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Popular mid-level product-growth title and 2–5 year band increase applicant competition.
Requires AI product experience and retail domain knowledge, making candidates less transferable.
Extensive mandatory AI/ML toolchain and explicit 2–5 year range make filters stringent.
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Lead development and launch of AI-native product features to enhance retail and commerce experiences.
Drive product-led growth initiatives focusing on activation, retention, and adoption using data insights and experimentation.
Own end-to-end product execution including problem discovery, roadmap delivery, model deployment, and scaling AI features from MVP to production.
2 to 5 years of experience in product, growth, or AI-focused roles.
Strong technical knowledge of LLMs, embeddings, vector databases, and AI tooling like OpenAI, Hugging Face, LangChain.
Proficiency with product analytics tools like SQL, BigQuery and experience designing KPIs and running A/B tests.
Willingness to work from the office 5 days a week (location not explicitly stated).
Experience building and scaling AI-powered or tech-driven platforms in retail, e-commerce, or SaaS domains.
Proven ability to operate with ownership and speed in high-growth, cross-functional environments involving engineering, ML, product, and business teams.
Strong product judgment balancing business, user, and technical priorities with experience in stakeholder management and Agile execution.