Responsibilities

• Own the performance creative system end-to-end across paid, lifecycle, in-product, and creator/influencer channels - defining the operating model that connects strategy, production, experimentation, measurement, learning, iteration.
• Set the creative growth strategy and testing roadmap by turning product priorities and business goals into sharp hypotheses, test plans, and creative frameworks that scale across audiences and markets.
• Translate insights into high-quality briefs partnering with Product, Data Science, Media, and Marketing to convert user insight + product value + performance signals into clear direction for internal teams, agencies, and creators.
• Build compounding learning loops: establish a system where results are captured, codified, shared, and reused (what worked, why, where it generalizes), and where learnings influence both creative output and product/roadmap decisions.
• Partner with Product & Engineering to build the AI-powered creative system - shaping requirements and prioritization for AI-powered capabilities (dynamic content, automated asset generation, experimentation tooling, optimization systems, measurement instrumentation).
• Raise creative velocity and signals without sacrificing quality: improve cycle time, creative coverage, and experiment quality (clean tests, consistent taxonomy, strong measurement) so decisions get faster and more reliable over time.
• Lead cross-functional collaboration and knowledge sharing: align stakeholders, drive decisions, unblock production, and ensure the creative pipeline stays healthy across product lines and launches in alignment with overall marketing messaging
• Scale influencer-led performance creative - define how we brief, produce, iterate, and measure creator content as a performance lever