Top Remote Jobs in Czechia

Aisle seeks a Wild Card candidate who can contribute to AI and cybersecurity innovation, vulnerability remediation, or organizational culture. Excellent track record required.

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

Lead mixed-methods UX and product research across Product, Design, and Growth. Plan and run qualitative and mixed-methods studies, coach designers, improve research ops, democratize insights, and embed research into product decision-making.

Lead the vision and roadmap for Universal KYC and MetaMask Passport. Build a reusable identity platform, design low-friction KYC flows, partner cross-functionally to drive adoption, and deliver measurable outcomes balancing privacy, trust, and global compliance.

Lead editorial strategy and create technical content (whitepapers, blogs, datasheets, video scripts) to educate and convert technical audiences. Present at conferences, support ABM, analyze content performance, and collaborate with Marketing, Product, R&D, and Sales.

Full-cycle, high-velocity commercial AE role focused on self-sourced outbound pipeline. Qualify, demo, negotiate, and close new business for HeyGen web app and API. Collaborate with PLG, product, and customer teams, maintain CRM discipline, and sell business outcomes to marketing, sales, L&D, product, and technical stakeholders.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

Own full sales cycle selling LangChain platform to enterprise technical teams. Drive POCs, negotiate contracts, collaborate with engineering/product/customer success, and shape GenAI adoption and sales playbook.