Top Remote Jobs in Warsaw

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.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Develops and scales visual marketing campaigns for fintech audiences across paid social, display, search, OOH, affiliate, and partner channels. The role translates marketing objectives into compliant creative assets, maintains templates and design system components, localizes campaigns for multiple markets, and improves design workflows. Collaboration spans marketing, product, brand, data, CRO, and compliance teams, with a focus on acquisition performance, conversion, brand consistency, and regulated financial promotions.

Design, implement, and maintain scalable Azure cloud infrastructure, deployment architectures, CI/CD pipelines, Kubernetes environments, monitoring frameworks, and Infrastructure as Code. Apply security best practices, optimize performance and observability, automate infrastructure management, collaborate with development and client teams, advise stakeholders, and support timely project delivery.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Manages customer maintenance contract renewals, monitors expiring agreements, prepares proposals and quotes, handles pricing and reinstatement inquiries, and supports upselling premium services and additional products. The role focuses on customer retention, revenue growth, quota achievement, accurate CRM documentation, and collaboration with customers, channel partners, and internal teams. Fluency in English and German is required, along with at least two years of software sales experience and basic virtualization knowledge.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Own the architecture, operation, and scaling of Sezzle’s AWS and Kubernetes infrastructure. Design resilient cloud systems, optimize Aurora MySQL/PostgreSQL databases, improve reliability and observability, automate infrastructure with code, lead disaster recovery and incident response, and deliver measurable gains in performance, capacity, cost, and availability. Build AI-assisted SRE tooling with appropriate controls while partnering across engineering, security, compliance, and application teams.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.