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Popular mid-level product-growth title, metro-based office, and generalist skill demand increase candidate competition.
Requires AI-native product experience and retail domain knowledge, limiting cross-industry transferability.
Explicit 2–5 year requirement plus mandatory AI tooling and technical product skills create stringent filters.
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Lead the design, development, and launch of AI-native product features integrating with ML and engineering teams.
Drive product-led growth initiatives emphasizing activation, retention, and adoption using data insights and experimentation.
Own end-to-end product execution including roadmap delivery, post-launch iteration, and scaling AI features from MVP to production-grade adoption.
2 to 5 years experience in product, growth, or AI-focused roles.
Strong technical proficiency with LLMs, embeddings, vector databases, RAG, fine-tuning (LoRA, QLoRA), and AI tooling like OpenAI, Hugging Face, LangChain.
Experience with product analytics including SQL, BigQuery, Looker Studio, A/B testing, and behavioral cohort analysis.
Solid understanding of retail workflows, product catalogs, and commerce automation ecosystems.
Experienced in fast-paced, cross-functional startup or technology-driven environments involving AI and product growth.
Technically adept with hands-on experience in AI model deployment, inference systems, API integrations, and CI/CD for ML models.
Skilled in stakeholder management and leading cross-functional teams to execute high-quality AI/ML integrated product initiatives.