Engineering Manager - Ads Campaign Management

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 Engineering team at Netflix is dedicated to creating a world-class advertising ecosystem that drives our advertising business. This team's mission is to develop advanced technology that ensures exceptional experiences for both our members and advertisers. Our responsibilities encompass a broad spectrum of products, ranging from sales and media planning to optimizing advertiser outcomes and execution. This includes inventory and order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance.

We use several Netflix investments and innovations - 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 so that members only see the most appropriate ads for them.

Our team is 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 us and become a market leader in record time.

Our roles come with expectations of delivering in a rapid clip, comfort with lofty goals and big ambitions, the visibility that comes with strategic initiatives, and responsibility and an appetite to operate like a startup within an established company.

The Ads Campaign Management team is responsible for our in-house Order Management System (OMS) used by our account managers to facilitate the booking and execution of advertising campaigns on behalf of Agencies, Brands, and Advertisers. The team owns key parts of our campaign hierarchy (Orders, Line Items) and closely intersects with almost every other team across Ads Engineering (Creatives, Forecasting, Audiences, Measurement, Ad Serving, etc) as well as business teams across Account Management and Ad Operations to facilitate the set-up, execution, and monitoring of ads across the Netflix ecosystem.

• Drive success in a fast paced, flat organization with minimal process and a heavy emphasis on ownership.
• Support your team by contextualizing the larger vision, enabling prioritization and fostering high focus and executional excellence.
• Operate as an ambassador of the Netflix Culture
• Create a dream team by hiring, retaining, and growing high performing talent.

• Experience designing and building campaign management systems used by ad operations teams, advertisers, and agencies for campaign setup, trafficking, and lifecycle management across multiple sales channels (direct, programmatic, self-serve, etc.).
• Proven ability to deliver APIs and user interfaces that enable campaign creation, editing, flighting, targeting, and budget management for both simple and complex campaign structures.
• Experience building monitoring and troubleshooting tools to ensure campaign integrity, enforce business rules, and provide transparency into campaign status, pacing, and delivery performance.
• Familiarity with workflow automation, approval processes, and SLA tracking to streamline campaign launch and reduce operational friction for internal and external stakeholders.
• Demonstrated success in leveraging data and ML-driven…