Top Tech Jobs & Startup Jobs in Chicago, IL

The Lead Product Marketing Manager will develop and execute marketing strategies for Kraken's DeFi terminal, Beholder, targeting user acquisition, retention, and product positioning while collaborating across teams and leveraging market insights.

Own the go-to-market strategy for Payward Services, develop messaging and positioning, create sales enablement collateral, and lead market intelligence efforts in the B2B digital asset infrastructure landscape.

Lead performance marketing campaigns for user acquisition by designing testing roadmaps, optimizing channels, and analyzing data. Collaborate with teams to improve growth through innovative strategies in crypto and web3.

As a Product Manager II, you will own the roadmap for prediction markets, lead cross-functional teams, and develop derivatives strategies while engaging with customers and overseeing product launches.

Manage project timelines, coordinate with cross-functional teams, oversee creative production workflows, and ensure quality of performance marketing assets.

As a Manager in Accounting, you will oversee payroll entries, reconcile accounts, manage general ledgers, and ensure compliance with accounting standards, while interacting across multiple business units.

Lead the Earn Core Pod to oversee backend and blockchain systems for earnings across products, ensuring reliability, scalability, and operational excellence in crypto infrastructure.

The role involves architecting AI-powered compliance solutions at Kraken, focusing on automation and compliance processes across global jurisdictions. Responsibilities include designing workflows, deploying AI solutions, and ensuring compliance with regulations while enhancing the team's capabilities through training and impact tracking.

The Director, Head of Legal Innovation will create and implement systems and tools for legal operations, focusing on efficiency, technology, AI enablement, and change management in a fast-paced environment.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.