Top Remote Jobs in Warsaw

Process and digitize data from vehicle accident reports, verify entries for accuracy and completeness, select and anonymize photos, follow data security and compliance procedures, and maintain knowledge-base documentation. The role also provides software and service support, requires careful auditing, strong attention to detail, German and English fluency, and effective communication with colleagues and business stakeholders.

Develop and improve a proprietary C++ real-time renderer across DirectX11/12, Vulkan and console APIs. Implement rendering features, optimize CPU/GPU performance, debug vendor-specific issues, collaborate with artists, assist CI and integrations, and mentor teammates.

Own the platform architecture and Neo4j strategy for GraphAware Hume, optimizing Cypher queries, graph models, and scalable access patterns. Lead cross-team technical direction, mentor engineers, build secure APIs, and orchestrate graph analytics workflows. Partner with product managers on technical roadmaps, evaluate Neo4j ecosystem updates, and support migrations. The role also involves backend development in Java and Spring, CI/CD, Docker, security, cloud-native practices, and potentially GraphRAG, Kafka, and distributed systems.

Lead finance digitization and automation: build and execute the Group Finance Systems roadmap, drive ERP implementations, own reporting infrastructure and dashboards, partner with IT and stakeholders for system requirements, governance, UAT, vendor management, and onboarding new entities to standardized finance systems and processes.

Own the company’s finance function, including financial reporting, cash-flow forecasting, budgeting, forecasting, profitability improvement, financial modeling, process documentation, automation, dashboards, and systems evaluation. Partner with leadership and cross-functional teams on growth, inventory planning, and executive decision-making while building scalable finance operations for continued expansion.

Owns the technical delivery of customer SaaS implementations from requirements discovery and solution design through planning, coordination, and launch. Partners with customers, Customer Success, Product, Engineering, and QA to translate business needs into technical specifications, implementation plans, project tickets, timelines, and milestones. Manages dependencies, risks, scope changes, stakeholder communication, and customer technical guidance throughout implementation.

Supports Lead-to-Cash consulting engagements across CPQ, pricing, deal management, and revenue operations. Responsibilities include gathering requirements, defining future-state processes, creating functional specifications and user stories, facilitating client workshops, supporting AI-agent product ownership, and coordinating project delivery across onshore and offshore teams.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Own the editorial calendar and produce long-form and social content across blogs, LinkedIn, email, sales collateral, websites, and press releases. Translate technical input from internal experts into credible, engaging narratives, manage social execution, adapt video content, coordinate PR distribution, and analyze performance to improve content strategy. The role requires independent execution in a remote, fast-moving B2B technology environment serving a global esports betting audience.

Owns and manages the infrastructure powering secure AI agent deployments. Responsibilities include Kubernetes and Azure environments, Terraform-based infrastructure, MCP servers, access controls, enterprise integrations, GPU provisioning, compute scaling, model training efficiency, cost control, and governed connections to sensitive business systems. The role partners with infrastructure, security, compliance, technical, and business teams to deliver scalable and reliable AI platforms.