Top Tech Jobs & Startup Jobs in Prague

Leads CEPRES’s global data operations and governance organization, overseeing investment data collection, processing, validation, quality, delivery, and compliance. Establishes KPIs, SLAs, scalable workflows, governance policies, access controls, lineage tracking, and continuous improvement initiatives. Partners with Product, Engineering, Commercial, and executive teams to translate client needs into operational and data delivery solutions. Drives automation and LLM/GenAI adoption while developing organizational capacity, workforce plans, and high-performing analyst and operations teams.

Own and improve financial data processes for revenue and cost collection, reconciliation, validation, activity-based costing, and management reporting. Investigate discrepancies across Finance, Operations, and Technology, integrate new financial products into accounting systems, manage reporting scopes across legal entities, and support transaction-related reporting. The role requires strong accounting knowledge, General Ledger experience, SQL proficiency, analytical problem-solving, and effective communication with technical and non-technical stakeholders.

Coordinate the complete speaker journey, from identifying diverse global leaders and managing invitations to briefings and follow-up. Curate event sessions, maintain speaker databases and website updates, support communications and content creation, and strengthen community speakers’ presentation skills. The role also helps shape event narratives, connect global topics, promote speaker knowledge across media, support frontline representation, and nurture strategic partnerships.

Lead complex, multi-team engineering programs from definition through delivery. Own scope, milestones, dependencies, risks, trade-offs, and stakeholder communication while coordinating engineering, product, design, security, and go-to-market teams. Influence architectural decisions, manage operating cadence, provide executive visibility, and improve engineering productivity through lightweight processes and AI-enabled tooling.

Leads and develops software engineering teams, including hiring, mentoring, performance management, capacity planning, and retention. Owns technical strategy, software and solution architecture, technical excellence, system performance, and reliable delivery. Supports agile practices, improves development workflows, tracks team metrics, provides leadership reporting, and collaborates with engineering and product leaders on technical and cross-functional initiatives.

Build and maintain native iOS apps for 3D visualization and AI-assisted field workflows. Implement UI components, integrate backend and real-time data, optimize performance and memory, write clean Swift code, participate in architecture and code reviews, and troubleshoot device-specific issues while collaborating with product, design, and AI teams.

Support PlanetScale customers and developers by troubleshooting production applications, databases, infrastructure, connectivity, queries, schema changes, and application behavior. Resolve issues across tickets, Slack, and public channels; create documentation and playbooks; identify recurring product friction; and collaborate with Engineering on improvements. The role requires strong technical debugging, SQL and database knowledge, programming literacy, customer communication, empathy, organization, and independent cross-functional execution.

Manage a portfolio of content creators and influencers, identify their business needs, and provide comprehensive solutions. Build strong client relationships, support creator growth, and develop digital marketing expertise across major advertising platforms. The role requires English and Italian fluency, flexibility, proactive problem-solving, entrepreneurial thinking, and a strong willingness to learn. Experience with creators, influencers, digital advertising, or client-facing work is preferred.

Own the complete conversion rate optimization cycle across acquisition, activation, retention, and monetization. Responsibilities include funnel and product analysis, hypothesis generation, high-fidelity wireframing and visual specifications, experiment design, engineering collaboration, statistical analysis, rollout decisions, roadmap prioritization, and stakeholder communication. The role emphasizes AI-enabled workflows, rapid iteration, measurable performance improvements, and independent ownership within a remote, fast-paced environment.

Develop and deploy large-scale AI solutions, distributed training and inference systems, and MLOps pipelines across cloud platforms. Advise customers, diagnose full-stack ML issues, optimize performance, latency, cost, and reliability, and support NVIDIA hardware and frameworks. Build open-source tools and reference architectures while collaborating with infrastructure and accelerated-framework teams. The role requires strong systems, programming, cloud-native MLOps, machine learning, and communication expertise.