Top Tech Jobs & Startup Jobs in Poland

Lead end-to-end data science and machine learning initiatives for mobile gaming, including player behavior modeling, personalization, engagement and monetization optimization, experimentation, causal inference, statistical modeling, and production deployment. Collaborate with Product, Marketing, and Engineering while establishing technical standards, scalable tooling, documentation, and company-wide Data and AI best practices.

Leads strategic international communications for CSL’s Commercial & Medical business across 39 countries. Responsibilities include advising senior executives, developing communications strategy, managing crisis and reputational issues, directing internal communications, supporting brands and therapeutic areas, and leading a global communications team. The role requires extensive communications experience in a regulated industry and includes approximately 15% pan-European travel.

Lead SAP S/4HANA SD/MM Order-to-Cash consulting engagements, including solution design, configuration, implementation, integration, testing, and client support. Manage sales order management, pricing, billing, and credit management processes while aligning solutions with business objectives. Lead large-scale transformation projects, advise stakeholders, mentor team members, and contribute to knowledge sharing and best practices. The role is remote, with limited project-related travel.

Create and evaluate complex sales scenarios for frontier AI systems using QuickBooks expertise. Develop pricing quotes, commission calculations, pipeline and forecast reports, scoring rubrics, spreadsheets, proposals, and email sequences. Review AI outputs for logical, mathematical, and professional accuracy, and produce gold-standard examples. Requires substantial sales experience, hands-on QuickBooks use, strong analytical ability, precise attention to detail, and a two-week full-time commitment.

Monitor global cyber threats, analyze intelligence from OSINT, commercial feeds, industry platforms, and dark web tools, and correlate findings with internal security events. Develop KQL queries for threat hunting and investigations, produce intelligence reports and executive briefings, support full-lifecycle incident response and forensic investigations, and strengthen detection capabilities through threat modeling, playbooks, and collaboration with SOC and technology teams.

Leads ServiceNow IRM and GRC transformation and advisory engagements, covering enterprise risk, compliance, audit, operational resilience, business continuity, and third-party risk. Provides strategic assessments, solution design, implementation leadership, client advisory, stakeholder management, business development, bid support, and practice building. Requires strong ServiceNow expertise, consulting experience, sector knowledge, project leadership, organizational change capability, and excellent English and local-language communication skills.

Designs, develops, tests, deploys, monitors, and supports Workday inbound and outbound integrations, especially payroll integrations using PECI and PICOF. Responsibilities include incident management, break/fix support, regression testing, tenant configuration, data loads, upgrades, integration administration, production management, and data governance. The role also involves developing new integration systems and collaborating with international HR and IT stakeholders.

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.

Processes internal and external payments, supports Value of Goods shipment remittance, verifies delivery accuracy, coordinates with finance and other departments, maintains information flow, and provides internal and external customer service. Requires English proficiency, basic accounting knowledge, accurate data entry, Microsoft Office skills, organization, teamwork, time management, and the ability to work under pressure.

Analyze and manage investment fund content and data within LSEG’s financial markets data environment. The role involves learning about investment funds, asset classes, financial markets, AI, and emerging technologies. New hires receive training and are encouraged to optimize recurring tasks using tools such as Power BI, Power Automate, VBA, Python, and AI technologies. Previous professional experience is not required; curiosity, technology aptitude, and a growth mindset are emphasized.