Top Tech Jobs & Startup Jobs in Portugal

Owns end-to-end delivery of Mastercard business initiatives across European markets. The role coordinates product, technology, franchise, sales, customers, and internal stakeholders; manages complex projects and implementation workplans; supports presales solution assessments; resolves operational escalations; monitors customer satisfaction and performance; and drives service and delivery process improvements. The position is based in Lisbon, requires fluent English and Spanish, and involves travel to supported countries.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Serve as a senior technical advisor for Cloudflare One, partnering with sales and customers to design, demonstrate, and validate SASE and Zero Trust security solutions. Analyze customer environments, address network and security requirements, guide proof-of-value engagements, explain competitive advantages, support revenue goals, and relay customer feedback to product and engineering teams. The role also focuses on enterprise AI security, including Shadow AI visibility, DLP, MCP access controls, and agentic AI governance.

Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.

Own end-to-end recruitment across Lisbon, Europe, and other non-North American regions. Partner with hiring managers on sourcing strategies, recruit across technical, product, GTM, and G&A functions, build diverse talent pipelines, evaluate recruiting metrics, improve hiring processes, and support employer branding. The role requires strong cross-functional collaboration, European recruiting experience, ATS and sourcing-platform expertise, and hybrid work in Lisbon two days per week.

Leads the Adversary Services function, including threat intelligence, adversary emulation, red teaming, detection validation, and security research. Translates attacker behavior into security outcomes through cloud-focused campaigns, detection engineering, purple teaming, and risk advisory. Oversees cybersecurity teams, develops strategic roadmaps, briefs executives, and improves enterprise resilience against evolving threats.

Research and exploit vulnerabilities in LLM applications and autonomous agents. Build attack tooling, agent harnesses, evaluations, benchmarks, and reproducible proofs of concept to improve AI security products. Conduct AI red teaming, offensive security testing, failure analysis, experimental validation, and exploit reporting. Collaborate with research teams and communicate technical findings, risks, tradeoffs, and remediation recommendations to technical and non-technical stakeholders.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Build and operate AI-powered developer tools, agentic workflows, backend services, APIs, and integrations with engineering platforms. The role involves applying software engineering practices to AI evaluation, testing, monitoring, and feedback loops; collaborating with developers; evolving platform architecture; and improving engineering processes and documentation.

Own data science for customer-facing product features, including LTV prediction, experimentation, benchmarking, and forecasting. Proactively analyze data to identify customer problems and product opportunities, build and deploy production-grade models, and influence product roadmaps. Partner with Product, Engineering, and Analytics, communicate findings to varied audiences, iterate on shipped features, and lead new data-driven initiatives.