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’re seeking a seasoned Research Program Manager with quantitative expertise to join our Custom Research Operations Pod—a centralized team within the Data & Insights organization. As part of a collaborative group of Research Program Managers, you’ll partner with Researchers, Analysts, and peers in Localization and Data Science & Engineering, as well as external vendors, to deliver impactful custom research at scale.

In this role, you’ll take a hands-on approach to quantitative research projects, actively driving each stage from inception to execution. In partnership with Researchers and a network of specialized vendors, you will contribute to project scoping, assessing feasibility, and developing robust project & sampling plans. You’ll dive into questionnaires to ensure quality, implement and refine messaging and sampling strategies to survey the right audiences, and apply rigorous data quality assurance measures. You’ll also ensure governance and compliance requirements are met, while proactively managing budgets and resources. Through these efforts, you’ll impact operational excellence in primary research, enabling our Consumer Insights practice to deliver extraordinary insights that inform Netflix’s global strategy and ability to learn from our Consumers.

Responsibilities:

• Partner closely with Researchers, Analysts and external vendors (e.g., survey programmers, panel providers) to ensure seamless quantitative project execution.

• Work with peers to define realistic research objectives, assess feasibility, and create detailed project plans, timelines, and sampling strategies.

• Review and optimize survey instruments for clarity, logic, and data quality; oversee testing and troubleshooting of survey links.

• Develop and refine sampling plans to ensure target audience representation; oversee fieldwork progress, monitor response rates, and address any operational issues.

• Implement rigorous data quality checks, monitor for fraud or bias, and ensure all research activities adhere to privacy, governance, and compliance standards.

• Source, onboard, and manage external vendors; negotiate contracts and manage relationships to ensure high-quality, cost-effective deliverables.

• Proactively manage project budgets and timelines, anticipating risks and solving problems to keep projects on track.

• Identify opportunities to streamline research operations, improve efficiency, and introduce new tools or methodologies to elevate the impact of research.

• Maintain comprehensive project documentation and provide regular updates to stakeholders on project status, risks, and outcomes.

Qualifications:

• 7+ years in program or project management, with focused experience in quantitative research operations or a related technical field, collaborating closely with researchers and/or vendors.

• Professional experience with quantitative research tools, survey and programming platforms (e.g., Forsta), data visualization tools, and program management software (e.g., Airtable).

• Foundational understanding of research quality principles, including sampling, panel health, data integrity, statistical concepts, research design, and data management.

• Experience in project management methodologies, documentation frameworks, and research toolsets; adept at managing multiple priorities and meeting deadlines in a dynamic environment.

• Strong written and verbal communication skills, with the ability to collaborate effectively across cross-functional teams, stakeholders, and external partners.

• Pragmatic problem solver with a passion for identifying areas of improvement, finding the right solutions, and driving innovation within research operations.

• Demonstrated interest in leveraging AI, automation, and emerging technologies to make research operations more scalable, efficient, and intelligent.

• Comfortable working across global time zones and adapting to the needs of diverse teams and partners.

• Passion to dive into details and remain hands-on to ensure project success.

• Ability to make sound, contextualized decisions independently, while knowing when to escalate issues or seek input.

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 $260,000.00 - $370,000.00.

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.