Sense Tech Stack

Conversational AI platform for enterprise talent acquisition automation

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

Sense builds a conversational AI recruiting platform with semantic search, recommendation systems, and knowledge graphs—a stack shaped for matching and ranking at scale. Active adoption of OpenAI and Anthropic, combined with heavy investment in data pipelines (Snowflake, Python, FastAPI) and vector retrieval (FAISS, Pinecone, Chroma), signals a move toward LLM-powered candidate matching and personalization. Engineering-heavy hiring and project focus on search relevance, asynchronous communication pipelines, and cost optimization on AWS indicate Sense is scaling backend infrastructure to handle high-velocity candidate throughput.

Tech Stack 66 technologies

Core StackPython MySQL Snowflake AWS Flask Datadog Salesforce 6sense Slack LangChain Pinecone FastAPI Docker Power BI Tableau JavaScript SQL CrewAI LangGraph Arize AI Langfuse Apollo Outreach LinkedIn LlamaIndex Claude LLaMA Gemini FAISS Chroma+34 more

AdoptingOpenAI Anthropic

What Sense Is Building

◆Challenges

Complex sourcing and talent engagement problems
Performance and reliability of large-scale data pipelines
Streamlining hiring process
High-throughput communication pipelines
Scaling backend systems
Meeting new customer needs
Acquiring new corporate clients
Expanding partner-sourced pipeline
Accelerating shared revenue growth
Cost efficiency

▲Active Projects

Design and optimize semantic search pipelines
Architect scalable search and match services
High-throughput pipelines for asynchronous communication
Recommendation system
Knowledge graph
Search relevance
Backend data platform for analytics
Voice ai design
Cost efficiency optimization on aws
Design and lead b2b sales training programs

Hiring Activity

Steady30 roles · 10 in 30d

Department

Engineering

Data

Sales

Marketing

Ops

Design

Support

Seniority

Senior

Lead

Mid

Intern

Staff

Manager

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About Sense

Sense is a conversational AI recruiting platform that automates candidate sourcing, engagement, and matching for mid-to-enterprise talent teams. The product spans recruiting automation, talent CRM, AI chatbots, text messaging, interview scheduling, and referral workflows. Founded in 2016 and based in San Francisco, Sense serves over 1,000 customers across healthcare, retail, staffing, and technology sectors. The company operates across the United States and India, with a 200–500-person team. Active pain points center on scaling data pipelines, optimizing backend reliability under high throughput, and expanding corporate customer acquisition—all reflected in their hiring mix and project roadmap.

HeadquartersSan Francisco, California

Company Size201–500 employees

Founded2016

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Sense use?

Sense uses Python, Flask, FastAPI, and MySQL for core services; Snowflake and AWS for cloud infrastructure; Datadog for observability; and vector databases (Pinecone, Chroma, FAISS) for semantic search. They are actively adopting OpenAI and Anthropic models.

What is Sense working on?

Current projects include semantic search optimization, candidate recommendation systems, knowledge graphs, high-throughput asynchronous communication pipelines, backend data platforms, voice AI design, and AWS cost efficiency.