Netflix Logo

Netflix

Manager, Bidding & Pacing - Ads DSE

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
523K-920K Annually
Senior level
Remote
Hiring Remotely in USA
523K-920K Annually
Senior level
Lead and grow a team of ML scientists, data scientists, and analytics engineers to build bidding and pacing algorithms for Netflix Ads. Drive cross-functional partnerships with Product and Engineering, set roadmaps, ensure high-quality technical outputs, and translate business objectives into actionable analyses to optimize advertiser value and delivery across ad inventory.
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.

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 Bidding & Pacing team within Ads Data Science and Engineering owns the algorithms and systems that determine how advertiser budgets are converted into delivered impressions across Netflix's ad inventory. The team builds and evolves bidding and pacing strategies across different demand buy types and inventory types, with the goal of maximizing advertiser value. As a leader in this domain, you will collaborate closely with Product and Engineering partner teams to think expansively about our business goals and define the blueprint for achieving them through models and algorithms. Your team will apply rigorous analytical methods to evaluate concepts, dissect challenges, build models and workflows, provide recommendations, and drive success on end-to-end initiatives in this nascent (0-1) space.

Responsibilities

  • Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.

  • Lead strong partnerships with stakeholders from across the business - from product management, engineering, 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, 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 & impact the business.

The Ideal Candidate:

  • 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.

  • You are a player-coach. You can develop roadmaps and strategy, 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 Data Science and ML teams in the Ads space, ideally with exposure to real-time bidding, auction mechanics, or budget pacing / delivery optimization.

  • Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative 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 $523,000.00 - $920,000.00. 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.

Similar Jobs

An Hour Ago
Remote
United States
62K-96K Annually
Senior level
62K-96K Annually
Senior level
Beauty • Robotics • Design • Appliances • Manufacturing
Provides Tier 1 IT support for global associates, troubleshooting Windows and macOS endpoints, networks, identity and access, Microsoft 365, and software issues. Manages onboarding, offboarding, endpoint provisioning, and device administration using Intune, Autopilot, and Jamf. Documents resolutions, supports major incidents, escalates complex issues, and improves support processes. Requires up to 10% domestic and international travel and occasional after-hours support.
Top Skills: Active DirectoryConfluenceiOSJAMFJira Service ManagementmacOSMicrosoft 365Microsoft Entra IdMicrosoft IntuneWifiWindowsWindows Autopilot
An Hour Ago
Remote or Hybrid
141K-227K Annually
Expert/Leader
141K-227K Annually
Expert/Leader
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Owns new-logo acquisition and expansion across enterprise accounts for Mastercard Identity’s fraud and identity data products. The role prospectively builds pipeline, manages consultative and technical sales cycles, engages fraud, payment risk, trust and safety, data science, and engineering stakeholders, represents the company at industry events, and accurately forecasts against quota.
Top Skills: APIsData ScienceFraud ModelsIdentity DataWeb-Based Portals
An Hour Ago
Remote or Hybrid
141K-227K Annually
Entry level
141K-227K Annually
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Own new-logo acquisition and expansion across enterprise accounts for Mastercard Identity. Prospect independently, build qualified pipeline, manage consultative and technical sales cycles, and sell identity data solutions to fraud, payment risk, and trust and safety leaders. Navigate technical and business stakeholders, collaborate with Mastercard teams, represent the company at industry events, forecast accurately, and deliver against quota.
Top Skills: APIsIdentity DataWeb-Based Portals

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account