AI-powered HR platform for people management, pay, and performance
Lattice operates an HR platform serving 5,000+ companies, built on a modern data stack (TypeScript, AWS, Snowflake, BigQuery, Databricks, Kafka Streams) with active adoption of LangGraph and RAG. The engineering-heavy hiring mix—12 open roles in engineering versus 2 in sales—paired with projects focused on AI evaluation frameworks, agent infrastructure, and RAG pipelines signals a product-led shift toward embedding AI into core HR workflows. Internal pain points around activation, product velocity, and data maturity suggest the company is scaling beyond its initial customer base while building AI capabilities that require deeper technical infrastructure.
Notable leadership hires: Product Director
Lattice is a people management platform that consolidates HR operations, performance management, compensation, and employee development into a single system. The company sells to mid-market and enterprise teams, with customers ranging from 501 to 1,000+ employees across the United States, Canada, and the United Kingdom. The product surface spans manager enablement, employee performance tracking, pay and compensation workflows, and engagement tools—increasingly backed by AI assistance. Founded in 2015, Lattice operates as a privately held company headquartered in San Francisco.
Lattice builds on TypeScript, AWS (Kubernetes, EKS, Lambda, Glue, Athena, Kinesis), Snowflake, BigQuery, Databricks, and Kafka Streams. The company recently adopted LangGraph and RAG for AI features, with dbt and Looker for data transformation and analytics.
Current projects include AI evaluation frameworks, agent infrastructure, RAG pipelines and vector retrieval, scalable data pipelines (batch and streaming), modern data lakehouse architecture on AWS, and growth loops to increase product adoption and retention.
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