Top Remote Jobs in Lisbon

Build and scale ML-powered search and RAG capabilities at Zendesk scale. Collaborate with product, ML scientists, and engineers to design, deploy, and maintain reliable production services, improve relevance and ranking, optimize indexing pipelines, and mentor teammates while applying experiments and analysis to drive decisions.

Develop internal data services, including a feature store, scalable ELT/ETL pipelines, and data processing and storage integrations. Design high-load event-driven systems and streaming pipelines using Python, SQL, cloud platforms, databases, orchestration tools, APIs, and messaging technologies. Perform operational tasks and contribute to robust system design within a fully remote fintech engineering team.

Design and build primarily back-end TypeScript services for high-volume subscription, billing, replenishment, and cross-sell systems. Develop serverless AWS Lambda applications backed by MySQL and Prisma, contribute to React front ends, integrate with Shopify and Klaviyo, and own features from conception through production operation. Participate in architecture, observability, reliability, on-call support, AI-assisted development, and technical documentation.

Perform multilingual legal data collection, evaluation, and annotation for international business contracts. Analyze clauses, obligations, and terms; participate in onboarding, calibration sessions, and quality reviews; and collaborate within secure client environments to support AI training and evaluation for contract management platforms. The role requires legal or contract expertise, English and Portuguese fluency, and strong contract interpretation skills. Data annotation or machine learning evaluation experience is preferred.

Conduct exploratory and business data analysis, build and maintain dashboards, translate stakeholder needs into data work, support experiments and investigations, and document queries and standards. Present actionable findings clearly to nontechnical colleagues while ensuring data accuracy and reliability. The role includes working with SQL and data visualization, with opportunities to use Metabase, dbt, Python, or R.

Configure, support, and enhance Workday and related HRIS applications across business processes, security, reporting, data management, releases, and integrations. Troubleshoot technical and functional issues, maintain data integrity, develop reports, coordinate testing and vendors, and translate stakeholder requirements into scalable system solutions. The role is fully remote in Spain or Portugal and supports international HR teams.

Partners with Customer Success Managers to improve customer adoption, optimization, and value realization using Unit4 Financials. Analyzes usage and finance processes, recommends best practices, supports outcome-based enhancement services, and advises customers on financial reporting, governance, compliance, and digital transformation. Collaborates with Product, Engineering, Consulting, Support, and Customer Experience teams to remove blockers and communicate customer feedback.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Lead a 3–5-person B2B telesales hunting team in Lisbon, driving new corporate-client acquisition and onboarding. Develop outbound sales strategies, monitor KPIs, manage pipelines, coach agents, analyze market and competitor trends, and improve telephone sales performance. Use Genesys, Salesforce, AWS, and AI tools to increase productivity and visibility. The role also contributes to strategic decisions and expansion plans while requiring fluent French and English.

Own the full inbound sales cycle for a global manufacturing SaaS company, consulting with creators and brands, handling objections, closing initial deals, and building repeat-account relationships. Manage a high-volume Pipedrive pipeline, maintain accurate CRM records, coordinate with lead generation, production, and design teams, and oversee order tracking and post-sale follow-ups. The role requires strong communication, consultative selling, rapid adaptation, and disciplined remote execution during US business hours.