Related skills
ai natural language processing data platforms embeddings semantic search📋 Description
- Own the product vision and roadmap for semantic search, NLQ, and agentic search.
- Define how user intent is captured, classified, and routed.
- Collaborate with data science/engineering on intent models and retrieval systems.
- Improve query interpretation, disambiguation, relevance, and recall for AI search.
- Set metrics for intent accuracy, query execution, relevance, latency, and trust.
- Be accountable for semantic/agentic search and align teams on standards.
🎯 Requirements
- Experienced PM, with search, ML-powered products, or data platforms.
- Tech fluency in NLP, embeddings, semantic search, and retrieval systems.
- Comfortable working with data scientists and engineers to translate modeling tradeoffs.
- Strong communicator for AI behaviors to technical and non-technical stakeholders.
- Customer-obsessed with user intent and search quality.
- Curious and analytical, improving engineer interactions with complex systems.
🎁 Benefits
- New hire stock equity (RSUs) and ESPP
- Continuous professional development, product training, and career pathing
- Intra-departmental mentor and buddy program for networking
- Inclusive culture; join our Community Guilds
- Access to Inclusion Talks and internal panel discussions
- Free global Spring Health benefits for employees and dependents age 6+
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