Software Engineer 6 - Ads Signals & Targeting

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
499K-900K Annually
Senior level
News + Entertainment
The Role
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.
Summary Generated by Built In

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.

Skills Required

  • 8+ years of experience building distributed systems, core backend infrastructure, or high-throughput platforms
  • Leadership experience at an L6, Staff, or Principal level
  • Experience collaborating cross-functionally across product, engineering, design, and business teams
  • Experience delivering complex features with critical business impact
  • Experience simplifying or consolidating privacy systems across teams
  • Experience designing and building user and contextual signals and audience targeting features for advertising platforms
  • Proficiency in Java, Python, C++, or similar programming languages
  • Strong understanding of software development principles and design patterns
  • Experience developing distributed cloud-based applications
  • Experience handling extremely large data volumes with big data tools such as Apache Spark
  • Experience building high-throughput, low-latency distributed systems using big data
  • Experience mentoring engineers and influencing technical roadmaps across adjacent teams
  • Ability to manage multiple priorities in a fast-paced, dynamic environment
  • Knowledge of ad technology, programmatic advertising, and digital marketing trends
  • Excellent communication, negotiation, and relationship-building skills
  • Understanding of data privacy, governance, security concepts, and Privacy by Design principles
  • Experience with advertising targeting using machine learning models
  • Experience in the connected television space and knowledge of its constraints

Netflix Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netflix and has not been reviewed or approved by Netflix.

  • Fair & Transparent Compensation — Compensation is positioned as “personal top of market” with regular recalibration and broad posted ranges for senior roles that signal the philosophy. The cash‑forward structure and clearly described pay‑mix choices help set expectations on how pay is determined.
  • Equity Value & Accessibility — Employees can choose the mix of cash versus fully vested 10‑year stock options, with grants structured to be retained even after departure. This employee‑directed design increases accessibility and control over equity participation.
  • Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, and mental health, with employer funding designed to offset premiums. Additional resources like counseling/coaching and wellness support reinforce breadth in care access.

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The Company
HQ: Los Gatos, CA
13,212 Employees
Year Founded: 1997

What We Do

Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

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