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Principal Engineer

Ads Platform Engineering

Confirmed live in the last 24 hours

10,001+ employees

Website

Subscription streaming entertainment service

Company Overview

Netflix's mission is to entertain the world. The company operates a streaming platform for movies & TV shows and has over 222 million subscribers globally.

Consumer Software

Education

Company Stage

IPO

Total Funding

$5B

Founded

1997

Headquarters

Los Gatos, California

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↑ 1%

2 year growth

↑ 6%

Locations

Remote in USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Sales

CategoriesNew

Sales & Account Management

Software Engineering

Requirements

Deeply experienced in building core ad tech systems such as ad servers, bidders and pacers, yield optimizers, targeting reach estimation systems
Familiar with forecasting models and has used them for inventory management, enabling sales operations and enabling both reservation and auction based buying models at scale
Has worked closely with ad operations to enable campaign setup, targeting, reporting and advertiser needs
Has built or operated integrations with DMPs and worked on audience targeting
Has enabled an publisher side A/B innovations and/or enabled advertiser experimentation and supported A/A, A/B setups that are reliable and robust
Has had a recognizable presence in the advertising industry seen via talks, lectures or whitepapers, on various advertising topics

Desired Qualifications

Thorough understanding of ad marketplace transactions. Familiar with the sales tooling and third party integrations that enable the flow of deals from the advertiser ecosystems into campaigns and impressions
Familiarity with brand lift measurement, incrementality based outcomes measurement, bidding and experimentation
Familiarity with legal compliance and changing landscape of ads regulations around the world
Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort

At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created and delivered to a global audience. We currently stream content in more than 30 languages in 190 countries, topping over 220 million paid subscribers.

We recently launched a new ad-supported tier to offer our members with 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 immersed.

Our Team

The Ads Platform Engineering team builds the advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, 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.

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 a thought leader in the advertising space who is excited to join us on this journey.

Skills & experience we’re seeking:

Deeply experienced in building core ad tech systems such as ad servers, bidders and pacers, yield optimizers, targeting reach estimation systems.
Familiar with forecasting models and has used them for inventory management, enabling sales operations and enabling both reservation and auction based buying models at scale.
Has worked closely with ad operations to enable campaign setup, targeting, reporting and advertiser needs.
Has built or operated integrations with DMPs and worked on audience targeting.
Has enabled an publisher side A/B innovations and/or enabled advertiser experimentation and supported A/A, A/B setups that are reliable and robust.
Has had a recognizable presence in the advertising industry seen via talks, lectures or whitepapers, on various advertising topics.

Nice to haves:

Thorough understanding of ad marketplace transactions. Familiar with the sales tooling and third party integrations that enable the flow of deals from the advertiser ecosystems into campaigns and impressions.
Familiarity with brand lift measurement, incrementality based outcomes measurement, bidding and experimentation.
Familiarity with legal compliance and changing landscape of ads regulations around the world.
Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $300,000 - $900,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. 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.