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Software Engineer 5 - Ads Signals Conversion API
Los Gatos,California,United States of America; New York,New York,United States of America; Los Angeles,California,United States of America
·
On-site
·
Full-time
·
2mo ago
報酬
$388,000 - $619,000
福利厚生
•Healthcare
•Mental Health
•401(k)
•Equity
•Parental Leave
必須スキル
Conversion API
Event processing
Streaming architectures
Apache Kafka
Flink
Ad tech
Privacy compliance
Programmatic advertising
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 Ads Identity, Signals and Audiences team is committed to providing a relevant and engaging advertising experience that prioritizes member privacy. Our mission is to maintain accurate member identities and curate valuable Signals and Audiences ensuring that ads are engaging, optimized and compliant with consumer privacy choices and regional regulations.
The Role
As a Software Engineer on the Ads Identity, Signals and Audiences team, you will be instrumental in designing and developing Netflix Conversion APIs. These APIs are essential for powering critical 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:
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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.
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Unlocking Conversion Value: Expertise in leveraging conversion events to enable valuable derivative services, such as retargeting and outcome-based optimization.
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Streaming Architectures: Practical experience with streaming event architectures and related technologies (e.g., Kafka, Flink).
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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.
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Collaboration and Communication: Excellent communication, negotiation, and relationship-building skills, with a proven ability to work collaboratively across diverse, cross-functional teams.
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Adaptability: Ability to thrive and effectively manage multiple priorities in a fast-paced, dynamic work environment.
Nice to Haves:
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Familiarity with clean rooms and industry-leading privacy-enhancing technology for multi-party data sharing.
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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 $388,000.00 - $619,000.00.
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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Netflixについて

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
従業員数
Los Gatos
本社所在地
$280B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
4.0
経営陣
3.2
68%
友人に勧める
良い点
Great benefits and perks
Supportive team and culture
Competitive salary and compensation
改善点
Fast-paced and high pressure environment
Work-life balance issues
High workload and long hours
給与レンジ
1,875件のデータ
Mid/L4
Mid/L4 · Analytics Engineer
7件のレポート
$274,996
年収総額
基本給
$211,536
ストック
-
ボーナス
-
$274,996
$358,605
面接体験
4件の面接
難易度
4.0
/ 5
内定率
25%
体験
ポジティブ 25%
普通 25%
ネガティブ 50%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
ニュース&話題
Netflix work life balance?
Mixed reports: some describe it as 'demanding but respectful', others call it a 'meat grinder'. WLB varies significantly by team and manager. Rating: 3.6/5 on Glassdoor.
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3d ago
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News
·
3d ago




