1,576,605open jobs
95,009companies
242,451added this week
Browse all
Salary
≈ $197k – $354k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 9, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

As a Group Product Manager on the Geo Makers team, you will shape the Google Maps AI Platform. You will lead a two-part mission to enhance AI quality and strategically integrate both traditional and non-agentic AI models, defining the next era of geospatial technology.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Drive Product Requirements Documents by overseeing collaboration with partner teams (e.g., engineers, Program Managers, User Experience) during product design.
  • Oversee definition of product roadmaps.
  • Develop and secure buy-in for a product goals that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
  • Oversee validation of market size and opportunity (e.g., user-based, opportunity, business).
  • Lead the team through defining, identifying, collecting, and tracking appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 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.
  • Experience in AI/ML product development, including model evaluation frameworks (evals), quality benchmarks, or data governance.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 5 years of experience in a role preparing and delivering technical presentations to executive leadership.
  • Experience with geospatial solutions, Google Maps APIs, or generative AI developer tools (e.g., LLM grounding, agentic toolsets, MCP).
  • Experience defining product goal, multi-year roadmaps, and executing strategy across cross-functional engineering, UX, and GTM teams.
  • Experience designing automated/self-healing data pipelines, data inferencing systems, or data quality platforms.
  • Experience with enterprise AI governance, trust and safety policy, or partnering directly with field engineers and customer facing product teams.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,576,605 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
Mountain View
≈ $151k – $278k per year (Estimated) • Hybrid • Full-Time • 4+ years exp • New York
Analytics
A/B Testing
Apply
≈ $141k – $260k per year (Estimated) • In office • Full-Time • 8+ years exp • Master's Degree • Waukesha
AI/ML
Machine Learning
Apply
≈ $110k – $202k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Dallas
Management
Agile
Scrum
Apply
$180k – $243k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Austin
DevOps
AWS
Apply
$149k – $201k per year • Equity • In office • Full-Time • Bachelor's Degree • Herndon
DevOps
AWS
SLI/SLO/SLA
Apply
$124k – $159k per year • Equity • Hybrid • Full-Time • 3+ years exp • Ontario
Python
Java
SQL
C++
C++
TensorFlow C++
PyTorch C++
Databases
Snowflake
AI/ML
Fine-tuning
AI Agents
TensorFlow
PyTorch
LLM
RAG
Agentic Workflows
DevOps
GCP
Prometheus
Azure
CI/CD
AWS
Docker
Kubernetes
Cortex
Apply
$59k – $74k per year • Equity • Hybrid • Riga
JavaScript
TypeScript
Node JS
AI/ML
AI Agents
Frontend
React.js
Storybook
Design
Webflow
Apply
≈ $35k – $95k per year (Estimated) • Hybrid • Riga
AI/ML
LLM
DevOps
CI/CD
Linux
Windows
Cybersecurity
SIEM
Apply
$44k – $74k per year (gross) • Remote (Lithuania) • 4+ years exp • Vilnius
Go
Java
Rust
Kotlin
C#
Scala
Databases
Redis
Aerospike
Cassandra
AI/ML
LLM
RAG
Structured Outputs
Tool Use
DevOps
CI/CD
Git
Apply
$100k – $120k per year • In office • New York
Python
JavaScript
TypeScript
C++
AI/ML
Claude Code
AI Agents
Management
Agile
Apply
≈ $120k – $236k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Sunnyvale
Python
SQL
Databases
Google BigQuery
BigQuery
Analytics
Tableau
MicroStrategy
SAP BusinessObjects
Apply
≈ $124k – $244k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Mountain View
AI/ML
Gemini
Machine Learning
Management
Agile
Apply
≈ $101k – $198k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Atlanta
DevOps
GCP
Management
Agile
Apply
≈ $135k – $248k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Boulder
AI/ML
AI Agents
LLM
Apply
≈ $98k – $200k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Mountain View
Apply
≈ $168k – $309k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
AI/ML
Recommender Systems
Machine Learning
Apply
≈ $134k – $263k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Mountain View
AI/ML
Multimodal AI
Gemini
Apply
≈ $123k – $241k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Apply
≈ $123k – $241k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Apply
≈ $123k – $231k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • Mountain View
Apply
See all jobs
This is one of many
1,576,605 more open roles from verified company boards, updated every day.