Vice President, Product

Vice President, Product (Grayscale Operating, LLC, Stamford, CT) Conceive, propose and develop innovative, scalable investment products, leveraging distributed ledger technologies and frontier developments in the digital asset space, such as tokenization and decentralized finance (DeFi). Design adaptable staking models that can be implemented across various blockchain platforms, ensuring broad applicability and effectiveness with diverse investment structures (e.g. ETFs, private placements, trusts, SMAs). Leverage existing digital asset frameworks and enhance them with PoS capabilities to create a dual-benefit model that offers both investment returns and blockchain system security. Develop and manage sophisticated staking strategies that provide investors with the potential for returns through participation in network validation processes and contribute to the overall security of the blockchain, ensuring alignment with portfolio risk parameters and operational scalability. Use strong communication skills (written and verbal) to prepare presentations to communicate with investors to provide information, raise capital, or gain approval of ideas and serve as a subject matter expert for institutional investors, RIAs and financial intermediaries. Develop or analyze information to assess the current or future financial status of the market and competitors, and model potential financial results, including scenario analysis driven by on-chain data and macroeconomic signals. Evaluate investment activities and make recommendations for changes to procedures, operating systems, budgets, or other financial functions in collaboration with cross-functional teams spanning investment, operations and technology. Analyze and classify risks and investments to determine their potential impacts on companies and the market, leveraging a comprehensive framework in digital asset solutions and monitoring the evolving domestic and international regulatory landscape. Oversee investment strategies for digital assets across the full product lifecycle—from ideation to launch and execution and performance monitoring and management. Review reports of securities transactions or price actions to analyze market conditions using both traditional modeling like DCF and on-chain fundamentals driven modeling. Help execute ideas to bring new products to market, driving go-to-market strategy in partnership with product, marketing, and capital markets teams. Lead strategic alignment initiatives across portfolio construction, execution workflows, and enterprise risk frameworks. Architect and advance AI-driven or AI thematic investment strategies and index methodologies to enhance systematic investment approaches across the digital asset landscape. Partial telecommuting permitted; on-site at 290 Harbor Drive, 4th Floor, Stamford, CT 06902 when not remote. Salary : $285,000-$325,000 per year. MINIMUM REQUIREMENTS : Bachelor’s or U.S. equivalent in Business, Economics, Finance, Financial Engineering, Mathematics or related field, plus 7 years of professional experience as Principal Product Manager, Associate Director, or any occupation / position / job title involving development and management of institutional investment products and strategies. Must also have experience in the following : 5 years of professional experience utilizing financial tools (including Bloomberg, VBA, Python and SQL) to model, analyze and optimize portfolios, assets, and investments; 5 years of professional experience conducting quantitative and fundamental research for investment products and making data-driven investment decisions based on statistical modeling, on-chain data analytics and macroeconomic indicators; 5 years of professional experience performing Risk Management and Performance Analysis and applying advanced quantitative models (including Monte Carlo simulations and Value-at-Risk (VaR) analysis) to assess and manage portfolio risk; 5 years of professional experience utilizing time-series analysis and machine learning algorithms (including ARIMA, random forests, and gradient boosting) to forecast market trends; 5 years of professional experience managing quantitative analysts including overseeing model development, strategy design, performance evaluation and portfolio optimization; 2 years of professional experience utilizing AI / ML technologies (including regression analysis neural networks, clustering algorithms and prompt engineering for LLM modeling) and advanced mathematical and financial modelling (including predictive analytics and optimization frameworks) within the context of the financial technology industry to develop and improve solutions including digital assets solutions, distributed ledger technologies, and artificial intelligence solutions; and 2 years of professional experience conducting stress testing frameworks across diverse market scenarios (including crypto-specific variables including tokenomics, liquidity stress, and volatility spikes), to evaluate fund resilience and adjust strategy risk exposures accordingly. CONTACT : Please email resume to catie@grayscale.com. Must specify Ad Code YLMC.