Software Engineering 6 - Ads Engineering

Netflix; New York, Los Gatos (NY, CA); On-site; USD 499,000 - 820,000; Full time

Benefits offered by this job

Health plans

401(k) with employer match

Stock option program

Job summary

Netflix is seeking an experienced Ads Platform Engineer within the Ads Platform Org in New York, NY. You will help orchestrate the end-to-end campaign lifecycle, from planning to delivery, build in-house ad tech solutions, and collaborate with cross-functional teams to drive monetization through meaningful ad experiences.

The role emphasizes developing APIs and services using data-driven insights, while ensuring alignment with brand safety, audience targeting, and measurement requirements.

Qualifications

• 7+ years of experience in ads or related field
• 4+ years in Ads domain
• Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends
• Familiarity with full campaign lifecycle from pre-flight to post-flight
• Experience building first-party tools, APIs and services using data and real-time insights
• Experience with audiences, creatives, measurement, forecasting, ad serving, reporting, billing and OMS

Responsibilities

• Build applications and APIs that support every stage of the media planning process
• Develop full-cycle campaign management tools from setup to monitoring to completion
• Create tools to facilitate setup and execution of ads on Live Events
• Provide transparency on performance and deliver actionable insights
• Collaborate with Ads Platform teams (Engineering, Product, Data Science, Design) to drive tech and business value

Skills

Ads domain experience

Programmatic advertising

Digital marketing trends

Campaign lifecycle management

APIs and services

Data-driven insights

Communication and negotiation

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.

We launched a new ad-supported tier in November 2022 to offer our members 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 engaged. We wrapped up our first three years of the journey and are well into year four with more exciting things to come!

Ads Platform Org

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.

About Our Team

The Campaign Management & Media Planning team is central to orchestrating the end-to-end campaign lifecycle and media planning capabilities for Netflix’s advertising business. We are building innovative, in-house ad tech solutions that empower advertisers and internal stakeholders to seamlessly plan, launch, monitor, and optimize campaigns at scale. Our systems serve as the bridge between advertiser intent and ad delivery, enabling seamless integration, automation, optimization, compliance adherence, troubleshooting, and management of advertising campaigns. We closely collaborate with partner teams across Order Management, Creatives, Audiences, Forecasting, Measurement, Reporting, and more to facilitate effective campaign management and media planning on behalf of our members, advertisers, and Netflix.

The team focuses on a few key areas in those domains

• Building applications and APIs that support every stage of the media planning process, from initial plan creation and inventory allocation through to campaign activation and completion.
• Building applications for full-cycle campaign management - from setup through to monitoring and troubleshooting through to completion.
• Building applications to facilitate the setup and execution of ads on Live Events
• Providing transparency on performance as well as delivering actionable insights and recommendations to users
• Collaborating with other stakeholders across Ads Platform (Engineering, Product, Data Science, and Design) to build solutions that will provide leverage for our technology and business.

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:

• 7+ years of experience, 4+ years of experience in Ads domain
• Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
• Familiarity with the full campaign lifecycle - from pre-flight, to in-flight, to post-flight.
• Experience in building first party tools, APIs and services that leverage data and real-time insights to support media planning and campaign management workflows.
• Familiarity with the main aspects required for a successful campaign - including, but not limited to Audiences, Creatives, Measurement, Forecasting, Ad Serving, Reporting, Billing, and OMS.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Excellent communication, negotiation, and relationship-building skills.

Nice to haves:

• Working knowledge of AI/ML/GenAI techniques and an ability to apply them to everything from optimizing Ad Ops workflows to building MCPs
• Experience working in the CTV space and knowledge of its unique constraints

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 $499,000.00 - $820,000.00.

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.