Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.
Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies. Our Talent team connects people with roles across our portfolio, opening the door to opportunities through our Talent Network.
This is not a listing for an internal role at Dragonfly. This posting connects you directly with one or more companies in our portfolio that are actively hiring Software Engineers.
Our team partners with engineers across the entire stack, from crypto (blockchain, protocol, smart contracts) through backend, frontend, full-stack, mobile, infra, etc., and across various disciplines: data, security, machine learning, DevOps, etc. We work together to identify opportunities within our portfolio that are mutually aligned in terms of interests.
What We’re Looking For:
- Software engineering experience (any language, any stack)
- Interest in crypto, blockchain, or open-source technologies
- Bonus: prior experience at a startup or on a crypto-native project
Process:
- We’ll confidentially match you with portfolio companies aligned with your background, skill set, and interests
- If mutual interest exists between you and a team, we’ll facilitate a warm introduction
- If there isn’t a match today, we’ll keep you top of mind for future opportunities
Our portfolio companies are globally distributed, offering remote, hybrid, and in-person roles worldwide. They’re building across the entire crypto ecosystem—including Crypto x AI, Prediction Markets, DeFi, CeFi, infrastructure, L1S and L2S, creator/consumer applications, NFTs, ZK, and more. All candidate submissions are strictly confidential.
Submit your information below, and we’ll reach out if there’s a potential fit.
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Account Executive will drive new customer acquisition and revenue, self-prospecting to build sales pipelines, and collaborating with marketing and sales teams. Responsibilities include understanding customer needs in voice AI, articulating Deepgram's value, and managing existing accounts for upsell opportunities.
Top Skills:
AIAPIsMlSpeech-To-SpeechSpeech-To-TextText-To-Speech
Artificial Intelligence • Productivity • Software • Automation
As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.
Top Skills:
Cloud InfrastructureLlm OpsMl OpsPythonTypescript
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Serve as Finance's single DRI for product launches with financial impact: evaluate new trade strategies, document fund flows and accounting treatments, design and implement financial controls, coordinate cross-functional stakeholders (accounting, tax, treasury, legal, operations), and partner with IT/vendors to automate and scale workflows for audit and regulatory readiness.
Top Skills:
Generative Ai
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



.png)