About AgileEngine
We are a leading software development company that creates award-winning products for top brands and startups across various industries.
Our people-first culture has earned us multiple Best Place to Work awards, making us an employer of choice for those who value teamwork and innovation.
If you're looking for a place to grow and make an impact with like-minded individuals, we'd love to meet you.
Key Responsibilities:
* Craft end-to-end go-to-market plans, including segmentation, value propositions, positioning, and launch KPIs, for new AI features.
* Create enablement toolkits, such as messaging frameworks, demo scripts, and training decks, to 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.
* 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 and competitive benchmarks, translating insights into opportunity assessments and POVs.
* Define success metrics and test-and-learn roadmaps to iteratively improve adoption, engagement, and conversion of AI experiences.
Requirements:
* 5+ years in product marketing, growth marketing, or digital product management with at least 2 years focused on AI/ML-driven products.
* Demonstrated success launching or scaling AI-powered experiences that delivered material lifts in revenue, AOV, CVR, or LTV.
* Working knowledge of common AI techniques, such as large language models, recommender systems, and computer vision.
* Strong analytical mindset, comfortable defining KPIs, interpreting experimentation results, and connecting insights to go-to-market actions.
* Storytelling prowess, able to distill complex technology into clear narratives, messaging, and training content for non-technical stakeholders.
* Experience in beauty, luxury retail, or high-consideration consumer categories is a plus, but passion for the space and customer empathy are must-haves.
* BA/BS required, MBA or advanced degree in marketing, analytics, or a related field is advantageous.
* Upper-Intermediate English level.