Responsibilities
- Lead end-to-end product initiatives within the AI Categories domain, defining clear problem statements, hypotheses, success metrics, and experiment plans that drive measurable funnel improvement.
- Translate ambiguous growth opportunities into structured roadmaps and prioritized backlogs, breaking complex problems into actionable milestones that ship iteratively.
- Design and run experiments that improve discovery, relevance, engagement, or conversion across AI-related categories, using data to inform decisions and course-correct quickly.
- Partner cross-functionally with Engineering, Design, Data Science, and Marketing to deliver high-quality launches on time and hold stakeholders accountable to shared outcomes.
- Analyze user behavior, marketplace dynamics, and AI talent trends to surface new insights and recommend scalable solutions that impact customer satisfaction and business growth.
- Communicate progress, learnings, and trade-offs clearly to stakeholders through structured updates, experiment readouts, and executive-ready presentations.
What it takes to catch our eye
- Experience contributing to product initiatives in a SaaS, marketplace, or platform environment, with evidence of shipping experiments or features that improved measurable metrics.
- Strong analytical thinking and comfort working with data to evaluate experiments, identify patterns, and translate insights into action.
- Practical fluency with AI concepts and tools, including large language models, and experience integrating AI into product discovery, experimentation, or workflow optimization.
- Ability to operate independently within defined scope, navigate ambiguity with a resourceful mindset, and seek input thoughtfully when tackling new challenges.
- Energized by ambiguity and motivated by shipping experiments that drive real impact, with a demonstrated hunger to grow as a product leader and take on increasing ownership over time.
