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machine learning infrastructure observability personalization llm📋 Description
- Define the technical vision for discovery: search UX, recommendations, and AI discovery.
- Lead and grow the retailer-facing discovery engineering team.
- Integrate AI/LLM capabilities into discovery: NLP search and personalized results.
- Partner with product/design to raise the bar on search UX.
- Enable rapid experimentation across discovery surfaces with ML teams.
- Champion observability and quality with instrumentation.
🎯 Requirements
- 8+ years in engineering with 3+ years in leadership.
- Experience on search, discovery, or recommendations, on UX or infra.
- Hands-on AI/ML product development, including LLMs, semantic search, or personalization.
- Strong product sense and ability to translate problems into technical direction.
- Experience driving cross-functional initiatives and roadmaps.
- Bachelor's degree in CS/Engineering or equivalent.
🎁 Benefits
- Move fast: own meaningful problems with global impact.
- Scale with enterprise AI tools to work smarter.
- Best in class colleagues who care about craft and growth.
- Real rewards: competitive pay, equity, benefits.
- Belonging: inclusive environment with equal opportunities.
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