Top Blockchain Jobs in Chicago, IL

The Partner Success Manager will build and manage strategic partnerships in fintech and crypto, drive revenue, and analyze market trends for new opportunities.

The Token Venture Investor will research emerging technologies, evaluate investment opportunities, engage with community members, and support portfolio companies' growth.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

The Executive Assistant will manage calendars, coordinate meetings, handle confidential information, and support executives with logistical and administrative tasks.

The MBA Intern will assist with sourcing and evaluating acquisition opportunities in education, lead financial analysis, negotiate transactions, and support operational growth strategies post-acquisition.

The Solutions Engineer will collaborate with the sales team, engage with technical stakeholders, deliver presentations, and enhance documentation.

The Senior Manager, Financial Risk will design risk frameworks, shape product risk, assess counterparty and liquidity risk, and build analytics systems for Kraken's financial operations.

Design and oversee risk frameworks for Kraken's trading businesses involving OTC, derivatives, and liquidity systems. Monitor risk factors and create analytics for trading activities and market conditions.

Architect and build an AI-native finance operating system for Kraken, focusing on automation, systems architecture, and regulatory compliance.

Lead the development and adoption of Blockstream's Enterprise solution, manage product roadmaps, conduct customer research, and engage technical teams.

As a Software Engineer at Espresso, you will design and implement core blockchain infrastructure in Rust, focusing on transaction processing and consensus.

Design and maintain scalable backend systems with a focus on Web3 technologies, ensuring high standards of code quality and performance. Collaborate closely with product and engineering teams, leveraging AI tools to enhance productivity.