Top Tech Jobs & Startup Jobs in Lisbon

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.

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.

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.

Supports the end-to-end Order to Cash process, ensuring accurate billing data across Salesforce, billing systems, and NetSuite. Manages monthly billing cycles, performs billing calculations, prepares reports, monitors KPIs, supports SOX controls, and resolves operational issues with cross-functional teams. The role also drives workflow improvements, automation, AI tool adoption, and trains Sales teams on data-entry and system usage.

Supports financial control, month-end and year-end close, reconciliations, financial reporting, audit preparation, compliance, and internal control improvements. The role investigates discrepancies, maintains accurate accounting records, collaborates with internal and external stakeholders, and helps develop scalable finance processes.

Leads and develops a team of 4–8 library engineers building Datadog’s open-source APM SDK platform. Responsibilities include team coaching, delivery planning, technical architecture, software quality, cross-functional collaboration, platform capability development, and contributing code. The role requires strong engineering leadership, significant programming experience in Go, C, or Rust, and the ability to move between product strategy and technical implementation.

Own and improve global capacity models, forecasting, scheduling, shrinkage tracking, and hiring plans for a premium 24/7 support operation. Use Genesys Cloud, AI, automation, scripting, and custom algorithms to optimize synchronous and asynchronous workloads across regions. Validate models with dashboards and system outputs, configure workforce management systems, and communicate staffing recommendations to operations leaders and recruiting.

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.