutions and agents for the most critical support user journeys. Ensure security for both human and AI agent driven support.
Minimum qualifications
- Bachelor's degree or equivalent practical experience.
Preferred qualifications
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Experience in innovating and implementing large-scale product solutions to introduce workflow or cost efficiencies (e.g., through tooling or other product solutions).
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Experience building and launching customer-facing Large Language Model (LLM) products, and understanding of product lifecycle management.
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Ability to leverage customer/user support data to identify product opportunities and drive improvements in key metrics (e.g., escalation volume, cost per user, first-time resolution, TRT, AHT, CSAT).
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Excellent communication skills, with the ability to build strong relationships with cross-functional partners and stakeholders.
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Excellent problem-solving skills to generate actionable product insights from support data, identifying core issues, and prioritizing scalable solutions.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
10 reviews
4.5
10 reviews
Work-life balance
3.2
Compensation
4.3
Culture
4.1
Career
4.2
Management
3.8
82%
Recommend to a friend
Pros
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
Cons
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
Salary Ranges
57,503 data points
Junior/L3
L6
L7
L8
L9
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Intern
Director
L3
L4
L5
Junior/L3 · Associate Product Manager 2 (APM2)
0 reports
$183,233
total per year
Base
-
Stock
-
Bonus
-
$155,748
$210,718
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
Latest updates
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