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Senior Researcher - Ads Experiences

Netflix
USA - Remote, United States, United StatesRemotefull_timeVerifiedPosted 3 May 2026
💰 $470,000/yr($294,000/yr$470,000/yr)

About the role

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 are at the beginning of our journey of building the next generation of advertising business tools, products, and formats at Netflix, this is an exciting time to join our team! The Ads  Research team’s goal is to lead, uncover, and deliver research and insights that translate directly into product and business impact, guiding the development of advertising experiences and features enjoyed by millions of people all over the world, and by our advertising clients.

The scope of this role is a tremendous opportunity for leadership and impact in a zero-to-one initiative within Netflix. This role will partner with Product, Data Science, Design, Business, and other cross-functional and research teams to understand their insights needs and develop, execute, and deliver best-in-class quantitative research to address them.  


In this role, you will:

  • Partner with cross-functional teams and fellow researchers (including Business Stakeholders, Design, Product Management, Engineers, and Data Scientists) to develop, lead, execute, and socialize a roadmap of high-impact research initiatives (both fast-moving product research and long-term strategic business research). 

  • Have the interest and motivation to get deep into the technical product and business needs that are part of Netflix's advertising world and also connect with multiple other parts of Netflix, such as the Member Experience, Content, Commerce, etc.

  • Have the ability to respond to changing needs across the business and organizations to identify and prioritize impactful opportunities in an environment where balancing depth with velocity is paramount. 

  • Engage with Netflix members and advertisers in research worldwide to uncover pain points and unmet needs and translate them into actionable business recommendations. 

  • Thoughtfully evangelize the role of research and scale practice in environments where a research culture/infrastructure does not exist,  is nascent, or is competing with other priorities within the product and business development process.

  • Cut through competing perspectives and approaches to tell powerful, objective insights and stories that can land across diverse technical and non-technical audiences. 

  • Identify opportunities to establish new points of view and capabilities that evolve our advertising product and UX research function.

  • Need to balance several projects simultaneously at different stages (from idea to presentation), both tactical and strategic, in order to steadily deliver a portfolio of insights.

In this role, you’ll need to be:

  • Comfortable putting a stake in the ground, even without all the data you need.

  • Making the connections no one else sees.

  • Standing firm in the face of change, uncertainty, and challenge.

  • Equal parts creative and analytical.

  • Both an excellent collaborator and a self-starter and know what it means to be both simultaneously.


In this role, you’ll need:

  • Demonstrable experience in product research and/or user experience (UX) research, with particular expertise and hands-on experience leading end-to-end quantitative research studies that inform business and product strategy. Including, but not limited to:

    • Expertise in large-scale survey methodologies and complex survey analysis modeling (like SEM, forced-choice modeling, longitudinal surveying, and A/B surveys).

    • Knowledge of relevant statistical concepts such as hypothesis testing, regression/linear models, experimental design, and experience with longitudinal analysis, multilevel/mixed effects modeling, choice-based modeling, psychometrics, etc.

    • Triangulation and testing of relationships between consumer attitudes (e.g., survey questions) and behavioral signals (e.g., product usage logs).

    • Development of survey scales and questionnaires suitable for consumer research across global markets, taking into account local customs, response biases, and the reliability of comparisons across countries.

  • A balance of creative and analytical skills with the ability to proactiv

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Company

Netflix

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