Software Engineering - Ads Media Planning

Software Engineering 5 - Ads Media Planning

Los Gatos, California, United States of America
• New York, New York, United States of America

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 launching our 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.

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  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.

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, No
  
  SQL databases, queues like Apache Kafka and a solid understanding of CI/CD pipelines and Dev Ops 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…