Top Artificial Intelligence Jobs in Warsaw

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

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.

Drive revenue growth for Scaleway’s cloud and AI products across Poland. Develop market penetration strategies, target mid-to-large enterprise prospects, manage complex sales cycles, engage C-level stakeholders, present technical value propositions, collaborate with sales leadership, and consistently achieve sales targets and KPIs. The role requires enterprise sales experience, MEDDIC and complex selling expertise, cloud and AI industry knowledge, Polish market understanding, and fluency in Polish and English.

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.

Designs, builds, balances, and polishes levels for a hybrid casual RPG in Unity. Owns the level design roadmap, specifies features, uses player data and playtests for iteration, and combines AI-generated content with independent design judgment. The role requires shipped game levels, strong combat and progression balancing, feature design experience, data-driven tuning, and daily use of AI tools.

Provides privacy and data protection legal advice across the EMEA region. Responsibilities include interpreting GDPR and related regulations, negotiating data processing and transfer agreements, conducting privacy and transfer impact assessments, advising on digital health and AI initiatives, supporting incident investigations, and developing global privacy governance resources. The role collaborates with Legal, IT, Security, HR, Clinical, R&D, and technology teams in a global healthcare environment.

Leads regional commercial real estate transactions, including acquisitions, dispositions, sale-leasebacks, and lease negotiations. Coordinates brokers, clients, JLL teams, and external stakeholders; manages timelines, approvals, budgets, KPIs, and transaction reporting. Supports portfolio strategy, due diligence, financial analysis, and programme management while driving process improvements and maintaining accurate records.

Own the strategy, roadmap, and full lifecycle of AI-powered products built on ICON’s multi-agent framework and central AI platform. Translate business needs into product specifications, user stories, and acceptance criteria; manage backlogs; partner with engineering teams; define success metrics; lead launches; and communicate priorities across stakeholders. The role requires technical product management experience, AI or data-driven product delivery expertise, agile collaboration, and strong stakeholder management.

Own and operate infrastructure security engineering across detection engineering, incident response, AWS and Kubernetes security, endpoint hardening, DLP, vulnerability management, and security automation. Build SIEM detections, ML-based analytics, and LLM-powered workflows while investigating incidents and driving remediation. Secure Linux, macOS, and Windows environments, perform network analysis and penetration testing, and partner with engineering teams to improve security across production infrastructure.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

Own and expand relationships with three strategic financial-services clients in Poland. Develop account strategies, lead complex enterprise technology sales cycles from discovery through close, engage C-level executives, collaborate with Salesforce experts and partners, and identify expansion opportunities across business units.

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.

Lead enterprise AI strategy and advisory engagements, defining roadmaps, prioritizing use cases, building AI Centers of Excellence, and guiding initiatives into production. Advise C-level stakeholders, assess emerging technologies, develop investment cases, drive AI adoption and change management, facilitate strategic workshops, and support proposals and client relationships. The role requires strong AI expertise, strategic communication, stakeholder management, and technical judgment without daily hands-on implementation.

Own the strategy and execution of integrated B2B marketing campaigns for enterprise AI solutions and a self-service platform. Drive pipeline, product adoption, acquisition, and category awareness through ABM, content, events, paid media, lifecycle, social, partnerships, PR, and sales activation. Coordinate internal teams and agencies, optimize messaging and conversion paths, and measure performance across account engagement, pipeline, product adoption, and awareness.

Lead enterprise AI use cases from discovery through deployment and measurable business impact. Identify opportunities, build business cases, configure AI data models, agents, copilots, and workflows, manage implementation milestones and risks, validate solution quality, drive customer adoption, and measure business outcomes. Partner with customers, Account Executives, Solutions Architects, Product, and Engineering teams while creating repeatable implementation playbooks.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Leads complex quantitative research projects from initial brief through final delivery for international brands. Responsibilities include research design, fieldwork, analysis, reporting, client relationship management, project planning, budget and quality control, cross-market collaboration, process improvement through AI and automation, and mentoring junior colleagues.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.

Write high-impact copy for Kraken Pro across campaigns, landing pages, emails, in-app experiences, paid ads, and social media. Translate complex trading products into compelling messaging, maintain brand voice, support product launches, collaborate with Design, Product, Growth, Social, Legal, and Communications, and optimize copy through testing and performance analysis. The role requires strong writing range, crypto and trading culture fluency, speed, creativity, and attention to compliance.

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Build and operate secure, scalable multi-cloud platform infrastructure supporting AI and agentic AI workloads. Develop Terraform modules, CI/CD pipelines, GitOps workflows, Kubernetes platforms, autoscaling, observability, access controls, and self-healing automation across AWS, Azure, and GCP. Maintain platform services, enforce compliance guardrails, improve reliability and cost efficiency, contribute to architecture, and mentor engineering teams in regulated environments.

Supports technical integration projects for digital dental technologies, including validating and integrating partner CAD data into a large component database. Uses AI tools from Anthropic and OpenAI to automate and optimize workflows while ensuring ISO 13485 regulatory and quality compliance. The role involves collaboration with manufacturers, technology partners, CAD specialists, and internal experts, with opportunities to contribute to digital libraries and the development of CAD software solutions.

Leads GxP validation, qualification, and testing across applications, data platforms, cloud infrastructure, and enterprise systems. Develops risk-based assurance strategies using CSA principles, authors and approves validation deliverables, oversees contractors and partners, supports AI-enabled application assurance, and improves validation methodologies, tools, automation, and audit readiness in collaboration with Digital, Quality, Compliance, and system owners.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.