Senior Manager, Applied Science
Viant Technology Inc - Irvine, California, United States; Los Angeles, California, United States; San Francisco, CA; Seattle, Washington, United States; United States
Posted Mar 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Senior Manager, Applied Science Irvine, California, United States; Los Angeles, California, United States; San Francisco, CA; Seattle, Washington, United States; United States WHAT YOU'LL DO The Machine Learning team at Viant is revolutionizing the Ad Tech industry with innovative machine learning systems. By automating manual processes in creating, launching, and measuring digital ads, we build autonomous systems that process hundreds of millions of events daily. We are seeking an experienced and visionary Senior Manager, Applied Science to lead the development and implementation of machine learning solutions that drive significant business impact. In this role, you will define the team's strategic direction, cultivate a high-performance engineering culture, and deliver innovative models and systems to address complex business challenges. THE DAY-TO-DAY - Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives. - Own the end-to-end development, deployment, and maintenance of machine learning models that power Viant's products and services. - Develop and coach a team of machine learning engineers, fostering a culture of excellence in engineering practices, architecture, and quality. - Apply advanced machine learning techniques, including supervised learning and causal inference, to solve problems such as content demand forecasting, incremental value measurement, and personalization. - Collaborate with cross-functional teams, including Product, Finance, and Content leadership, to deliver actionable insights and guide strategic decisions. - Drive innovation by researching and implementing new methodologies, statistical techniques, and machine learning approaches. - Build and nurture relationships with stakeholders, ensuring timely delivery of impactful machine
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