Top Remote Jobs in Prague

Drive project intake and onboarding for Web3 startups: source leads, conduct sales outreach and negotiations, manage onboarding workflows (Notion, Jira, Telegram), advise on tokenomics and launchpad mechanics, and coordinate cross-functional teams to integrate projects onto the launchpad.

Execute and monitor on-chain transactions, manage daily vault operations (deposits/withdrawals/yield), deploy smart contract wallets, support partners through vault launches, track fees and operational metrics, maintain vault documentation and playbooks, and use AI tools to automate and optimize processes.

The Backend Engineer will architect and optimize execution and matching infrastructure for low-latency trading systems, focusing on performance with a strong systems background.

Open application request: submit your resume for consideration for future roles. No specific responsibilities, qualifications, or role details provided.

Join The Economist Group’s Pursuit of Progress Talent Network to stay informed about job opportunities, receive exclusive insights, and remain connected for future roles. Network members get updates on company developments, thought leadership, and hiring news. Working patterns are hybrid (3+ days in office for most roles). Benefits include pension/401(k), private health insurance, wellbeing resources, Work From Anywhere (25 days/year), and free access to The Economist content. Candidates may use AI in applications but must provide truthful information.

Join SingleStore's Sales Talent Community to be considered for future sales and technical sales roles across the US and EMEA. Candidates with backgrounds as Account Executives, BDRs, Solutions Engineers, Sales Engineers, or Forward Deployed Engineers are encouraged to submit profiles for review and outreach when roles match.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

Coordinate and drive Gemini Enterprise training adoption across Google partner organisations in Europe. Engage partner training managers, track registrations and certifications, remove blockers, report status to stakeholders, and work with Google programme owners to meet rollout targets for 40,000+ learners.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

Design, improve, and deploy large-scale ML models for real-time ad-tech applications; explore data sources, research solutions, run A/B tests, and collaborate with engineering to productionize models and monitoring.