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Ondo Finance Tech Stack

Tokenized financial products and institutional assets on blockchain

Financial Services New York 51–200 employees Privately Held

Ondo Finance builds onchain infrastructure for institutional financial products—tokenized stocks, ETFs, and funds. The tech stack reveals a dual-layer architecture: blockchain networks (Ethereum, Arbitrum, Solana, Sui, Aptos) for settlement, plus Go, Python, C++, and TypeScript for backend services, with Next.js and Playwright for frontend/testing. The hiring mix is heavily weighted toward senior engineers (14 of 18 technical hires) and skews product-focused (design, product, security roles active), suggesting they're scaling execution complexity rather than greenfield exploration. Pain points cluster around regulatory compliance, NAV calculations, and partner onboarding—operational friction points typical of institutions entering crypto infrastructure.

Tech Stack 50 technologies

Core StackFigma Adobe Illustrator Go Python C++ TypeScript AWS JavaScript Slack Okta Next.js Playwright Jest Ethereum Arbitrum Solana Sui Aptos Photoshop InDesign Bash Solidity Notion Kandji macOS Okta Workflows Midjourney DALL-E Runway Sora+19 more

What Ondo Finance Is Building

Challenges

  • Complex legal and regulatory considerations
  • Balancing legal risk with practical business objectives
  • Regulatory compliance for tokenized funds
  • Accurate nav calculations
  • Audit coordination for tokenized funds
  • Reducing recurring support burden
  • Streamlining partner onboarding
  • Improving api documentation
  • Asset tokenization challenges
  • Token bridging challenges

Active Projects

  • Tokenized financial products
  • Design system evolution
  • Strategic partnerships and commercial initiatives
  • Mint/redeem experience for usdy & ousg
  • Tokenized stocks and etfs (ondo global markets)
  • Geneva implementation
  • Integration of tokenized securities
  • Integration of stablecoins
  • Expanding brand guidelines
  • Developing sub-brands for new products

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering
6
Design
3
Finance
2
Product
2
Security
2
Legal
1
Marketing
1
Operations
1

Seniority

Senior
14
Mid
4
Junior
1
Lead
1
Staff
1

Notable leadership hires: Risk Head

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About Ondo Finance

Ondo Finance operates a platform to tokenize institutional-grade financial assets and make them accessible onchain. The company targets institutional buyers and retail participants wanting exposure to regulated financial products—stocks, ETFs, stablecoins, and tokenized funds—on multiple blockchain networks. With 51–200 employees based in New York, Ondo is actively shipping product across tokenized stocks (via Ondo Global Markets), tokenized funds (USDY, OUSG), and stablecoins. Current work includes NAV calculation infrastructure, mint/redeem mechanics, and integration of tokenized securities and stablecoins into the core platform. The regulatory and legal surface area is material: tokenization of securities sits at the intersection of finance regulation, custody, and blockchain—a constraint reflected in both active hiring (risk, legal, compliance roles) and documented pain points.

HeadquartersNew York
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What blockchains does Ondo Finance support?

Ethereum, Arbitrum, Solana, Sui, and Aptos. The platform is multi-chain by design, enabling tokenized products to settle across multiple networks.

What is Ondo Finance building right now?

Tokenized stocks, ETFs, and funds; mint/redeem infrastructure for USDY and OUSG; stablecoin integration; and a design system. Strategic partnerships and commercial initiatives are also underway.

How this profile is built

Ondo Finance'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.