Top Remote Jobs in Warsaw

Develop and maintain a high-performance cross-platform C++17 navigation library for iOS, Android, and embedded automotive systems. Improve map-matching, dead-reckoning, route following, traffic incident handling, predictive caching, and offline routing. Integrate the Valhalla routing engine and build resource-efficient features under strict CPU and memory constraints. Engineers will also use AI tools thoughtfully in development and discuss their engineering workflow during interviews.

Own a portfolio of enterprise accounts, guiding customers from deployment to measurable value across SUSE’s Linux, cloud-native, edge, and AI solutions. Develop customer success plans, drive adoption, retention, renewals, and expansion, build executive relationships, and coordinate Support, Consulting, Engineering, Training, and Sales teams. Translate customer health insights into internal product and go-to-market improvements. The role requires fluent German and English, DACH enterprise experience, commercial judgment, and 5–10% travel.

Provides reception, office administration, mail handling, meeting coordination, supply and vendor management, event organization, travel and expense support, facilities coordination, onboarding assistance, and confidential document handling. The role is fully office-based, Monday through Friday, and requires strong organization, communication, customer service, and Microsoft Office skills, along with English and Polish proficiency at B2 level.

Build and manage a high-volume M&A origination pipeline across Central and Eastern Europe. Identify vertical B2B software companies, contact founders and CEOs, conduct qualification calls, assess SaaS and software business models, and manage interested prospects through NDA and information-request stages. Maintain disciplined HubSpot CRM records, attend industry events, build regional relationships, and share origination insights with the wider European team.

Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Manage end-to-end data engineering, cloud, and machine learning consulting projects for EMEA customers. Responsibilities include defining scope, objectives, budgets, timelines, and resources; coordinating cross-functional teams and stakeholders; managing risks, escalations, and customer communications; improving delivery processes; and ensuring adherence to project management standards and methodologies.

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Develop and maintain web-service features, design backend APIs and business logic, review code, and improve production infrastructure reliability, redundancy, and resilience. The role requires strong programming, database design, web-service API, AWS, Linux, Docker, Kubernetes, and continuous deployment experience, along with communication, analytical, and teamwork skills.

Audit and assess a voice AI platform integrating Twilio, real-time LLMs, and AWS services. Review call bridging, media streams, session logic, APIs, background jobs, schemas, reliability, capacity, alerting, and incident response. Deliver a findings report and prioritized implementation roadmap, then provide part-time advisory support on architecture, webhook contracts, telephony integrations, prompt design, and production operations.