Web3 Jobs in San Francisco, California, United States

Position

The company is seeking an experienced product leader to develop its web3 product vision,
strategy, and roadmap. The Lead Product Manager, Tokenomics will leverage their expertise in
financial modeling, statistical analysis, decentralized finance, and token economics to define the
vision and roadmap for GIANT’s token economy.
In this role you will:

• Own the vision, strategy, roadmap, and delivery for GIANT’s token economy
• Develop a deep understanding of all stakeholders - data providers, data consumers,
  developers, validators, nominators, enthusiasts, and other community members - and
  the incentives that drive their behaviors
• Write financial models that simulate the the company’s token economy, run simulations
  and sensitivity tests against those models, analyze the results of the simulations, and
  propose improvements to the token economic model
• Design a strategy for the distribution of tokens (ICO, IEO, IDO, private sale, crowd sale,
  etc.) and ensure efficient balance of supply and demand
• Contribute to the GIANT whitepaper and engage with the community on topics related to
  tokenomics
• Partner effectively with other leaders in marketing, business development, product, and
  engineering to influence priorities and drive alignment

Requirements

• 2+ years of experience developing statistical models of complex financial systems
• Direct experience working with crypto token economies, with a preference for experience
  with DeFi, and a solid understanding of the role of liquidity and inflation in token
  economies
• Working knowledge of common financial models including modern portfolio theory,
  generalized hyperbolic distributions and their subclasses, bonding curves, etc.
• Clear, concise written and verbal communication and a track record influencing technical
  and non-technical staff
• Familiarity with common statistical tools such as Mathematica, Wolfram Alpha, and/or
  Excel; experience with cadCAD preferred
• Degree in economics, computer science, math, other quantitative discipline, or
  comparable experience