6153 English-speaking jobs in Lisbon District

Experienced engineer (2-5 years) to own AI-first features end to end. Focus on AI coding tools, prompt engineering, and validating AI-generated code to production standard. Must have hands-on experience with AI coding tools and strong engineering fundamentals.

Senior Account Executive to uncover and manage new sales opportunities in the public sector. Develop relationships with C-level executives, articulate value propositions, and negotiate contracts. Requires 10+ years of enterprise software sales experience, 3+ years in application development, and a proven track record of named account selling.

Service Quality, Access and Procedures Officer needed for a national project. Responsibilities include client communication during incident resolution, ensuring procedural implementation, supervising services and SLAs, and managing user access and authorizations. Requires 5+ years of experience in operational services, KPIs, customer relationship management, documentation management, data governance, and banking processes. Fluency in English is required, French is a plus.

Junior Topday Clearing Officer needed for a national project. Responsibilities include trade allocation/clearing, trade monitoring, reconciliation, risk management, and communication with counterparties. Bachelor's degree in a relevant field, financial markets experience, and fluency in English required.

Forward Deployed Engineer needed to own customer outcomes and build production-grade AI workflows and integrations. 5+ years of software engineering experience, strong Python and SQL skills, and a data engineering background are required. Must have customer-facing experience working with enterprise clients.

The QA Architect defines and evolves the technical QA strategy, designs and implements the QA Test Center architecture, and supports the sales process by presenting and adapting the solution to clients.

The Master Data Specialist maintains, governs, and improves Vendor, Customer, and Finance Master Data processes. This role ensures data accuracy, integrity, and compliance across global business operations. The Specialist serves as a subject matter expert, driving data quality, supporting audits, and partnering with stakeholders.

Leads commercial sales operations for international client accounts, ensuring effective delivery through project teams. Serves as a senior client contact, building and maintaining relationships and identifying growth opportunities. Provides leadership, direction, and performance expectations for operational teams, ensuring project delivery aligns with sales targets, operational milestones, and quality standards. Manages staff and managers, fostering accountability, capability building, and succession planning. Collaborates with cross-functional teams to ensure seamless project execution and compliance with regulatory requirements.

Produces investment monitoring reports for UK pension funds, including asset allocation, performance, risk analysis, and strategy updates. Collaborates with Investments Consultants and other teams to analyze portfolios and support client reporting. Contributes to business transformation projects focused on process improvement and automation. Requires a degree in finance, economics, management, mathematics, engineering, or a related field, strong Microsoft Office skills, fluency in English, and proficiency in SQL/VBA/Python.

Monitors and assures data privacy and AI Trust compliance for Allianz Group and Allianz SE. Conducts Privacy Monitoring Reviews for Operating Entities, Third Parties, and AI assessments. Supports Privacy Risk Management with control testing activities.

Designs, builds, and deploys AI models and automated workflows for clinical trial and pharmacovigilance platforms. Drives company-wide AI initiatives by identifying use cases, creating modules, and guiding pilots. Implements AI trends such as OpenClaw, low-code/no-code platforms, federated learning, and explainable AI.

Assist in implementing and maintaining observability and monitoring solutions. Create and update dashboards, alerts, and reports using tools like Dynatrace, Datadog, Grafana, or PRTG. Support troubleshooting production issues and document observability setups.

Assist in implementing and maintaining observability and monitoring solutions. Create and update dashboards, alerts, and reports using tools like Dynatrace, Datadog, Grafana, or PRTG. Support troubleshooting production issues and document observability setups.

Designs, builds, and operationalizes AI systems that transform unstructured data into scalable, production-ready services. Develops and maintains production-ready AI services and APIs. Productionizes machine learning and Generative AI solutions, including model packaging, deployment, and lifecycle management. Collaborates with Data Scientists to transition models into production environments.

Design and layout impactful presentations for a global team of consultants. Collaborate with partners and consultants to transform concepts into compelling visuals.

Manages cross-functional projects to ensure digital shelf initiatives support sales plans and maximize share of wallet. Monitors marketplace requirements and creates E-Commerce channel-specific content to drive traffic and increase conversion rates. Analyzes user behavior and reports KPIs for digital shelf performance.

Leads and manages a team of underwriters, ensuring effective workload prioritization and service delivery. Underwrites, prices, and negotiates new and existing business, retaining and growing the portfolio. Builds strong broker relationships and collaborates with other departments.

Analyzes product performance, develops dashboards, and provides insights to support decision-making and enhance customer experience. Collaborates with global teams to optimize processes and improve data architecture. Requires experience as a Product Analyst, user behavior analysis, SQL, BI tools (e.g., Quicksight), and AI-tools for data analysis.

Lead the MLX engineering team, responsible for Intapp's AI platform infrastructure. Manage delivery, accountability, stakeholder relationships, and team growth. Possess strong technical background and experience managing software or platform engineering teams.

Lead and grow an engineering team focused on Intapp's AI-first product development lifecycle platform. Own the direction, success metrics, and outcomes for the team's area. Champion AI-first practices and translate business needs into actionable work.