Sr. Manager, Ad Ops Demand Management (UCAN)

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.

At Netflix, our mission is to entertain the world through stories shared at the right place and time. The Ad Ops Demand Management team is a cornerstone of the Ads Operations organization at Netflix, providing critical operational leadership and partnership to our regional sales teams across US and Canada. This team ensures seamless campaign execution, contextualizes pacing and delivery dynamics, and proactively governs deal operations throughout their lifecycle.

As the Sr. Manager of Ad Ops Demand Management, you will provide operational leadership to a regionally-embedded, high-performing team, setting the standard for how the team works, how it partners with the UCAN Sales & Account Management, and how it scales. You will drive a culture where AI solutions are the default, building a team that is equipped and expected to solve problems at scale without defaulting to manual or offline approaches. 

The ideal candidate is a seasoned digital advertising operations executive with deep operational mastery, a data-driven mindset, and the executive presence to hold their own with senior leaders across Sales, Product, and Engineering teams.

In this role, you will: 

• Lead, develop, and inspire a team of Demand management leads and senior specialists aligned to regional revenue pods. Provide the teams with the context necessary to do their best work.

• Align with other regional leads to define the strategic vision for demand management, while tailoring execution to the unique needs of regional sales teams and business objectives.

• Direct end-to-end campaign and deal readiness, pacing, and delivery, leveraging advanced automation and AI solutions to drive efficiency, early issue detection, and continuous improvement.

• Serve as the primary operational advisor to Sales and Account Management, translating data and system outputs into actionable business insights.

• Build a team culture that champions automation-first approaches where scalable, tool-native thinking is the starting point, not an afterthought.

• Collaborate cross-functionally with Sales, Account Management, Ad Ops Solutions, Product, and other teams to ensure seamless execution and rapid resolution of operational issues.

• Triage and escalate complex technical problems to Ad Ops Solutions, maintaining focus on proactive oversight rather than execution.

• Provide regular reporting and operational insights, supporting revenue growth and campaign success through data-driven decision-making.

• Optimize workflows for scalability, continuously identifying and implementing process improvements to increase speed and clarity.

• Anticipate and address evolving operational needs as the business scales, ensuring the team is equipped to support future business growth & transformation.

Basic Qualifications

• 10+ years of experience in digital advertising operations, ad tech, or related roles, with significant expertise across the programmatic ecosystem—including DSPs, SSPs, aggregators, resellers, and other supply and demand platforms

• 7+ years of people management experience, leading high-performing teams in fast-paced, dynamic environments

• Demonstrated ability to operate with confidence at the senior stakeholder level, communicating operational complexity clearly, pushing back constructively when needed, and building credibility with senior leadership without relying on escalation

• Deep knowledge of campaign/deal lifecycle management—including readiness, spend trends, and performance monitoring—across both direct and programmatic channels

• Strong understanding of programmatic media buying, inventory management, auction dynamics, and the operational nuances of indirect demand (including deal desks, private marketplaces, and always-on programmatic channels)

• Demonstrated ability to leverage automation, genAI, and data analytics to drive operational efficiency and scale within the digital advertising landscape

• Proven ability to surface operational insights and translate complex, cross-channel data into clear, actionable recommendations for revenue teams

• Experience collaborating with cross-functional partners, including Sales, Account Management, Product, Ad Ops Solutions, and external technology or data vendors

• Excellent communication and presentation skills, able to distill technical or operational complexity into business clarity

• Forward-thinking, adaptable mindset with a keen eye for industry trends, scalability, and continuous improvement in programmatic and digital advertising operations

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.