Software Engineer 5 - Ads CRM

Netflix•Los Gatos, CA

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. 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! 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. We are seeking to build the core technology that empowers a super intelligent ad sales team. This role will focus on leveraging the latest techniques in AI/ML/genAI to help the sales team accelerate revenue growth.

Requirements

Experience in building first party tools, APIs and services that leverage data and real-time insights to support sales workflows.
Experience working with one or more sales / CRM platforms (Salesforce preferred), including custom workflows and key business system integrations to deliver outcomes.
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.
Working knowledge of AI/ML/genAI techniques and an ability to apply them to sales processes such as lead scoring, pitch recommendations, and workflow automation.
Understanding of how sales domains - sales productivity, account foundations, and sales performance management - work with ads platforms for a holistic view of the business.
Working familiarity of diverse ad sales channels including direct IO, programmatic, aggregator, reseller, and self-serve.