Software Engineer 5 – Ads Inventory Management, Forecasting

October 10

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. • Builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization. • Work on building highly performant advertising systems and delivering high impact to business by monetizing incredible slate of content. • Collaborate with engineers working in the advertising space to build unique value propositions that help differentiate from the competition and become a market leader.

🎯 Requirements

• Professional experience in building sophisticated ads forecasting systems which involves ML models and high performance ad server simulation that accounts for constraints like frequency capping, targeting, publisher policy, and other business parameters. • Professional experience in building publisher inventory management solutions that supports monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield management. • Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high-throughput, low-latency distributed systems that utilize big data. • General understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management. • Developed many cloud based applications and comfortable with modern programming languages (preferably object oriented). • Familiar with A/B testing and experimentation. • Experience in working with cross-functional teams to drive large and complex projects. • Nice to haves: Good understanding of Lucene index and had experience building Lucene index with large volume of data. • Experience in productionizing ML models and deploying models at scale. • 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 changing landscape of ads regulations around the world. • Experience working in the CTV space and knowledge of its unique constraints

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off • Full-time salaried employees are immediately entitled to flexible time off