Software Engineer - Ads Media Planning

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.

We launched a new ad‑supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. We wrapped up our first two years of the journey and are well into year three with more exciting things to come!

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.

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.

• 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, Graph
  
  QL, Node.js or equivalent technologies.
  
  Experience with distributed systems and microservices, No
  
  SQL databases, queues like Apache Kafka and a…