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职位Netflix

Product Manager, Ads Platform - Measurement

Netflix

Product Manager, Ads Platform - Measurement

Netflix

New York,New York,United States of America

·

On-site

·

Full-time

·

2mo ago

薪酬

$310,000 - $545,000

福利待遇

Healthcare

Mental Health

401(k)

Equity

Parental Leave

必备技能

Product Management

Ads Measurement

Ad Tech

CTV

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We recently launched a new ad-supported tier to offer our members with more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply immersed.

Our Team:

The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our members’ viewing experience and drives great outcomes for advertisers.

Our team is new and yet faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that differentiate Netflix from other ad-supported streaming services.

We are looking for a Product Manager in the advertising space who is excited to join us on this journey.

About the Role:

This PM will be responsible for a global suite of ads measurement products focused on upper funnel outcomes. This role will focus on building integrations with third-party measurement partners, streamlining measurement activation across direct-sold and programmatic campaigns, and driving performance improvements.

This PM will:

  • Partner with engineering and design teams to launch products that meet the needs of both advertisers and Netflix’s account and ad operations teams

  • Prioritize the product roadmap, managing near-term product delivery while formulating a long-term product strategy to provide the most relevant and innovative measurement to Netflix’s advertisers

  • Collaborate with cross-functional teams in sales, ad operations, marketing, strategy, policy, and legal to bring products to market and increase adoption

  • Be an expert on the methodologies of our growing measurement suite, including audience reach and brand lift

We’re seeking a candidate who has:

  • 5+ years of Product Management experience with a proven record of successfully launching and scaling platforms

  • Delivered a roadmap and executed on ad measurement products

  • Has a thorough understanding of the ads measurement and identity ecosystems, including CTV experience and familiarity with measurement and ad tech vendors

  • Has experience collaborating closely with advertisers, agencies, measurement partners, and publisher sales and measurement analyst teams

  • Has experience collaborating with Engineering, Data Science, and other Product Teams.

  • Has familiarity with data clean rooms

  • Has familiarity with legal compliance and the changing landscape of ads data privacy regulations around the world

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $310,000.00 - $545,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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关于Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

员工数

Los Gatos

总部位置

$280B

企业估值

评价

3.8

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

4.0

管理层

3.2

68%

推荐给朋友

优点

Great benefits and perks

Supportive team and culture

Competitive salary and compensation

缺点

Fast-paced and high pressure environment

Work-life balance issues

High workload and long hours

薪资范围

1,875个数据点

L3

L5

L6

L7

Mid/L4

L3 · Product Manager

0份报告

$322,500

年薪总额

基本工资

-

股票

-

奖金

-

$274,125

$370,875

面试经验

4次面试

难度

4.0

/ 5

录用率

25%

体验

正面 25%

中性 25%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Team Matching

7

Final Round

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit