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职位Netflix

Manager, Ads Data Engineering

Netflix

Manager, Ads Data Engineering

Netflix

USA - Remote

·

Remote

·

Full-time

·

3mo ago

薪酬

$446,000 - $752,000

福利待遇

Healthcare

Mental Health

401(k)

Equity

Parental Leave

必备技能

Data engineering

SQL

Programming

Leadership

Distributed systems

Team Management

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.

The Ads data engineering team builds centralized and large-scale datasets that support the overall goals of our Ads data initiatives, focusing on the creation of standardized, scalable datasets, frameworks, and integration mechanisms to enhance discoverability, accessibility, and usability for all stakeholders within the Ads organization. We deliver data as a product through defining core foundational data and providing reusable, consistent, and curated datasets that typically unify data from various systems and data producers, ensuring we account for any changes upstream, such as new ad products (e.g. what is pitched and sold to Netflix advertisers), event types, or integration channels, so our customers have the data they need to build solutions and make decisions.

We are looking for a stellar Data Engineering Manager who can lead a team of talented data engineers and oversee the Ads inventory and demand management (forecasting, simulation), pricing/packaging, media planning data, sales performance data, and sales workflow automation. This role is critical to building reliable, scalable systems that enable accurate inventory prediction, packaging, and sales operation excellence. Your leadership will ensure the creation of robust, scalable, and efficient data pipelines and platforms, enabling Netflix to deliver targeted and impactful advertising experiences to our members while maintaining a strong commitment to data privacy and security.

In this role, you will:

  • Lead a team of strong engineers building high-scale, highly reliable data processing systems serving the Ads domain.

  • Build a strong team vision and roadmap for the team.

  • Effectively partner with a diverse group of stakeholders to enable healthy and impactful collaboration among teams.

  • Offer direct, constructive feedback grounded in empathy. Help team members amplify their strengths and grow through their challenges. Be a thought partner in their career development.

  • Monitor and proactively address any drain on the team's productivity and efficiency, ensuring the team can focus the majority of their efforts on innovation.

  • Hire and grow a diverse, high-performing team of top-tier data engineering talent.

What we are seeking in an ideal candidate:

  • You have 8 years of experience in data engineering.  You have strong programming (at least 1 major language) and SQL experience in your background.

  • You have 3 years of engineering leadership experience, preferably in the Ad tech domain.

  • You see what’s ahead and advocate for smart investments, efficiency, innovation, and long-term value.

  • You attract top talent and build inclusive, high-performing teams. You know great outcomes start with great people.

  • You care about your team’s growth and well-being. You handle tough conversations with empathy and clarity.

  • You have a strong engineering background and can guide teams to deliver great technical outcomes. A BS in Computer Science/Engineering or a related discipline.

  • You have strong experience with distributed data processing technologies (i.e. Spark/Hadoop/flink, etc.)

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 $446,000.00 - $752,000.00. This compensation range will vary based on location.

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.

Job is open for no less than 7 days and will be removed when the position is filled.

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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

Mid/L4

Mid/L4 · Analytics Engineer

7份报告

$274,996

年薪总额

基本工资

$211,536

股票

-

奖金

-

$274,996

$358,605

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