Top Artificial Intelligence Jobs in Poland

Own end-to-end product design for new B2C and internal AI products, from discovery and prototyping through launch and iteration. Lead zero-to-one design in ambiguous environments, shape non-deterministic user experiences, conduct research, influence product strategy, and partner closely with product, engineering, and leadership. Create visually rich, scalable experiences with strong UX, visual design, systems thinking, and craft.

Drive operational excellence for the Customer Experience organization by building KPI dashboards, improving management reporting, automating workflows, and applying AI tools to reduce manual work. Manage cross-functional projects, governance frameworks, integrations, risks, milestones, data-quality testing, documentation, and internal training. Partner with international stakeholders to improve communications and support strategic decision-making through accurate, actionable business insights.

Own central FP&A at a high-growth AI company, including the driver-based company model, budgeting, reforecasts, monthly reporting, board materials, and capital allocation analysis. Build planning processes in Pigment, consolidate inputs across functions, and provide actionable financial recommendations to executives and the board. The role requires hands-on financial modeling, commercial judgment, unit economics expertise, planning-tool experience, SQL, and data warehouse fluency.

Manage the full sales cycle for NVIDIA technology solutions across enterprise accounts in Central and Eastern Europe. Responsibilities include prospecting, presenting solutions, negotiating, closing deals, forecasting, achieving quota, developing customer and channel partner relationships, and collaborating with sales, marketing, and technical teams. The role focuses on cloud, AI, deep learning, and software development solutions and requires Polish and English fluency, Salesforce expertise, and approximately 5% travel.

Develops and governs enterprise data architecture, including conceptual, logical, and physical data models; master and reference data standards; metadata, lineage, data flows, and data quality controls. The role leads architecture designs across integrated technologies, documents current and future-state landscapes, resolves cross-functional data issues, assesses risks and trade-offs, and aligns programs with enterprise data principles and business objectives.

The QA Engineer owns quality throughout the product lifecycle, partnering with Product Managers and Engineers to create testable requirements, identify risks, and validate releases. Responsibilities include exploratory and structured testing of APIs, integrations, workflows, data, and business rules across sports and betting products. The role uses automation, AI, LLMs, and scripting to improve testing efficiency, investigates complex data flows, and advocates for customer-focused quality.

Provides legal leadership for Galderma’s AI Center of Excellence, overseeing AI governance, regulatory compliance, privacy, contracts, intellectual property, risk classification, documentation, incident response, audits, and post-market monitoring. Advises cross-functional teams on the EU AI Act, GDPR, data usage, model transparency, fairness, security, and claims requirements. Develops AI policies, controls, training, and practical guidance while monitoring evolving AI regulations and standards.

Supports the development, deployment, maintenance, and improvement of expert systems and Advanced Process Control applications for industrial process optimization. Responsibilities include analyzing operational data, integrating PLC, DCS, and industrial data systems, troubleshooting technical issues, documenting solutions, collaborating with international teams, and supporting implementation projects at production plants. The role offers mentoring and development in automation, AI, process control, and industrial digitalization.

Lead clinical data science and statistical analytics across pharmaceutical development studies. Design analyses using clinical, biomarker, real-world, and external data; oversee partners; define regulated, submission-ready data flows; apply statistics, machine learning, simulation, and visualization; manage analytical risks; mentor colleagues; and advance reproducible, automated, AI-enabled clinical data science practices.

Develop positioning, messaging, sales enablement, competitive intelligence, customer evidence, campaigns, launches, and thought leadership for Neo4j GraphAware industry solutions. The initial focus is financial crime intelligence for financial institutions. The role researches markets and buyers, translates complex technology into customer value, supports enterprise sales, and collaborates across Product, Sales, Content, Demand Generation, and Regional Marketing.

Leads the establishment, growth, and operational maturity of Takeda’s Data and Quantitative Sciences organization in Poland. Oversees workforce strategy, recruiting, onboarding, training, talent development, organizational effectiveness, strategic initiatives, change management, governance, and site leadership. Partners with global DQS leaders, HR, talent acquisition, and Poland GCC stakeholders to scale capabilities, improve delivery excellence, manage risks, and align local operations with global R&D priorities across a complex matrix environment.

Supports strategic governance and business operations across client experience, operational excellence, risk and resiliency, and employee engagement. Produces metrics, reports, presentations, and analysis; tracks initiatives, risks, issues, and escalations; supports strategic and transformational projects; and uses technology and AI tools to improve processes. The role requires strong organization, communication, analytical, presentation, collaboration, and prioritization skills in a hybrid environment.

Lead Netguru’s PMO team, establish priorities and ways of working, and support Delivery Managers, Project Managers, and Sales. Oversee project reporting, financials, risks, contract compliance, budgets, processes, and cross-functional handovers. Manage Productive, Salesforce, and related business tools while identifying automation opportunities and defining requirements for technical teams. The role requires PMO leadership experience in a software development environment, strong reporting and risk-management skills, and fluent Polish with at least B2 English.

Own complex financial provision calculations, including inventory obsolescence and accounting estimates, while supporting close, reconciliations, governance, and audits. Build databases, automated models, macros, and AI-enabled finance solutions using tools such as Excel, SQL, Python, and Power Automate. Partner with IT and digital teams to improve accounting workflows, investigate reconciliation issues, standardize processes, and eliminate recurring problems.

Manages commercial accounts in Poland, leading full-cycle enterprise software sales from prospecting through deal closure. The role focuses on new business acquisition, account expansion, strategic value selling, ROI analysis, forecasting, quota attainment, and executive relationship management. The Account Executive coordinates with sales engineers, professional services, executives, partners, and marketing to execute account strategies and grow revenue.

Own the end-to-end administration of venture funds, including LP onboarding, KYC/AML, closings, capital calls, deal execution, reporting, and investor due diligence. Manage client relationships with GPs and LPs, review transaction documents, resolve operational issues quickly and accurately, coordinate signatures and wires, and identify improvements for the AI-powered platform. The role is fully remote with substantial overlap with Central European business hours.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Leads strategy, transformation, governance, and execution for Global Development Operations at a pharmaceutical company. Serves as strategic advisor and Chief of Staff to the GDO Head, coordinating portfolio prioritization, delivery insights, operating rhythms, risk management, AI-enabled transformation, leadership communications, and stakeholder alignment across global clinical development operations. Builds and leads a high-performing team while driving organizational effectiveness, trial delivery visibility, and execution across therapeutic areas, regions, and functions.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Develop new B2B business for Capalo AI in Poland by identifying prospects, conducting outreach, understanding customer needs, presenting AI-powered energy storage solutions, and managing the sales cycle through negotiation and contract execution. Maintain CRM pipeline data, respond to inbound inquiries, build customer relationships, and develop expertise in energy markets, battery storage, and virtual power plants.

Leads compliance technology and data initiatives for KYC, KYB, AML, underwriting, fraud prevention, and risk management. The role analyzes and automates workflows using AI, ML, OCR, RPA, regex, and LLMs; validates models and data; integrates identity, CRM, and lifecycle systems; develops risk scoring and decisioning solutions; ensures regulatory and ethical compliance; and collaborates with Engineering, Operations, Data Services, and Product teams.

Lead SAP SuccessFactors and SmartRecruiters HR transformation implementations for enterprise clients. Own delivery plans, quality, risks, workshops, root-cause analysis, testing, configuration, and go-live. Advise clients on AI-powered HR automation, workforce transformation, and autonomous enterprise models. Manage senior stakeholders, connect technology investments to customer value, and mentor distributed consulting teams across Europe.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Own the AI and agentic decisioning strategy for payment operations across Europe and North America. Define autonomy and human-oversight frameworks, prioritize AI portfolios, measure value realization, guide digital self-service improvements, and lead responsible AI governance. Establish blended human-AI operating models, workforce readiness, and executive stakeholder alignment across Product, Technology, Risk, Compliance, and Operations.

Lead and close complex enterprise sales across the region, develop C-level relationships, acquire new customers, expand existing accounts, and achieve pipeline and revenue targets. Maintain accurate Salesforce records, sell through a value-based approach, and collaborate with system integrators and hyperscalers. The role requires strong enterprise sales experience, executive communication, solution selling, pipeline management, and success in fast-growing AI or SaaS environments.