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.

Manage and optimize SIXT offers across global partner platforms such as Expedia and Booking.com. Responsibilities include partner setup and go-live support, offer quality monitoring, performance analysis, revenue opportunity identification, promotional support, lead screening, reporting, and process documentation. The role collaborates with account management, product, operations, sales, and franchise teams worldwide while using data and AI-supported tools to improve partner distribution and commercial performance.

Creates and maintains technical documentation for software users, partners, administrators, and developers. Produces release notes, installation guides, administration guides, developer guides, API references, and use cases. Uses AI tools to research products, identify knowledge gaps, improve content workflows, and enhance documentation. Collaborates with Support, Product, and client-facing teams while maintaining consistent global tone, accessibility, and accuracy across multiple projects.

Build complex, reliable, high-impact systems across infrastructure, machine learning, AI agents, LLM-driven tools, logistics, and B2B platforms. The role requires strong full-stack engineering expertise, data-driven decision-making, rapid experimentation, and the ability to independently solve challenging technical and business problems in a compact, autonomous team.

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.

Lead quality standards deployment across Airbus Customer Services and cross-programmes. Responsibilities include defining quality strategy, integrating problem-solving methods, coaching teams, driving quality mindset change, and coordinating with quality, AOS, and programme stakeholders. The role also manages Skywise project folders and dashboards, serves as the Skywise and Gemini focal point, and supports digital quality initiatives. Strong quality management, analytical, communication, change management, and cross-functional leadership skills are required.

Leads cross-functional operational excellence and continuous improvement initiatives across production, supply chain, support, maintenance, and deployment. Assesses processes, identifies bottlenecks and root causes, redesigns workflows using Lean, Kaizen, and Six Sigma, and supports implementation and change management. The role standardizes best practices across geographies, conducts operational reviews and field visits, and drives data-informed efficiency improvements with operations and program management teams.

Leads customer success planning and execution for Microsoft customers, aligning stakeholders, technology investments, and business priorities. Builds trusted advisor relationships, orchestrates Microsoft and partner teams, drives cloud adoption and AI transformation, manages customer risks and dependencies, and measures value realization. Requires customer-facing success, consulting, solution delivery, practice management, or portfolio management experience, relevant certifications, and German proficiency.

Design user experiences for airport and passenger-facing products, including kiosks, boarding systems, and self-service touchpoints. Conduct research, journey mapping, usability testing, and prototyping using Figma and AI-assisted tools. Collaborate with product, engineering, AI, and design teams; document AI-assisted UX practices; present concepts; and support workshops focused on passenger experience.

Designs and operates reusable AI capabilities, platforms, APIs, tools, agent infrastructure, RAG systems, evaluation frameworks, and guardrails. The role develops an internal MCP server, drives AI adoption, consults with cross-functional stakeholders, and owns projects from requirements through deployment and operations. It requires strong backend engineering, cloud experience, DevOps capability, product thinking, and organizational influence.

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.

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.

Own product positioning, messaging, launches, and adoption for solutions targeting banks, asset managers, and financial market infrastructures. Create AI-enabled sales and marketing assets, conduct competitive and market intelligence, build CMS-based solution pages, support institutional pilot programs, develop thought leadership, incorporate customer feedback into product strategy, and measure launch outcomes. The role is fully remote within UTC-5 to UTC+2.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Own a complex global enterprise client account across multiple consumer brands, regions, stakeholders, and concurrent influencer campaigns. Lead client relationships, onboarding, campaign delivery, cross-functional coordination, KPI reporting, post-campaign analysis, executive presentations, and product feedback. Maintain timelines, budgets, scopes, tracking, capacity, and operational quality while identifying and resolving issues early. The role emphasizes hands-on creator marketing, TikTok expertise, AI-enabled analysis, and highly organized enterprise account servicing.

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.

Own post-deployment value, adoption, and expansion for strategic Private Cloud AI customers. Advise customers on enterprise AI, GenAI, agentic AI architectures, roadmaps, use cases, and platform scaling. Lead value reviews, workshops, and onsite engagements; identify expansion opportunities; build technical and commercial value cases; and collaborate with Sales, Product, Engineering, and Support. Develop reusable global playbooks, governance, metrics, and customer engagement processes.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

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.

Leads a cross-functional engineering team building payment intelligence products using machine learning and AI. Owns product delivery, quality, operations, technical standards, prioritization, experimentation, and stakeholder expectations. Manages engineers, a designer, and data scientists while hiring, coaching, and developing team members. Requires hands-on coding experience with Python, Ruby on Rails, JavaScript, and React, plus strong communication, collaboration, and ownership.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Leads customer pricing strategy, annual price-increase performance, cohort-based retention reporting, churn analytics, and revenue operations data integrity across four business units. The role coordinates with finance, billing, sales, marketing, business systems, and operational leaders to optimize pricing, reconcile forecasts, improve dashboards, and connect CRM, quoting, and billing data. It also manages and develops a Pricing Analyst.

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.