Group Product Manager II, Creative Tech - tvScientific
Leads product vision and execution for tvScientific's CTV creative tools, transforming brand assets into TV commercials, generating variants with AI, and integrating creative signals into optimization models. Requires 8+ years PM experience in creative tech or generative AI for ads.
196k – 403k
Remote8+ YOEProduct Management
About the role
What you'll do
Lead product vision, strategy and execution for tvSci's CTV creative tooling, from asset ingestion through generation, variant production and creative-aware optimization
Develop new tools that turn existing brand assets into TV-ready commercials, and generate creative variants and new concepts from those assets
Expand tvSci's prediction and optimization models to incorporate creative as a core performance lever
Partner with commercial teams and operations to make creative optimization a primary driver of customer performance, and ensure it's well understood and adopted by advertisers and internal teams
Use AI to accelerate prototyping, explore creative concepts and synthesize customer feedback, while applying judgment and verification to ensure correctness and quality
Represent tvSci externally as a thought leader at the frontier of AI-driven creative technology
What we're looking for
8+ years of product management experience, with expertise in creative technology, dynamic creative optimization or generative AI for video and image
Experience working with optimization and ML systems, and a clear point of view on how creative signal should be incorporated alongside bidding and targeting
AI-forward and experimental, comfortable building with generative AI as a core primitive rather than a feature
Demonstrated track record shipping creative technology products or optimizing ads at scale, with concrete examples of impact
Excellent communication and stakeholder alignment skills, with comfort presenting to senior executives, customers and industry audiences
Demonstrated experience using AI to accelerate product development and customer analysis, with a clear approach to validating accuracy and quality
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables
Bachelor's degree in a relevant field such as computer science, engineering or a related discipline, or equivalent experience
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