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About the role
Define the AI/ML investment roadmap for the Sales pod in close partnership with product and engineering, identifying where data science can drive the most meaningful improvements in Sales productivity and revenue outcomes. Design, build, and deploy production ML models, AI agents, and automation systems end-to-end.
What they're looking for
- Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field
- Track record of independently scoping and leading end-to-end ML projects in production environments — not just executing on defined projects, but identifying the right problems to solve and driving them from idea to measurable impact
- Strong strategic acumen: the ability to understand business objectives deeply and translate them into a prioritized technical roadmap
- Comfort with ambiguity and a proactive, curious approach to problem-solving — you can operate effectively in a space where the path isn't always laid out for you
- Excellent communication skills with both technical and non-technical audiences, paired with the curiosity and user empathy to understand Sales pain points and needs
- Proficiency in Python and SQL for building ML pipelines and models
More about this 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.
The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated ML lead for Sales productivity and automation within the Sales pod, you would partner closely with Product Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact — and then build it. We're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace.
As the ML lead for Sales productivity and automation,...
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