Software Engineer 5 - 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.

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 respect the viewing experience while driving great outcomes for advertisers. We also ensure advertiser brand safety during serving, and that 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 develop innovative, in-house ad tech systems that enable advertisers and internal partners to 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 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 strategies.

• Partnering closely with our applied-science colleagues to bring optimization, forecasting, and LLM/agentic capabilities into production as reliable, observable, and performant services.

• Building the shared services and data pipelines that keep those capabilities dependable and well-understood in production.

• 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 building modern backend and frontend applications on cloud / AWS using Java, Spring Boot, GraphQL or equivalent technologies.

• Experience with distributed systems and microservices, modern databases, queues, and workflow orchestration.

• Solid understanding of CI/CD pipelines and DevOps practices.

• Advertiser facing / demand-side experience: familiarity with key concepts including, but not limited to Media Planning, Audiences, Creatives, Measurement, Forecasting, Optimization, Ad Serving, Reporting, Billing, and Campaign or Order Management.

• Proven track record of championing AI adoption within a team, building standardized workflows that leverage generative AI.

• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

• Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.

• Excellent communication, negotiation, and relationship-building skills.

Strongly preferred (depth in any one of these areas is a significant plus):

• Applied ML / Gen AI engineering — hands-on experience applying AI, ML, or Gen AI to product problems, with the ability to read, reason about, and debug model and algorithm code — including comfort building and debugging the infrastructure around production agentic models: model deployment, real-time feature hydration, and integrating ML models into existing applications at scale. This is a collaborator role rather than a research or dedicated-MLE position; fluency and partnership matter more than authoring the models.

• Public / external-facing API engineering — experience designing and operating partner-facing APIs as a product: contract-first design, versioning and backward compatibility, idempotency, rate limiting and quota management, authentication, and developer experience (OpenAPI/Swagger, sandbox and dry-run environments)

• Media planning / ads domain depth — hands-on experience across the media-planning and pre-sales lifecycle, from RFPs through campaign activation, including agency and holding-company planning tools and programmatic guaranteed / deal-based buying workflows.

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 the changing landscape of ads regulations around the world.

• Experience working in the CTV space and knowledge of its unique constraints.

• Familiarity with recommendation systems, optimization, causal measurement, or experimentation frameworks.

• Exposure to big-data / ML tooling (e.g., Spark, Flink, feature/data pipelines).

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.