Top Tech Jobs & Startup Jobs in Portugal

Design, deliver, and operate Cloudflare’s observability platforms, focusing on metrics and alerting systems. Solve scaling challenges in distributed services, research new technologies, support open-source initiatives, and participate in on-call rotations. The role requires software engineering expertise, distributed systems design, Linux, databases, Prometheus-based tooling, networking knowledge, and strong communication skills.

Build and operate globally distributed MCP Portal services that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic. Responsibilities include improving reliability and scalability, developing observability, debugging production issues, responding to incidents, adapting to protocol changes, and collaborating across product, security, and engineering teams.

Develops creative strategies for client briefs, translating business objectives, brand challenges, research, cultural trends, and consumer insights into compelling creative platforms. Writes creative briefs, strategic narratives, and client presentations; partners with creatives, analysts, account teams, project managers, and clients throughout campaign development. Provides strategic guidance, quality control, stakeholder management, and support for full-funnel, brand-led, multi-channel campaigns.

Designs, builds, and operates scalable batch, streaming, and real-time data platforms and pipelines. Responsibilities include data lake and warehouse development, cloud modernization, data quality, governance, security, observability, CI/CD, infrastructure automation, troubleshooting, architecture, and technical leadership. Partners with product, engineering, analytics, data science, and business teams to support reporting, marketing measurement, AI/ML, experimentation, and customer insights.

Supports Mastercard Merchant Solutions sales growth across Europe by identifying and progressing opportunities, preparing presentations, business cases, proposals, and RFP responses, participating in customer engagements, translating needs into solution recommendations, coordinating cross-functional deal execution, and supporting pipeline management, forecasting, reporting, and handoff to implementation teams.

Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.

Supports expense management and Corporate FP&A through budget-versus-actual analysis, forecasting, annual budgeting, long-range planning, monthly close activities, accruals, financial modeling, reporting, and executive presentations. Partners with Accounting, Finance leadership, and business stakeholders to explain variances, improve forecast accuracy, administer expense platforms, and identify AI and automation opportunities. The role also handles ad hoc financial analysis and projects.

Investigate emerging fraud patterns and modus operandi across merchants by analyzing large-scale transactional data with SQL, R, and Python. Collaborate with Data Science, Product, Engineering, Risk Operations, and Account Management to develop and improve fraud-detection tools. Monitor detection performance, identify gaps and drift, translate findings into actionable insights, and document methodologies. The role supports fraud prevention, detection accuracy, and merchant performance.

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.

Advise and enable Datadog partners across cloud migration, application modernization, and DevOps transformation initiatives. Responsibilities include onboarding, training, certification, technical workshops, joint planning, demonstrations, proofs of value, service-offering analysis, troubleshooting, and advocating partner needs internally. The role collaborates with product, engineering, and technical services teams to improve Datadog adoption and develop best practices. Candidates need strong IT development or operations experience, presentation skills, business acumen, and current EU residency.

Build and optimize platform services, CI/CD tooling, developer workflows, APIs, and infrastructure automation using Golang. Integrate testing and deployment pipelines, improve self-service developer experiences, standardize secure and scalable delivery practices, and contribute to incident response and post-mortems. The role requires expertise in Kubernetes, cloud platforms, infrastructure as code, distributed systems, microservices, and observability.

Enterprise Account Executive responsible for acquiring new enterprise customers, exceeding revenue quotas, building and managing an EMEA pipeline, developing partnerships, consulting senior executives, and accelerating SaaS buying processes. The role requires 7+ years of B2B SaaS sales experience, including new-business closing, enterprise account experience, and professional fluency in English plus French or German.

Build Superhuman’s AI agent platform, including orchestration, routing, planning, and multi-agent workflows. Develop and deploy machine learning systems for search ranking, proactive suggestions, and other AI-native product experiences. Integrate modern LLMs, contribute strong product judgment, and move rapidly from experimentation to production while working autonomously with cross-functional teams.