Top Remote Jobs in Czechia

Conduct tailored outreach (emails, calls, social media) to prefab and modular construction teams, qualify leads, collaborate with internal teams, and exceed monthly activity and relationship-building targets while using CRM and sales automation tools.

Seeking an ex-founder or senior engineer to ship product end-to-end, own web/CLI/API/agent surfaces, start new product lines, or lead funded experiments. Must have shipped real products, write TypeScript fluently, use AI coding tools daily, communicate clearly in writing, and overlap 7–10am San Francisco time. Compensation matches seniority with equity options.

Develop and optimize algorithms for battery and renewable energy projects, analyze market data trends, and ensure algorithm performance.

The role involves optimizing mobile telecommunications networks using proprietary tools and conducting KPI analysis, troubleshooting, and customer collaboration to enhance network performance and efficiency.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

The Technical Sales Development Representative identifies and qualifies automation opportunities in manufacturing, facilitating connections with vision-guided robotics solutions. Responsibilities include outreach, conducting discovery conversations, and preparing opportunity briefs for the sales team.

Drive development of open-source tools, implement features, write documentation, manage releases, and respond to community feedback. Requires Python experience and leadership in open-source projects.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Manage and automate mainframe systems, perform z/OS automation conversions, develop REXX programs, integrate automation with monitoring and ITSM tools, implement GDPS/Hyperswap, handle upgrades, and design disaster recovery/high-availability processes. Collaborate with stakeholders and support modernization and hyperscaler integrations.

Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.