Top Remote Jobs in Warsaw

Leads Dow’s Digital Operations technology strategy, identifying and prioritizing intelligent automation opportunities, translating business needs into scalable digital solutions, and overseeing implementation across sites and functions. Partners with operations, technology, data, cybersecurity, and business leaders to improve reliability, performance, adoption, and value realization. Provides strategic guidance to senior leadership while mentoring employees and promoting responsible, safe, and inclusive technology adoption.

Implement, configure, test, and deploy Workday HCM solutions for multiple clients. Lead requirements gathering, consulting, project delivery, process improvements, troubleshooting, and post-production support. Manage project scope, quality, timelines, and competing priorities while mentoring consultants and maintaining client satisfaction. Contribute to knowledge sharing and advise clients on Workday best practices across Recruiting, Talent, Performance, and related modules.

Own end-to-end global customer implementations from kickoff through go-live and handover. Build project plans, establish governance, coordinate multiple countries and workstreams, manage risks, dependencies, RAID logs, milestones, and escalations, and lead client status meetings. Coordinate internal teams and client-owned actions, ensure go-live readiness, maintain project documentation, and support continuous process improvement. The role requires strong stakeholder management, communication, organization, and experience delivering complex multi-country implementations.

Build and maintain scalable on-premises infrastructure using Infrastructure as Code, monitoring, CI/CD, virtualization, and cloud technologies. Manage high-volume data traffic, proxies, and infrastructure platforms while making architectural decisions and driving continuous technical improvement. Introduce emerging technologies and develop implementation roadmaps. The role also requires Linux administration, server-side development, AI tool management, and experience with Kubernetes, Google Cloud, Ansible, Terraform, and related technologies.

Lead global influencer and partnership strategy for a product: define campaigns, partner frameworks, regional execution, KPIs, and growth-focused performance analysis. Act as the product leadership representative, align cross-functional teams, recruit and scale influencer partnerships, support negotiations and business cases, and report results to senior stakeholders.

Designs, builds, and operates scalable data platforms, data lakes, and high-volume batch and streaming ingestion pipelines. Manages Kubernetes infrastructure with KEDA autoscaling, provisions the data stack using Terraform, and develops distributed data solutions for analytics, applications, AI workloads, and model execution. Ensures data quality, compliance, governance, reliability, and performance while providing technical guidance and improving infrastructure, CI/CD, testing, and system design practices.

Design, build, and ship AI-powered product features from prototype through production. Own architecture, model selection, integrations, evaluation, reliability, cost, and latency. Work across frontend, backend, and infrastructure while establishing reusable AI development practices. Collaborate with engineering and product teams to define requirements, identify risks, and deliver maintainable, monitored, production-ready systems using LLMs, embeddings, RAG, vector databases, and multiple providers.

Lead and grow a backend engineering team operating with AI-assisted development. Own delivery quality and predictability, hiring, performance management, technical direction, and team development. Partner closely with Product, engage directly with freight customers, and help establish effective AI engineering practices, agent guardrails, review standards, and autonomous workflows. Remain hands-on approximately one day per week while improving engineering processes and outcomes across a distributed, remote-first organization.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Leads full-cycle recruiting and talent acquisition strategy in Poland. Partners with hiring managers on sourcing plans, candidate screening, interview processes, offers, and onboarding transitions. Manages applicant tracking systems, recruitment accounts, pre-employment checks, recruiting analytics, employer branding, and social media promotion. Requires 5–7 years of in-house recruiting experience, strong stakeholder management, and knowledge of clinical practices and applicable Health Canada and FDA regulations.