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Bugcrowd Tech Stack

AI-powered crowdsourced security platform for vulnerability management

Computer and Network Security San Francisco, California 201–500 employees Founded 2012 Privately Held
bugcrowd.com LinkedIn

Bugcrowd operates a crowdsourced security platform that connects organizations with security researchers to identify vulnerabilities before exploitation. The stack reveals a modern, cloud-native architecture (TypeScript/React frontend, Postgres + Kafka backend, deployed across AWS/Azure/GCP) with heavy investment in offensive tooling (Binary Ninja, Ghidra, IDA Pro) and LLM integration (OpenAI, Anthropic). Active hiring is sales-heavy (10 roles) with a secondary push in engineering (7) and security (4), while project backlog signals a pivot toward channel go-to-market and government contracts—indicating growth beyond self-serve bug bounty into enterprise and regulated markets.

Tech Stack 62 technologies

Core StackTypeScript JavaScript React Next.js Vercel AWS Prisma PostgreSQL OpenAI Anthropic Kubernetes Python Rust Kafka Go Ruby Java Docker OAuth 2.0 JWT Azure GCP Drizzle Binary Ninja Ghidra IDA Pro Assembly SAST DAST FedRAMP+29 more
AdoptingSAML OAuth 2.0 mTLS JWT

What Bugcrowd Is Building

◆Challenges

  • Expanding partner ecosystem
  • Driving partner profitability
  • Inefficiencies in quote-to-cash workflows
  • Data integrity issues in salesforce
  • Scaling secure infrastructure
  • Early stage channel growth
  • Modernizing platform reliability
  • Improving engineering triage tools
  • Fedramp compliance
  • Secure sdlc improvement

▲Active Projects

  • Partner gtm plan development
  • Annual territory planning and quota setting
  • Process improvement for deal desk
  • Pipeline health reporting
  • Cloud-native platform design
  • Government security and testing contracts
  • Gtm partner plans
  • Partner enablement initiatives
  • Partner agreement negotiations
  • Iam platform roadmap

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Sales
10
Engineering
7
Security
4
Data
1
Ops
1

Seniority

Senior
14
Manager
3
Junior
2
Mid
2
Staff
2
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About Bugcrowd

Bugcrowd, founded in 2012, operates a crowdsourced security platform that coordinates vulnerability disclosures and penetration testing through a network of independent security researchers. The platform serves mid-market and enterprise organizations seeking to de-risk their application and infrastructure attack surface. The tech stack spans vulnerability scanning (SAST, DAST, binary analysis tools), secure identity (OAuth 2.0, SAML, mTLS, JWT), cloud infrastructure (Kubernetes, Docker, multi-cloud), and emerging LLM-driven triage. Current operational friction centers on partner enablement, quote-to-cash efficiency, and FedRAMP compliance—suggesting an expanding footprint in government and regulated sectors.

HeadquartersSan Francisco, California
Company Size201–500 employees
Founded2012
Hiring MarketsUnited States, India, United Kingdom

Frequently Asked Questions

What tech stack does Bugcrowd use?

Frontend: TypeScript, JavaScript, React, Next.js on Vercel. Backend: PostgreSQL, Prisma/Drizzle ORM, Kafka, Python, Go, Ruby, Java. Infrastructure: AWS, Azure, GCP, Kubernetes, Docker. Security tooling: Binary Ninja, Ghidra, IDA Pro, SAST, DAST. AI: OpenAI, Anthropic. Identity: OAuth 2.0, JWT, SAML, mTLS.

What is Bugcrowd working on?

Recent projects include cloud-native platform design, government security and testing contracts, partner GTM and enablement initiatives, IAM platform roadmap, and pipeline/territory planning. Pain points span FedRAMP compliance, scaling secure infrastructure, improving engineering triage tools, and quote-to-cash workflow efficiency.

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How this profile is built

Bugcrowd'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.