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.
