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.

In this role, you will lead a team of talented engineers that build big data pipelines and services using distributed computing tools, such as Spark and Flink. These data pipelines are used to power machine learning models, experimentation, analytics, and dashboards across a variety of growth-related domains, including plans and pricing, identity, signup flow optimization, payments, and partnerships.

You will work closely with a cross-functional team of product engineers, data scientists, and business stakeholders to help grow Netflix. The data your team produces will be used to help directly improve the customer experience and  inform future product strategy.
 

Responsibilities

• Provide guidance and mentorship to managers and individual contributors on the team.

• Develop strong relationships with data science, engineering, and business partners, and improve how we leverage data at  Netflix.

• Help nurture the data engineering community at Netflix, which extends beyond your immediate team and requires working with other senior leaders

• Expand your team by attracting diverse talent that can push our technical boundaries.

• Foster an inclusive environment, where all points of view are welcomed and encouraged.

• Be a thoughtful leader, and drive both technical and business priorities and roadmaps.

Specific qualifications

• Many years of experience leading engineering teams that design and build distributed systems, including for real-time and customer-impacting applications

• Experience hiring and mentoring high-caliber, data-focused engineers that have diverse technical strengths and backgrounds.

• High-energy self-starter with a passion for data. You enjoy working in a fast-paced environment.

• Strong business acumen, and interest in contributing to roadmaps and strategy discussions.

• Exceptional communication skills, and can translate technical concepts into easy-to-understand language for business partners. 

• Familiarity with machine learning and/or experimentation (A/B) testing  a plus.

• Experience working in a growth-related domain (e.g. pricing, identity, payments, partnerships) is a plus.

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 $705,000.00 - $1,600,000.00. 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.