Peer-to-peer lending platform with personal loans, home equity, and credit products
Prosper operates a multi-product lending marketplace built on Python, Java, and GCP, with heavy adoption of Vertex AI and LangGraph for ML-driven credit and risk decisions. The tech stack shape—AI/ML infrastructure layered over core lending engines—reflects an organization shifting from static underwriting toward dynamic, agent-based decision-making. Active hiring skews senior (11 of 16 roles) across product, engineering, and marketing, aligned with projects around portfolio optimization, risk-return trade-offs, and new product launches.
Prosper is a peer-to-peer lending marketplace founded in 2005 and headquartered in San Francisco. The company serves consumers across the credit spectrum through three main product lines: a personal loan marketplace (originated through WebBank), home equity loans and lines of credit, and the Prosper Card (an unsecured credit card issued by Coastal Community Bank). Over the past two decades, Prosper reports having served more than 2 million customers. The platform operates a two-sided market, balancing borrower access to credit with investor returns, and is regulated as an NMLS-licensed marketplace.
Prosper's primary stack includes Python, Java, GCP, Kubernetes, React, TypeScript, and GraphQL. ML/AI tools include Vertex AI and LangGraph. Analytics: Google Analytics, Amplitude, HEAP, PostHog. Customer experience: NICE CXone, Zendesk. Testing: Jest, Playwright, Detox; security scanning: SAST, DAST, IAST.
San Francisco, California. The company's main office address is 221 Main Street, Suite 300, San Francisco, CA 94105.
Prosper Marketplace'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.