Top Tech Jobs & Startup Jobs in Prague

Lead group-level budgeting, forecasting, KPI reporting and analysis for P&L and balance sheet lines across multiple countries. Drive methodology for a specific P&L line, partner with local controllers, produce management reports, improve efficiency, and support system implementation changes.

The Growth Generalist role involves launching products, managing demand generation campaigns, creating content, enabling sales, performing analytics, and filling operational gaps in a startup environment.

Design and build a high-performance distributed cloud platform to run millions/billions of AI agent sandboxes: orchestrate placement, enable live migrations, optimize VM startup under 200ms, improve self-hosting, and implement kernel-level observability and large-scale performance and networking solutions.

Serve as a strategic HR advisor for multiple business units, managing employee relations, workforce planning, performance cycles, engagement (eNPS), HR metrics analysis, manager coaching, and resolution of complex people issues in a fast-paced, hybrid environment.

Develop and maintain Kotlin backend services, design internal and public APIs (REST/gRPC/GraphQL), deploy to cloud or data center, improve reliability and performance, and collaborate with cross-functional teams to implement features end-to-end.

Set technical direction and architecture for backend systems and API integrations in a distributed microservices fintech platform. Design and implement reliable, highly available RESTful APIs, build third-party integrations, enforce observability and CI/CD best practices, optimize performance and scalability, produce technical documentation, and mentor engineers to raise engineering quality.

Design, build, and maintain backend microservices and RESTful APIs; integrate with third-party vendors; ensure scalability, observability, and reliability; own technical architecture, CI/CD, and documentation; optimize databases and message-driven systems.

Lead a multidisciplinary Core Services engineering squad to design and operate distributed microservices for ledgers, balances, billing, and repayments. Translate product requirements into technical solutions, build integrations and REST APIs, enforce observability, maintain docs, improve performance and scalability, and drive CI/CD and infrastructure-as-code practices.

Coordinate the development of investigator grants, contract language, and budget templates while ensuring compliance with regulatory requirements and project goals. Provide legal and financial support, monitor contracting performance, and mentor colleagues.

Design, develop, and operate mission-critical data platform services with a focus on security, reliability, and scalability. Build and maintain automated tests across unit, integration, and end-to-end layers, collaborate with engineering teams on CI/CD and quality best practices, and experiment with AI-assisted QA and new technologies to improve platform capabilities.

Drive account expansion by identifying upsell opportunities, reacting to user signals, executing upsells, preventing churn, and partnering with Sales for large deals while ensuring customer satisfaction and long-term retention.

Lead and maintain the company's GRC program: manage frameworks and policies, run audits and vendor risk assessments, produce risk reporting, drive remediation to certification, support AI governance, and develop training and cross-functional compliance efforts.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

Lead design and architectural direction for generative AI, LLM, RAG, and intelligent automation solutions. Collaborate with architects, engineers, product owners, and stakeholders to ensure secure, scalable cloud solutions aligned with enterprise standards. Provide technical leadership, make strategic architecture decisions, and mentor AI engineers across the organization.