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Mid-level product-growth role in a metro with a popular title and generalist requirements increases competition.
Product skills transfer across industries, but AI and retail specialization moderately raise domain sensitivity.
Mandatory 3+ years plus specific AI/ML tooling, analytics, and cross-functional delivery makes shortlisting strict.
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Lead development and launch of AI-native product features targeting retail and commerce challenges, collaborating with ML and engineering teams.
Drive product-led growth via activation, retention, adoption, and experimentation using data insights.
Own end-to-end product execution including problem discovery, roadmap delivery, and scaling AI features from MVPs to production-grade systems.
3+ years experience in product, growth, or AI-focused roles.
Strong technical foundations in LLMs, embeddings, vector databases, fine-tuning (LoRA, QLoRA), and AI tooling (OpenAI, Hugging Face, LangChain, LlamaIndex).
Hands-on experience with AI workflows using FastAPI, Docker, MLflow, Ray or TorchServe, plus backend tech skills including microservices, API design, and CI/CD for ML.
Proficient in SQL, BigQuery, Looker Studio, A/B testing, funnel analysis, and analytics tools like dbt, Airflow, PostHog or Mixpanel.
Experienced in building and scaling AI-powered or technology-driven products within retail, e-commerce, or SaaS domains.
Capable of translating complex AI/ML capabilities into intuitive product experiences with strong product judgment balancing business, user, and technical priorities.
Skilled at leading cross-functional teams in fast-paced, high-growth environments with clear communication of AI concepts to technical and non-technical stakeholders.