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Viant Technology Logo

Principal Product Manager, AI

Viant Technology

$180,000 - $230,000
Aug 24, 2025
Remote, US
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Viant is seeking to lead the vision, strategy, and execution of their Viant AI Suite, an award-winning set of innovative AI-powered advertising products that transform the way advertisers plan, buy, and optimize media. The goal is to define and build the next generation of AI capabilities that fuel Viant’s vision for fully autonomous advertising, creating cutting-edge products that harness the power of AI to drive efficiency, performance, and measurable outcomes for customers.

Requirements

  • Strong understanding of generative AI applications and frameworks.
  • Familiarity with programmatic ecosystems, including Ad Networks, Exchanges, RTB, DSPs, SSPs, DMPs, onboarding, and identity management platforms.

Responsibilities

  • Own and drive the strategy, roadmap, and execution for the Viant AI Suite within Viant DSP.
  • Lead end-to-end product management efforts, from research and discovery through definition, delivery, and iteration.
  • Collaborate with data science, engineering, design, and external customers to identify opportunities where AI can solve complex challenges, from smarter media planning to fully automated campaigns management and optimization.
  • Define and prioritize requirements for AI-powered products and features
  • Manage dependencies across Viant’s technical environment and ensure timely delivery of AI products to market.
  • Conduct in-depth research on competitive AI/ML advancements within ad tech and programmatic platforms.
  • Communicate product performance through AI-specific KPIs (e.g., lift in campaign efficiency, accuracy of predictive models, cost savings from automation).

Other

  • 7+ years of experience in product management, with a proven record of delivering successful products.
  • 4+ years of experience in online advertising, ideally within DSPs or related ad tech platforms including media planning, campaign management, optimization, targeting, modeling, and personalization.
  • Demonstrated ability to solve complex problems using structured, data-driven reasoning.
  • Experience working with cross-functional teams including engineers, data scientists, and designers.
  • Excellent communication skills with the ability to clearly articulate AI-driven outcomes to both technical and business stakeholders.