招聘
About the job
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
Responsibilities
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Drive the adoption of deep creative analytics, metrics and business forecast meetings (BFMs) across the ecosystem.
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Lead "Creative Headroom" projects by identifying data-led opportunities for growth. You will use performance data to pinpoint where creative friction is limiting media spend and develop specific, data-backed projects to remove those barriers and capture new business.
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Work closely with client and agency teams to ensure "last-mile" execution. This involves moving beyond high-level insights to ensure that data-based creative recommendations are technically implemented and rigorously tested within actual media campaigns.
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Act as the investigative consultant for internal pods, providing the data evidence needed to support creative pivots.
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Advocate the "Creative-as-Performance" narrative with external media and creative agencies, coaching them on how to use our proprietary metrics to improve their own output and client satisfaction.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of experience in digital media, sales, marketing, or product roles.
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Experience working with digital organizations.
Preferred qualifications
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4 years of experience to translate data sets from large customer sales tools into clear, actionable creative effectiveness metrics that drive business.
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Experience working with cross-functional "workstreams" involving GTM, product, and engineering teams to build reporting dashboards, pitch pipelines, metric dashes, etc.
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Experience working directly with execution teams to ensure data-backed recommendations are accurately implemented within ad platforms.
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Experience building or implementing creative effectiveness models and attribution frameworks.
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Ability to act as an "execution partner" to large customer sales clients, shifting their mindset from subjective creative opinions to data-driven creative excellence.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐给朋友
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Mid/L4
Senior/L5
Mid/L4 · Technical Program Manager
1,213份报告
$365,196
年薪总额
基本工资
$187,658
股票
$130,822
奖金
$46,717
$242,776
$576,787
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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