Software Engineering 5 - Ads Conversion Attribution

Netflix; New York (NY); On-site; USD 388,000 - 558,000; Full time

Benefits offered by this job

Health Plans

401(k) Retirement Plan with employer match

Flexible Time Off

Job summary

Netflix is seeking motivated engineers to join the Ads Platform Engineering team, responsible for building advertising systems that deliver impactful results while ensuring a seamless viewing experience. As part of a dynamic organization, you'll handle complex challenges in the Connected TV advertising space.

The role includes developing conversion attribution systems and contributing to ad performance analysis, all while navigating privacy regulations. Netflix offers a competitive compensation range of $388,000 – $558,000, along with comprehensive benefits that include health plans, retirement options, and flexible time off.

Qualifications

• Experience with advanced conversion attribution modeling.
• Broad knowledge of programmatic advertising and digital marketing trends.
• Comfortable with modern programming languages in cloud-based environments.

Responsibilities

• Build and optimize systems for quantifying campaign outcomes.
• Deliver impactful advertising systems to monetize content.
• Ensure advertiser brand safety during ad serving.

Skills

Experience building 0-to-1 conversion attribution systems

Knowledge of ad tech and advertising landscape

Ability to thrive in a fast-paced environment

Excellent communication skills

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:

• Experience building 0-to-1 conversion attribution systems in a privacy‑safe way while navigating signal loss from third‑party cookie limitations.
• Experience with advanced conversion attribution modeling approaches and methodologies.
• Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
• Developed many cloud‑based applications and comfortable with modern programming languages (preferably object‑oriented).
• Ability to thrive in a fast‑paced, dynamic environment and manage multiple priorities effectively.
• Excellent communication, negotiation, and relationship‑building skills.

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 $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.

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.