Product Manager, aiEDU
at Google
Location
New York, NY, USA; San Francisco, CA, USA; San Jose, CA, USA
Compensation
$163k–$236k USD
Type
full time
Posted
1 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $236k · in the market band
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Job description
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.
You will own the multi-year product outlook, platform architecture, and execution for Google's centralized AI learning ecosystem spanning our flagship destination hub, generative course creation, personalization nucleus, and community products.
You will lead execution cross-functionally to turn fragmented resources into a single compounding learning flywheel, partnering with executive stakeholders to align enterprise-wide upskilling strategy. Above all, our team is comprised of builders who stay engaged with modern AI tools, coding agents, and sandbox environments to rapidly build prototypes, validate concepts, and ship scalable platforms.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define and own the multi-quarter product outlook, strategy, and roadmap for the learning product portfolio to unify platforms into a cohesive ecosystem.
- Lead the product architecture for the core personalization and content engine to dynamically assemble and tailor learning experiences.
- Drive cross-organizational alignment and federated partnerships with senior leaders to balance a rigorous baseline with tailored tracks.
- Act as a proficient builder by utilizing AI-native developer and prototyping tools to take ambiguous strategic concepts to working prototypes and user validation.
- Partner with cross-functional teams to establish causal telemetry and longitudinal measurement frameworks that connect destination learning to real-world behavioral outcomes.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or a 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 developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master's degree in a technology or business related field.
- Experience architecting personalization engines, recommendation systems, or content management platforms at scale.
- Experience in educational product development, teaching, or learning design.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, and other stakeholders.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
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