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.
Since launchingour ad-supported tier in 2022, the momentum has been unstoppable—we reach over 94 million global monthly active users! As we enter our fourth year, our ambition is massive, and we are just getting started.
Our Team
The Ads Platform Engineering org builds advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.
The Media Planning team is at the heart of designing and delivering state-of-the-art media planning solutions that power Netflix’s advertising business. We are developing innovative, in-house ad tech systems that enable advertisers and internal partners to efficiently plan, allocate, and optimize media investments across Netflix’s platform. Our technology translates advertiser objectives into actionable media plans, ensuring seamless integration, automation, optimization, compliance, and management of media strategies at scale. We work closely with cross-functional teams to deliver robust media planning capabilities that serve our advertisers, members, and Netflix’s broader business goals.
Our team’s core focus areas in media planning include:
- Building applications and APIs that support every stage of the media planning process, from initial plan creation and inventory allocation through to campaign activation and completion.
- Delivering transparency on media plan performance and providing users with actionable insights to optimize their planning strategies.
- Partnering with stakeholders across the Ads Platform (Engineering, Product, Data Science, and Design) to develop scalable, impactful media planning solutions that drive business value.
Our team is new and yet faced with the enormous 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 help us differentiate from the competition and become a market leader in record time.
We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.
Skills & experience we’re seeking:
- Experience in building first party tools, APIs and services that leverage data and real-time insights to support media planning workflows.
- Understanding of how media planning workflow works with other parts of an ads platform like pre-sales to delivery for a holistic view of the business.
- Familiarity with RFPs and pre-sales processes through to campaign activation
- Familiarity with AHC (agency holding cos) planning tools, and various forms of media planning support enabled through integrations.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Excellent communication, negotiation, and relationship-building skills.
- Experience with building modern backend and frontend applications on cloud / AWS using Java, Spring Boot, React, GraphQL, Node.js or equivalent technologies. Experience with distributed systems and microservices, NoSQL databases, queues like Apache Kafka and a solid understanding of CI/CD pipelines and DevOps practices.
Nice to haves:
- Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
- Familiarity with legal compliance and changing landscape of ads regulations around the world.
- Experience working in the CTV space and knowledge of its unique constraints
- Working knowledge of AI/ML/genAI techniques and an ability to apply them to sales processes such as channel, product, targeting, budget recommendations.
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 $388,000.00 - $558,000.00.
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.