Company profile

Sense Tech Stack

Conversational AI recruiting automation platform for high-volume hiring teams

Software Development San Francisco, California 201–500 employees Founded 2016 Privately Held

Sense builds AI-driven recruiting software that automates candidate messaging, scheduling and matching for talent acquisition teams. Its stack pairs a Java/Spring and Python core with a deep LLM agent toolkit (LangGraph, CrewAI, LangChain, LlamaIndex) plus observability via Arize AI and Langfuse, pointing to production agentic AI rather than simple chatbots. Senior-only hiring across sales, engineering and design, with an enterprise staffing focus, signals an upmarket push.

Tech Stack 85 technologies

Core StackJava Python MySQL Snowflake Kafka AWS Spring PostgreSQL Redis Flask Datadog Salesforce 6sense Slack LangChain Pinecone FastAPI Docker Power BI CrewAI LangGraph Arize AI Langfuse Apollo Outreach LlamaIndex Llama Gemini FAISS Chroma+53 more

What Sense Is BuildingChallenges and projects from their job posts

◆Challenges

Acquiring enterprise-level staffing customers
Complex platform automation for recruiters

▲Active Projects

Account-based engagement strategies
Expanding platform usage with existing clients
Reporting, analytics and data visualization products
Identifying and closing additional revenue opportunities

Hiring Activity

Accelerating3 roles · 3 in 30d

Department

Design

Engineering

Sales

Seniority

Senior

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About Sense

Sense, founded in 2016 and headquartered in San Francisco, develops a talent acquisition platform built around conversational AI. The product covers recruiting automation, talent CRM, candidate campaigns, matching and scoring, chatbots, text messaging, interview scheduling and referrals. It serves employers and staffing firms running high-volume recruiting. The privately held company employs 201–500 people and hires in the United States and India.

HeadquartersSan Francisco, California

Company Size201–500 employees

Founded2016

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Sense use?

Sense runs Java, Spring, Python, Flask and FastAPI on AWS with MySQL, PostgreSQL, Redis, Kafka and Snowflake, plus LLM tooling like LangGraph, CrewAI, LangChain, Pinecone and Langfuse.

Does Sense use generative AI or LLM frameworks?

Yes. Its stack includes LangChain, LangGraph, CrewAI, LlamaIndex, Llama and Gemini, vector stores FAISS, Pinecone and Chroma, and LLM observability via Arize AI and Langfuse.

Where is Sense headquartered and where does it hire?

Sense is headquartered in San Francisco, California, and currently hires in the United States and India, with senior-level roles across sales, engineering and design.

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How this profile is built

Sense's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.