Economy Designer Jobs
77 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
ChainOpera AI | United States | $86k - $100k | |||
ChainOpera AI | United States | $54k - $86k | |||
Chainlink Labs | London, United Kingdom | $36k - $54k | |||
Bah | Washington, United States | $64k - $66k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Dragon Farm | Remote | $90k - $117k | |||
Menyala | Remote | $84k - $180k | |||
Fireblocks | Get a Fireblocks Platform Demo | $68k - $90k | |||
Paxos | Remote | $68k - $100k | |||
Creative Catalyst | Remote | $18k - $100k | |||
Chainlink Labs | London, United Kingdom | $87k - $117k | |||
Black Tokenomics | Remote | $20k - $26k | |||
Investoo Group | Remote |
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ChainOpera AI is the world’s first truly decentralized and open AI platform for simple, scalable, and trustworthy collaborative AI economy, and the AI app ecosystem for accessible and democratized AI - our GPUs, our model, our personal AI.
ChainOpera AI is supported by
Enterprise-level generative AI platform for system scalability, model performance, and security/privacy (ChainOpera AI Platform)
Leading open source library in large-scale distributed training, model serving, and federated learning (FedML)
Innovative and unique edge-cloud collaborative AI models and systems towards on-device personal AI (Fox LLM)
Internet veterans for serving billion-level end users based on cloud computing and mobile internet
Established researchers in blockchain, machine learning, and large-scale distributed systems (80000+ citations)
Ecosystem partnership with GPU providers, model developers, AI platforms, and AI applications
Top-tier investors, angels, and advisors
Responsibilities:
Conduct in-depth research on existing tokenomic models and their performance in various blockchain ecosystems
Design and develop innovative tokenomic models tailored to our AI-driven blockchain projects
Collaborate with blockchain engineers and AI specialists to implement and optimize tokenomic strategies
Analyze market trends and competitor tokenomics to inform our strategic decisions
Create detailed reports and presentations on tokenomic findings and proposals
Participate in the development of whitepapers and technical documentation related to our token economy
Requirements:
Bachelor's degree in Economics, Computer Science, Mathematics, or a related field; Master's degree preferred
Proven experience in tokenomics design and implementation for blockchain projects
Strong understanding of blockchain technology, cryptocurrencies, and decentralized finance (DeFi)
Excellent analytical and problem-solving skills
Proficiency in data analysis and modeling tools
Familiarity with AI concepts and their potential integration with blockchain technology
Excellent communication skills and ability to explain complex concepts to both technical and non-technical audiences
Preferred Qualifications:
Experience with smart contract development and auditing
Knowledge of game theory and mechanism design
Familiarity with regulatory frameworks surrounding cryptocurrencies and tokens
What does an Economy Designer in Web3 do?
An economy designer in web3 is someone who designs and builds the economic structures and mechanisms for decentralized applications (dApps) on a blockchain
This can include things like creating and managing digital assets, implementing mechanisms for buying and selling those assets, and developing algorithms for pricing and valuation
The economy designer's responsibilities may also include conducting market research to understand the needs and preferences of users, and using that information to inform the design of the dApp's economy
In general, the economy designer plays a crucial role in ensuring the success and sustainability of the dApp by creating an economic framework that aligns the incentives of all participants.