Full Stack Engineering 4 - Ads Measurement

Netflix

Los Angeles (CA)

On-site

USD 250,000 - 413,000

Full time

14 days+

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Benefits offered by this job

Health plans
Mental health support
401(k) with employer match
Stock options
Disability programs
Health savings / FSA
Flexible time off
Paid time off

Job summary

Netflix is building out its Ads Platform Engineering team to power advertising systems and integrations within the Netflix ecosystem. The group aims to monetize content while preserving a high-quality member experience, leveraging a mix of client and server‑side ad tech, data modeling, and privacy‑aware architectures.

The team seeks engineers with strong skills in C++, Java, HTML/CSS/TypeScript, and modern frontend frameworks to build scalable ad delivery and measurement tools across connected

Qualifications

  • General understanding of Ads domain.
  • Strong knowledge of a general purpose object‑oriented language like C++, Java, etc.
  • Strong knowledge of HTML, CSS, and TypeScript.
  • Experience with frontend frameworks and libraries, such as React or Angular.
  • Experience interfacing with REST APIs and/or GraphQL endpoints.
  • Understanding of database concepts, SQL, and data modeling capabilities.
  • Understanding of UX and UI design principles.

Skills

Ads domain understanding
OOP languages
HTML/CSS/TypeScript
Frontend frameworks (React/Angular)
REST/GraphQL APIs
SQL/data modeling
UX/UI principles

Job description

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.

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 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.

The Ads Measurement team builds systems that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and first‑party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers. Our tools empower advertisers to effectively measure and analyze these outcomes.

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
  • General understanding of Ads domain
  • Strong knowledge of a general purpose object‑oriented language like C++, Java, etc.
  • Strong knowledge of HTML, CSS, and TypeScript
  • Experience with frontend frameworks and libraries, such as React or Angular
  • Experience interfacing with REST APIs and/or GraphQL endpoints
  • Understanding of database concepts, SQL, and data modeling capabilities
  • Understanding of UX and UI design principles
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 changing landscape of ads regulations around the world.
  • Experience working in the CTV space and knowledge of its unique constraints.
  • Familiarity with clean rooms and industry‑leading privacy‑enhancing technology for multi‑party data sharing.

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 $250,000.00 – $413,000.00.

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.

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