Top Remote Web3 Jobs

As a Staff UX Researcher at MetaMask, you will lead end-to-end mixed-methods research, deriving insights to shape product strategies and influence key stakeholders in the blockchain ecosystem.

As the Head of Marketing, you will build Goldsky's marketing strategy, narrative, and team to drive brand recognition and pipeline for fintech clients and partners. Responsibilities include defining messaging, leading campaigns, fostering partnerships, and implementing performance metrics to ensure alignment with revenue goals.

This role involves crafting product positioning, leading go-to-market launches, and creating technical content. The manager will collaborate with various teams to translate technical work into compelling narratives.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

FreeUp is a freelance marketplace connecting business owners with freelancers globally. Freelancers can set their own rates and schedules across various industries.

The CRM Manager will oversee lifecycle marketing, engaging players through strategic campaigns and analytics to enhance retention, monetization, and overall player value. Responsibilities include designing player journeys, running A/B tests, and integrating product marketing with campaign execution.

The Head of Business Development will drive Shelby's go-to-market strategy, secure partnerships, and build the commercial foundation of a decentralized storage ecosystem.

As a Senior Backend Engineer, you'll design and build backend systems and APIs for data products while ensuring stability and scalability. You'll collaborate with cross-functional teams and lead product development initiatives.

As Marketing Lead, you'll build and execute go-to-market strategies for token marketing and product services, using AI tools for efficiency and scalability in a startup environment.

Develop and maintain open-source SDKs for AI observability, ensuring they are efficient, user-friendly and integrate well with major frameworks and platforms.