Software Engineer 6 - Ads Signals & Targeting
About The Position
The Software Engineer will develop and enhance ad targeting and audience capabilities for Netflix’s Ads Signals & Targeting team. These capabilities use multiple signal sources to support precise ad delivery and maximize advertiser value. The role contributes to protecting member data and privacy while working in a dynamic environment with colleagues focused on advertising technology and privacy. The team improves ad supply eligibility through audience and contextual targeting, manages core Signals and Target systems, and evolves them to support outcome-based optimization and probabilistic modeled audience targeting.
Requirements
- At least 8 years of experience building distributed systems, core backend infrastructure, or high-throughput platforms.
- Leadership at an L6/Staff/Principal level, collaborating with cross-functional stakeholders 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 designing and building user and contextual signals and audience-targeting features for ad platforms.
- Proficiency in Java, Python, C++, or similar programming languages, with a strong grasp of software development principles and design patterns.
- Experience developing distributed cloud-based applications and proficiency in modern programming languages, preferably object-oriented.
- Experience handling extremely large volumes of data with big data tools such as Spark, and building high-throughput, low-latency distributed systems that use big data.
- Track record of mentoring engineers and influencing technical roadmaps across adjacent teams.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.
- Knowledge of ad technology and the advertising landscape, including programmatic advertising and digital marketing trends.
- Excellent communication, negotiation, and relationship-building skills, with the ability to collaborate across 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 in the CTV space and knowledge of its unique constraints.
Responsibilities
- Develop and enhance ads targeting and audience capabilities using various signal sources.
- Contribute to precise ad delivery and maximizing advertiser value.
- Help protect member data and privacy.
- Collaborate with cross-functional stakeholders across product, engineering, design, and business.
- Deliver complex features with critical business impact.
- Mentor engineers within and beyond the immediate team.
- Influence technical roadmaps across adjacent teams by articulating business impact.
- Manage multiple priorities in a fast-paced, dynamic environment.
Benefits
- Health plans
- Mental health support
- 401(k) retirement plan with employer match
- Stock option program
- Disability programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and serious injury benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for vacation, holidays, and sick paid time off.
- Full-time salaried employees are immediately entitled to flexible time off.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
