AgileEngine is a company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We're looking for a Product Marketing Manager (Senior/Lead) to join our team. If you're passionate about growing professionally and making an impact, we'd love to meet you. Key Responsibilities - Craft end-to-end GTM plans—including segmentation, value propositions, positioning and launch KPIs—for new AI features; Create enablement toolkits (messaging frameworks, demo scripts, training decks) that empower brand and regional teams to launch consistently and at scale. - Act as the connective tissue between Product, Data Science, Enterprise Marketing Technology, Creative, and Brand teams to ensure AI features are fit-for-purpose and brand-right; Present recommendations and results to senior leadership and influence investment and prioritization decisions. - Drive executional rigor by transforming strategic AI initiatives into concrete workplans with clear owners, timelines, and KPIs—ensuring pilots quickly move from test to scale; Champion MVP thinking and fast-cycle experimentation to accelerate feature deployment, reduce time-to-value, and continuously refine AI-driven experiences based on real user feedback. - Track emerging AI trends (e.g., multimodal foundation models, privacy-preserving personalization) and competitive benchmarks, translating insights into opportunity assessments and POVs. - Define success metrics and test-and-learn roadmaps (A/B & multivariate) to iteratively improve adoption, engagement and conversion of AI experiences; Partner with Product and Data Science to surface actionable insights and feed them back into roadmaps. Requirements - 5+ years in product marketing, growth marketing or digital product management with at least 2 years focused on AI/ML-driven products (e-commerce, martech, adtech or SaaS preferred); - Demonstrated success launching or scaling AI-powered experiences that delivered material lifts in revenue, AOV, CVR or LTV; - Working knowledge of common AI techniques (large language models, recommender systems, computer vision) and how they translate into consumer-facing use cases (you don't need to write code, but you can