Engineering Manager, Data - Personalization

Reposted 16 Hours Ago
Hiring Remotely in USA
Remote
360K-920K Annually
Mid level
News + Entertainment
The Role
Lead a team of engineers to build high-scale data processing systems, ensuring data quality and reliability while mentoring team members.
Summary Generated by Built In

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix continues to shape the future of entertainment by offering a delightful and personalized experience for members to discover and enjoy a rapidly growing catalog of movie and TV content.

The Personalization Algorithm & Innovation Data engineering team is responsible for building large, web-scale datasets that enable and improve the personalized member experience. These datasets are integral inputs to our machine learning algorithms and recommender systems, which power the exceptional experiences our members enjoy. 

To lead this team, we are looking for someone who embodies and champions Data Excellence and contributes to and elevates the team’s mandate of providing high-quality and high-fidelity data with operational reliability. Leading this team will require partnering heavily with teams responsible for Model development, Data and ML platform, Product Management, Member Experience, and other engineering teams. We are seeking someone with depth and experience in distributed systems and building data products processing web-scale data on modern data processing frameworks(Spark, Kafka, Flink). In addition to technical proficiency, we seek someone who can cultivate a collaborative and inclusive environment, mentoring a diverse team of strong engineers.  A strategic mindset, with a focus on development and operational efficiency to enable new product capabilities and generate business impact, is highly desirable.

Above all, this leader should embody Netflix's core values, promoting creativity, curiosity, and excellence.

In this role, you will:

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

  • Set the team vision and roadmap, strategically connecting the goals of the company and our product to the team’s short and long term deliverables and navigating competing organizational priorities

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

  • 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 to this team.

  • Provide direct, candid, and effective feedback to channel their strengths to impact and address their growth areas. 

What we are seeking in an ideal candidate: 

  • 3 - 5 years of experience of engineering leadership, ideally leading data-focused teams in high-scale data processing.

  • Sharp technical acumen with a solid understanding of modern distributed systems and their capabilities and limitations. Experience building data products, services, and workflows that provide high-quality and highly reliable data to customers 

  • A knack for recognizing and attracting top-tier engineering talent. Understanding the importance of building an amazing team that is additive and diverse, and can deliver incredible impact to the business. 

  • Excellence in communication: Setting context with the team, stakeholders, partners, and leadership. Ability to communicate effectively, directly with candor and authenticity. 

  • A leadership style that prioritizes giving and receiving direct and honest feedback, fosters and cultivates innovation, empowers and encourages independent decision making, and obsessively avoids micromanagement. 

  • A BS in Computer Science/Engineering or a related discipline.

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 $360,000 - $920,000.

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 detail about our Benefits 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.

Top Skills

Flink
Kafka
Spark
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The Company
HQ: Los Gatos, CA
13,212 Employees
Year Founded: 1997

What We Do

Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

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