Top Artificial Intelligence Jobs in Lisbon

Leads the product strategy, roadmap, and scaling of Mastercard’s Global Portfolio Optimization capabilities. Converts analytics and business insights into technology-enabled products, recommendations, and workflows through the Mastercard Intelligence Centre. Defines the organization’s AI strategy, evaluates automation and emerging technologies, develops business cases and KPIs, and guides cross-functional teams through delivery, adoption, and optimization. The role requires strong product leadership, technical fluency, quantitative reasoning, stakeholder management, and the ability to drive outcomes in a matrixed organization.

Supports the development, commercialization, and growth of products serving Mastercard ecosystem partners. Analyzes market, customer, and performance data; tracks KPIs and adoption metrics; identifies opportunities; and develops actionable recommendations. Partners with product, technology, analytics, and data science teams on AI-enabled capabilities, go-to-market initiatives, partner adoption strategies, dashboards, presentations, and regional ecosystem growth.

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.

Design, develop, deploy, and optimize machine learning and AI solutions, including predictive models, foundation models, LLM applications, and generative AI systems. Build scalable data pipelines, apply MLOps and DevOps practices, monitor production models, analyze large datasets, and leverage cloud AI services. Collaborate with engineers, data scientists, product owners, and business stakeholders to deliver measurable outcomes and communicate technical recommendations.

Research and identify high-profile technology speakers, develop persuasive outreach, build relationships with speaker representatives, and secure speakers for Web Summit stages. The role manages speaker data and acquisition workflows, prepares detailed speaker dossiers, conducts VIP briefings, and consistently meets acquisition targets in a fast-paced environment.

Develops and deploys data science, advanced analytics, and AI solutions to improve business decisions, commercial effectiveness, and productivity. The role partners with commercial, medical, finance, and business teams; builds predictive models, dashboards, automated workflows, customer segmentation, and next-best-action solutions; and supports data governance, privacy, responsible AI, and adoption of data-driven practices.

Senior Commercial Counsel will negotiate enterprise sales, partnership, vendor, services, data licensing, and marketing agreements. The role advises on privacy, intellectual property, data security, AI law, and cross-border data transfers across the UK/EU and APAC. Responsibilities include building scalable legal processes, supporting sales and business development, managing international regulatory issues, and translating evolving AI legal developments into practical guidance for a fast-growing company.

Manage a portfolio of SMB customers as a trusted technical advisor, supporting solution discovery, cloud adoption, consumption, retention, and growth. Identify and develop new business opportunities through the full sales cycle, maintain customer relationships, and keep CRM records and sales pipelines accurate. The role requires fluent Dutch, strong communication, customer-oriented problem-solving skills, computer proficiency, and eligibility to work in the EU or Portugal.

Own the end-to-end B2B lead lifecycle, including segmentation, scoring, qualification, routing, automation, AI workflows, and sales handoffs. Develop pipeline health KPIs, analyze conversion and revenue metrics, improve lead-management tooling, and establish SLAs and feedback loops across Marketing, Telesales, Key Account Management, and Global Account Management. The role combines B2B sales strategy, revenue operations, process implementation, stakeholder management, and cross-functional influence.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Own the vision, roadmap, business case, pricing, P&L, and go-to-market strategy for new software-defined rail products. Identify market opportunities, translate customer needs into requirements, and guide solutions from concept to first paying customers. Coordinate engineering, safety, certification, commercial, and business development teams while balancing certification milestones and customer commitments in a regulated, safety-critical environment.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Own and grow a globally distributed legal outsourcing function of approximately 14 lawyers and paralegals. Lead team development, redesign NDA workflows using artificial intelligence, improve productivity and service quality, and expand services into additional contract categories. Manage turnaround times, client outcomes, and stakeholder relationships with firm leadership. Build a structured, metrics-driven operating model and work aligned with US Eastern business hours.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Develop and deploy AI/ML and generative AI models for classification, regression, clustering, and recommendation. Analyze large datasets, engineer features, optimize models for scalable real-time inference, and validate robustness. Collaborate with engineers, product owners, stakeholders, and partners to translate business needs into solutions. Ensure explainability, auditability, privacy, and regulatory alignment while mentoring junior team members.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Own the enterprise revenue number across Southern Europe and the UK, leading Sales, Solutions, Partnerships, and Customer Success. Close strategic SaaS deals personally while coaching regional sales leaders, building partner-sourced pipeline, enforcing HubSpot and sales-process discipline, managing proposals and discounts, and driving professional services sales. The role requires predictable pipeline execution, expansion revenue, multi-market leadership, and consistent enterprise deal progression.

Develop and maintain NLP and generative AI products, including RAG systems, content generation, and recommendation applications. Responsibilities include dataset selection and annotation, rapid prototyping, experimentation, statistical evaluation, production deployment, and iterative system improvement. The role requires staying current with AI advances, communicating technical concepts to stakeholders, and collaborating across international teams while addressing multilingual challenges.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.