From the listing
About the role
We are a passionate team of technologists who value empathy, openness, curiosity, and continuous improvement. We are approximately doubling year over year and have customers in every eCommerce vertical.
What you'll do
- Define the multi-quarter vision and strategy across both the Machine Learning & Recall and Query teams.
- Lead the Query team to push boundaries in tokenization, spell correction, entity extraction, intent classification, and LLM-assisted query parsing.
- Evolve candidate generation architecture by combining traditional keyword search with modern dense embeddings and hybrid recall models.
- Own measurable lift in search-attributed conversion, revenue per visit, and GMV across all retail customer verticals.
- Work with ML researchers and engineers to take SOTA models from research to low-latency production systems.
- Balance model complexity, accuracy, inference latency, and compute costs.
- Establish robust offline and online measurement systems to evaluate retrieval precision against revenue outcomes.
- Lead technical triage when query interpretation or retrieval anomalies occur, building durable automated fixes.
What they're looking for
- Experience as a highly technical, systems-minded Product Manager.
- Experience leading machine learning and search intelligence teams.
- Ability to balance state-of-the-art techniques with low-latency production execution.
- Experience with vector search, semantic parsing, and dense embeddings.
- Strong focus on data-backed decisions and core business metrics.
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From the company page
Benefits
Work from anywhereWorkspace stipendPaid learning stipendsPaid parental leaveEquity in companyLaptop providedComprehensive benefitsPaid holidays