Netflix Logo

Netflix

Senior Manager, Ad Ranking - Ads DSE

Sorry, this job was removed at 01:16 a.m. (PST) on Friday, Apr 24, 2026
Be an Early Applicant
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

Similar Jobs

2 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
127K-271K Annually
Senior level
127K-271K Annually
Senior level
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Leads integrated B2B marketing strategy across healthcare professional, pharmaceutical, pharmacy, employer, payer, and health technology segments. Owns HCP lifecycle marketing, messaging, content, campaigns, commercialization, cross-functional programs, measurement, and executive recommendations. Develops collateral and governance, coordinates stakeholders across marketing, sales, analytics, communications, and commercial teams, and supports industry events. Drives scalable marketing practices, audience engagement, revenue growth, and measurable ROI.
2 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
135K-187K Annually
Senior level
135K-187K Annually
Senior level
Consumer Web • Software • Travel
Build production-grade tools, services, automations, data pipelines, and integrations that support Sales and Growth. Identify account signals, prioritize opportunities, improve GTM workflows, and rapidly prototype experiments. Partner with sales and growth leaders to translate business needs into scalable technical solutions while maintaining strong architecture, security, reliability, and quality standards.
Top Skills: AIAPIsData PipelinesLlm-Based ToolsSalesforceSnowflake
5 Minutes Ago
Remote or Hybrid
USA
20-23 Hourly
Entry level
20-23 Hourly
Entry level
Fintech • Healthtech • HR Tech • Information Technology • Financial Services • Telehealth
Provides empathetic phone and chat support to families navigating loss, disability leave, and other difficult life events. Responsibilities include creating care plans, researching resources and service providers, answering logistical questions, documenting interactions, meeting service levels, escalating sensitive issues, maintaining knowledge resources, and sharing user insights. The role requires independent work, strong communication, organization, problem-solving, adaptability, and comfort with technology and sensitive data.
Top Skills: Google SuiteSlackZendesk

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.

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.

The Ad Ranking team in Ads Data Science and Engineering plays a crucial role in Netflix's ad business growth. The team is responsible for improving ad quality and performance, leveraging both first party and third party signals, and advanced machine learning and optimization algorithms. Core areas of focus include identity science, user understanding, audience & targeting, relevance and prediction models, and bidding / pacing algorithms. We are looking for a visionary leader with strong domain expertise in digital advertising ranking and quality optimization, to collaborate closely with partner teams and strategize on overarching business goals. Your team will be at the forefront of developing and implementing advanced representation / deep learning models and optimization algorithms, driving significant enhancements to our advertising systems. With a commitment to analytical rigor, your team will also evaluate ideas, dissect problems, build workflows, provide recommendations, and lead end-to-end analytics initiatives in this transformative space.

Responsibilities 

  • Hire, inspire, and grow high-performing machine learning and domain scientists, analysts, and managers.

  • Lead strong partnerships with stakeholders from across the business - from product management, engineering, finance, consumer insights, content, and strategy.

  • Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.

  • Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.

  • Act as an ambassador between the Product, Engineering, Finance, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.

  • Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. 

The Ideal Candidate: 

  • Deep domain expert in identity science, ad targeting, ad ranking, and delivery optimization.

  • Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions. 

  • Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization, and our Hollywood and global partners. 

  • You are a player-coach. You can develop roadmaps and strategies, but also execute on technical work and ensure that your team produces consistent high quality outputs.

  • Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences. 

  • Experience building and leading hybrid Science, ML and Algorithm teams in the ad space, with manager reports.

  • Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations 

  • A passion for TV and movies and defining the future of entertainment


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 $676,000.00 - $1,195,000.00. 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.

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

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