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Netflix

Software Engineer 6 - Ads Conversions API

Reposted 23 Days Ago
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Remote
Hiring Remotely in USA
499K-900K Annually
Senior level
Remote
Hiring Remotely in USA
499K-900K Annually
Senior level
Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.
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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 deeply engaged audiences.

Our Team

The Netflix Audience Activation team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our team is responsible for the intake and processing of advertiser engagement signals in a privacy safe way.

The Role

As a Software Engineer on the Audience Activation team, you will be instrumental in designing and developing Netflix Conversion APIs and Audience Onboarding systems. These systems are essential for powering critical Audience Onboarding & Activation, Measurement, Optimization, Retargeting and Reporting capabilities. Your responsibilities will include building high-volume, low-latency services capable of ingesting consented user engagement events from Advertiser properties in near-real-time. This ingestion will support various methods, including server-to-server streaming, pixel requests, and batch uploads. You will join a skilled team of professionals dedicated to ads technology and user privacy, collaborating within a culture that strongly promotes continuous learning, diversity, and creativity.

Required Experience and Skills:
  • Technical Leadership: Proven track record of solving highly complex, ambiguous, business critical technical problems which require significant cross-organization collaboration.

  • Conversion API and Event Processing: Demonstrated experience in building server-to-server, batch and pixel Conversion APIs. This includes processing conversion events from diverse sources to create high-fidelity, identity and attribution-enriched, and deduplicated "gold" data sets for consumption by downstream services.

  • Unlocking Conversion Value: Expertise in leveraging conversion events to enable valuable derivative services, such as retargeting and outcome-based optimization. 

  • Streaming Architectures: Practical experience with streaming event architectures and related technologies (e.g., Kafka, Flink).

  • Ad Tech and Privacy Knowledge: Strong understanding of the ad technology and advertising landscape, including programmatic advertising and current digital marketing trends. Familiarity with global ads regulations, as well as privacy, consent, and legal compliance.

  • Collaboration and Communication: Excellent communication, negotiation, and relationship-building skills, with a proven ability to work collaboratively across diverse, cross-functional teams.

  • Adaptability: Ability to thrive and effectively manage multiple priorities in a fast-paced, dynamic work environment.

Nice to haves:
  • Experience designing and building scalable batch and streaming advertiser custom audience data onboarding and activation systems for online advertising platforms. 

  • Familiarity with clean rooms and industry-leading privacy-enhancing technology for multi-party data sharing.

  • 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 - $900,000.00. This compensation range will vary based on location.

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.

Job is open for no less than 7 days and will be removed when the position is filled.

Netflix New York, New York, USA Office

245 W 17th St, New York, NY, United States, 10011

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