Netflix Logo

Netflix

Software Engineer 6 - Ads Signals & Targeting

Posted 2 Days Ago
Be an Early Applicant
In-Office
Los Gatos, CA, USA
499K-900K Annually
Senior level
In-Office
Los Gatos, CA, USA
499K-900K Annually
Senior level
Develop and enhance Netflix Ads’ audience targeting, contextual signals, and ad delivery systems. Build high-throughput distributed platforms handling large-scale data while protecting member privacy. Lead complex technical initiatives, simplify privacy systems, collaborate across product and engineering teams, mentor engineers, and influence technical roadmaps. Apply expertise in ad technology, programmatic advertising, data governance, and potentially machine learning and connected TV advertising.
The summary above was generated by AI

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 Ads Signals & Targeting team for Netflix Ads is responsible for improving ad supply eligibility through advancements in audience and contextual targeting, which is essential for ensuring a great member experience where members see the right ad at the right time. This involves managing the fundamental Signals and Target systems, and continuously evolving these systems to support outcome-based optimizations and probabilistic modeled audience targeting.


The Role

As a Software Engineer on the Ads Signals & Targeting team, you will be instrumental in developing and enhancing our ads targeting and audience capabilities, which leverage various signal sources to enable precise ad delivery and maximize advertiser value. In this dynamic and innovative environment, your contributions will have a significant impact on how we protect member data and privacy. You will collaborate with a team of talented professionals who are deeply passionate about ads technology and privacy, fostering a culture that values creativity, diversity, and continuous learning.


Skills & experience we’re seeking:


  • 8+ years of experience building distributed systems, core backend infrastructure, or high-throughput platforms.
  • Proven leadership at an L6/Staff/Principal level, collaborating with cross-functional stakeholders across product, engineering, design, and business, and delivering complex features with critical business impact.
  • Experience simplifying or consolidating privacy systems across teams, including sunsetting solutions that no longer serve the business.
  • Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
  • Proficiency in programming languages such as Java, Python, C++, or similar, with a strong grasp of software development principles and design patterns.
  • Experience in developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.
  • Proven experience in handling data at extremely large volumes with big data tools like Spark, and building high throughput low latency distributed systems that utilized the big data.
  • Track record of mentoring engineers within and beyond your immediate team and influencing technical roadmaps across adjacent teams through clear articulation of business impact.
  • Ability to thrive in a fast-paced, dynamic environment and effectively manage multiple priorities.
  • Knowledge of the ad tech and advertising landscape, including programmatic advertising and digital marketing trends.
  • Excellent communication, negotiation, and relationship-building skills, with the ability to work collaboratively with cross-functional teams.

Nice to haves:

  • Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
  • Experience with ads targeting using machine learning models.
  • 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.

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.

HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

Netflix San Jose, California, USA Office

San Jose, United States, 0

Netflix Santa Clara, California, USA Office

Santa Clara, United States, 0

Similar Jobs

2 Hours Ago
Hybrid
San Francisco, CA, USA
69K-215K Annually
Senior level
69K-215K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Underwrites complex Builders’ Risk and Inland Marine policies, evaluating construction projects, exposures, coverage, pricing, valuations, loss history, and catastrophe risks. Manages broker and client relationships, develops profitable business, monitors changing project exposures, and collaborates with Claims, Actuarial, Legal, Risk Engineering, and Product teams. Analyzes portfolio performance, improves underwriting processes and tools, communicates market trends, and mentors junior underwriters.
3 Hours Ago
Hybrid
160K-257K Annually
Expert/Leader
160K-257K Annually
Expert/Leader
Digital Media • Information Technology • News + Entertainment
Leads revenue growth and sales strategy across healthcare, pharmaceutical, and financial services advertising verticals. Builds senior client-direct and agency relationships, generates net-new demand, develops go-to-market plans, manages account strategies and forecasting, and translates industry trends into consultative media solutions. Partners cross-functionally to deliver advertising solutions and will eventually help build and lead a vertical sales team.
Top Skills: Ad TechDigital AdvertisingMultiscreen Tv Advertising
3 Hours Ago
Hybrid
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Manages strategic DSP and programmatic advertising partner accounts, owning account strategy, revenue growth, upsells, renewals, retention, and satisfaction. Serves as the primary partner contact for onboarding, business reviews, troubleshooting, escalations, and campaign performance. Builds executive presentations, identifies growth opportunities, resolves operational and technical issues, and coordinates Product, Engineering, Sales, and other teams to deliver partner objectives and successful campaigns.
Top Skills: Ad-Tech PlatformsCtvDigital VideoDspsExcelMS OfficeOutlookPowerPointProgrammatic Advertising

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account