Netflix is the world’s leading Internet television network with over 270 million members in over 190 countries enjoying TV series, documentaries, feature films, and games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause, and resume their entertainment on-demand, personalized to their interests, across a variety of screens.

The Team
The Messaging Engineering team at Netflix creates & delivers multi-channel messaging experiences for members and partners in the Netflix ecosystems. The team owns the platform, applications, channels, and messages that enable Netflix to communicate with its customers and partners.

The Lifecycle Messaging team is an experimentation focused product development team. We experiment and A/B test messaging experiences across the member lifecycle to drive engagement and retention with timely, personalized, and delightful member experiences. Our outbound messaging channels include Emails, Push notifications, and the browser, to name a few. The team also experiments with and owns the In-App notification center and other messages shown to members across all devices. This team engages directly with our more than 220 million members in over 190 countries directly - by sending >100B messages per year through communication channels both outside and inside of the Netflix apps.

You can read more details on some of the team’s work on the Messaging Engineering @ Netflix site.

The Role
As a Senior Messaging Software Engineer on the Lifecycle Messaging team, you will lead cross-functional projects that span across multiple business initiatives all focused on increasing member engagement with the Netflix service. You will partner with various cross-functional partners including Algorithm/ML Engineering, UX, Content Design (copy), Product, Client and Backend Engineering, Localization, Data Science, and more. You will be a Messaging advocate as you work closely with many stakeholders from different parts of the business and guide them to build the best Messaging experiences.

You will ideate, plan, track, and build customer-facing email, push, and in-app experiences using Java on the backend and React and TypeScript for email frontend. You will also test your work thoroughly, using engineering best practices. You will monitor and dive into issues via tools like ElasticSearch/Kibana, command-line tools, and remote debugging. You will learn to focus on incrementality and identify the data needed to measure whether your test was successful or not, while partnering with data scientists to perform the analysis.

You will help shape and drive the direction of the Product and Messaging Experiences. Your passionate ideas are encouraged and expected. As a product innovation team, we value challenges to existing assumptions. Come join us and help shape and evolve our culture.

You will be successful in this role if:
• You are passionate about product development and you enjoy the independence of managing projects on your own
• You have experience in building consumer facing products and apps
• You have experience working with non-engineering functions like Product, Design, Content Design, Localization, ML researchers or Data Scientists
• You own the experiences you build, beyond just your code. You have a passion for quality.
• You are extremely collaborative and enjoy working on highly visible cross-functional projects
• You can make wise choices and take smart risks when dealing with ambiguous requirements
• You are proactive and can move fast or pivot to meet the changing needs of the product
• You enjoy problem solving and are willing to learn how to use big-data queries, debuggers, and command line tools

Technical Skills Needed:
• Experience with A/B Testing
• Comfortable using common development tools and environments (e.g Git, VSCode, IntelliJ, Gradle, Bazel)

Nice To Have Skills:
• Experience with JVM languages such as Java, Groovy, Scala, and Kotlin
• Experience working on Messaging
• Experience with Typescript, JavaScript, React, or Node.js
• Experience working with ML researchers or Algorithm engineers and Data Scientists
• Knowledge and experience working with machine learning systems

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 $100,000 - $720,000.

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 detail about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.