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About the Role

Town is building the most personalized AI assistant, which requires a robust retrieval and data infrastructure. You will build the foundational search and data infrastructure, including a shared retrieval layer combining lexical and semantic search, real-time and batch pipelines, and a durable data model. This is a greenfield opportunity as the first person building this critical layer.

Responsibilities

• Build the search and retrieval layer for the AI assistant.
• Combine lexical and semantic search, managing tradeoffs between different approaches.
• Design the durable data model for context relevance, speed, and cost-effectiveness.
• Build and operate real-time/streaming and batch pipelines to maintain index freshness and accuracy.
• Establish and maintain a fast, reliable indexing and storage layer at scale.
• Develop the foundation for relating content by meaning, creating a knowledge graph.

Requirements

• Significant hands-on experience with lexical and semantic search components and approaches (BM25, embeddings, ANN/vector indexes, hybrid retrieval, ranking).
• Experience running large-scale data infrastructure, including real-time/streaming and batch pipelines, indexing, and storage.
• Ability to make retrieval fast and cost-effective at scale, with a strong understanding of latency, cost, and freshness tradeoffs.
• Systems thinking and comfort working in a greenfield environment.
• Experience taking systems from rapid prototype to production scale.
• Experience with ranking/relevance, knowledge graphs, or retrieval for LLM or agentic systems is a plus.

Skills

• Lexical search
• Semantic search
• BM25
• Embeddings
• ANN/vector indexes
• Hybrid retrieval
• Ranking
• Data infrastructure
• Real-time/streaming pipelines
• Batch pipelines
• Indexing
• Storage
• Systems thinking
• Knowledge graphs
• LLM retrieval
• Agentic systems retrieval

Location

• San Francisco, CA

Work Type

• Onsite

Experience Level

• Senior

About the Company

• Town is building an AI that starts from who you are, creating a persistent model of identity, voice, judgment, relationships, and priorities to perform work across various tools.
• The company was founded by Jean-Denis Greze (CEO), former CTO of Plaid, and Tony Vincent (CPO), former Director of Applied AI Product at Google.
• Town is a small, talent-dense team backed by prominent investors including Andreessen Horowitz, Forerunner Ventures, First Round Capital, and Conviction, having raised over $73M.