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Technical Program Manager II, AI/ML, Google Ads
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you ’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Connect Sales is Google's Ads Sales CRM platform that drives Google business growth and customer satisfaction. The team delivers solutions that combine technology and business insights to enable assistive experiences. The team partners with the broader ads, business, and research organizations to continuously deliver against priorities to support impact.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Partner with engineering, product, and UX leads to own, define, and execute on the roadmap for the ads business offering and capabilities.
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Build an understanding of the sales platform portfolio of products, its underlying AI technologies, and contribute to both technical and product decision making.
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Drive project direction, influence stakeholders, challenge proposals, and build consensus across teams.
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Manage goals for programs, projects, and products attainable within a given timeline.
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Influence and manage the creation of new ideas, designs, architectures, and methods for feature development or problem solving.
Minimum qualifications
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Bachelor's degree in a technical field, or equivalent practical experience.
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2 years of experience in program management.
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Experience with enterprise applications.
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Experience with generative AI.
Preferred qualifications
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2 years of experience managing cross-functional or cross-team projects.
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Experience with sales tools.
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Experience with AI platforms.
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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
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
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
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