Top Artificial Intelligence Jobs in Lisbon

Lead AI initiatives for Datadog Notebooks by designing, developing, and deploying ML/AI-driven features, including robust agent systems and enhanced user experiences.

As a Principal Solutions Architect, you will guide customers in using GitLab's AI-powered platform, driving technical strategy and engagement across the software lifecycle while collaborating with multiple teams to enhance adoption and success.

Manage global AI-focused B2B marketing campaigns, create compelling narratives, develop content, and partner with various teams for successful campaign execution.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Lead design, development, and deployment of AI-driven Notebook features. Drive technical strategy, prototype and scale ML systems, build agent workflows, define evaluations, coordinate cross-team integration, and mentor engineers.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

As a Performance Marketing Strategist, you will analyze and optimize acquisition campaigns, leverage AI tools for creative strategies and leadership, and manage external agencies to enhance campaign effectiveness.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile applications, collaborate with teams, and analyze data to enhance user experience.

As an AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

The role involves designing and operating AI solutions, such as LLM-enabled workflows and integrated systems, ensuring production standards.

Lead the development of a SaaS platform, mentoring a team and integrating AI capabilities while driving architectural decisions and ensuring alignment with business goals.

Serve as the technical and product expert for Zendesk AI, guiding customers through configuration, integrations, adoption, and optimization. Drive on-time project delivery, change management, training, and cross-functional collaboration to ensure measurable business outcomes, retention, and scale of AI solutions.

Lead design for Zendesk Knowledge, creating AI-driven knowledge and Help Center experiences. Partner with PMs, engineers, researchers, and content strategists to prototype, test, and deliver interaction models, flows, and high-fidelity designs that scale and improve conversational AI and self-service outcomes.

The Senior ML Engineer will collaborate with ML Scientists, lead discussions on system design, manage ML projects, and develop scalable infrastructure for ML features.

Drive new business and provide exceptional customer experience by generating leads and collaborating with the sales team in a hybrid work model.

The Lead AI Engineer will design and implement AI-powered data systems, focusing on agentic frameworks, NLP, and collaboration with data engineering teams.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

The Principal Manager, Applied AI leads AI-native transformation, optimizing corporate functions, managing R&D outputs, and ensuring effective alignment with strategic business goals. Responsibilities include overseeing the integration of AI into workflows, managing the innovation backlog, and driving change leadership for AI adoption across functions.

The Principal AI/ML Scientist & Engineer will lead a team, focusing on AI/ML strategy and developing data products for business outcomes.

The Senior ML Scientist is responsible for researching and building machine learning solutions for AI capabilities, collaborating closely with teams to improve customer support systems using ML techniques.

As a Staff Frontend Engineer, you will lead frontend feature delivery, collaborate across teams, ensure high-quality UI, and mentor junior engineers for the AI Copilot organization.

The Senior Machine Learning Engineer will build and deploy sophisticated AI systems, focusing on Large Language Models, to drive business value and enhance customer experience through machine learning solutions.

The AI Program Manager will centralize AI governance, align initiatives with business objectives, develop AI roadmaps, and drive change management to enhance AI adoption across the organization.