Top Tech Jobs & Startup Jobs in Lisbon

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.

Supports Cloudflare’s Infrastructure Strategy team by managing workflows, operational trackers, resource assignments, invoice reconciliation, contract processing, Jira project tracking, purchase orders, partner onboarding, and forecasting capabilities. The role coordinates network infrastructure operations and helps maintain accurate data across multiple systems, requiring strong spreadsheet skills, organization, vendor-system experience, and practical problem-solving abilities.

Owns a portfolio of combined identity, fraud, advisory, and network product offerings from opportunity assessment through launch. Defines positioning, value propositions, target segments, sales motions, and enablement. Analyzes large datasets using Tableau and Power BI to size opportunities, track KPIs, and guide business cases. Develops market insight and thought leadership while securing alignment across product, consulting, sales, and regional teams in a complex matrixed organization.

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.

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.

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 Order to Cash activities, including out-of-stock reporting and root-cause analysis, customer order management through invoicing in SAP, customer service finance processes, direct debits, and payment updates. Collaborates with Logistics, Sales, Category Management, and back-office teams. The role provides 12 months of early-career training and development in Lisbon.

Assist clients with implementing Agicap’s banking and accounting data integrations. Collect and transform customer data using SQL and Python, manage integration projects, collaborate with stakeholders, and provide product feedback. The role also involves documenting scalable processes, building knowledge resources, automating data workflows, and improving customer data imports.

Qualify prioritized leads through phone calls, email, and social media; assess business fit and timing; schedule qualified meetings with Field Sales representatives; confirm and remind merchants; maintain accurate CRM records; follow up on promising leads; close unsuitable leads with clear reasons; and track the quality and commercial impact of generated opportunities.