
Organizing the world's information and making it universally accessible.
Product Manager, Applied ML and Agent Systems
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Use AI-native tools (e.g., Cursor, Replit, Lovable) to rapidly prototype full-stack applications, turning abstract ideas into clickable reality in days.
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Replace static Product Requirements Documents (PRDs) with live demos to show partners what is possible, validating desirability before significant engineering investment.
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Leverage the terminal as your primary interface, using tools like Gemini CLI (GCLI), Claude Code, and Codex CLI to orchestrate complex, multi-step autonomous systems. Define specialized agents and skills that allow agents to handle specialized Google tasks autonomously.
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Solve hard technical blockers and unblock the path to launch, acting as a co-builder alongside engineering teams.
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Operate with autonomy, optimism, and bias for finding creative solutions to unblock the path from 0 to 1.
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Bachelor's degree or equivalent practical experience.
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10 years of experience in product management or a related technical role.
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5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
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3 years of experience developing or launching edge platforms or technologies within Artificial Intelligence or Agent AI workloads.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
10件のレビュー
4.5
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
4.2
経営陣
3.8
82%
知人への推奨率
良い点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
改善点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
57,503件のデータ
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件のレポート
$183,233
年収総額
基本給
-
ストック
-
ボーナス
-
$155,748
$210,718
面接レビュー
レビュー9件
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
最新情報
Our eighth generation TPUs: two chips for the agentic era - blog.google
blog.google
News
·
1w ago
Google Maps on Android Auto now shows bigger labels on streets along your route [Gallery] - 9to5Google
9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago




