Top Remote Jobs in Lisbon

Own client automation solutions from scoping through production. Responsibilities include designing automation flows, integrating APIs and webhooks, writing Python actions, tuning and evaluating LLM components, troubleshooting cross-system issues, presenting technical decisions, managing multiple client projects, reporting outcomes, and informing product improvements.

Close inbound deals with technical customers, manage proofs of concept, collaborate with solutions engineers, support customers in Slack, answer technical questions honestly, and improve internal sales systems. The role requires technical literacy, systematic pipeline management, strong written communication, urgency, independence, experimentation, and customer-focused judgment.

Build and operate scalable AI backend systems, including inference pipelines, orchestration workflows, distributed microservices, caching, batching, and response streaming. Own observability, performance monitoring, alerting, incident response, and API reliability. Collaborate with client and machine learning engineers to deliver low-latency, high-throughput AI features using commercial APIs and self-hosted models.

Design, build, and scale production AI agents across EveryWatch. Own the agent roadmap, architecture, shared tools, memory, state, observability, evaluation, and cost controls. Harden WatchChat, develop RAG and tool-calling systems, establish measurable quality standards, and ship solutions directly in Python. Collaborate with sales, product, data, and engineering teams to identify high-impact use cases and take agent concepts from discovery through production.

Provide technical leadership for Akuity’s SaaS platform by designing, building, testing, and improving scalable developer and infrastructure tools. Develop server-side services in Go, guide architecture for distributed systems, mentor engineers, promote best practices, and collaborate across engineering, design, and product teams. The role focuses on Kubernetes-based platforms, developer experience, scalability, and reliable infrastructure operations.

Own product strategy, roadmap prioritization, discovery, delivery, metrics, and automation quality. Lead engineering organization design, pod structure, performance management, and team decisions. Serve as the bridge between engineering, Shared Services, Customer Success, and the broader business. The role requires hands-on product and engineering leadership, production coding experience, short-term rental industry expertise, and experience shipping AI or automation products.

Own factory-based product development execution for Bath products, coordinating timelines, samples, testing, approvals, documentation, vendor handoffs, and launch readiness. Partner cross-functionally with merchandising, sourcing, fit, technical, materials, QA, creative, and vendors to accelerate development cycles, resolve issues, maintain accurate systems, and achieve quality, cost, and delivery targets. The role requires ongoing travel to factories, including up to four days per week on-site.

Designs and deploys scalable, highly available voice and telecom solutions across data centers and public cloud. Responsibilities include incident analysis, platform resilience, automation, deployment planning, documentation, operational support, and collaboration with Cloud Operations, Product, and Engineering teams. The role also mentors global Voice Engineers and supports reliable customer-facing service delivery.

Own the full enterprise sales cycle across the UK and Europe, from account targeting and outbound pipeline generation through discovery, solution design, negotiation, and closing. Build C-level relationships, understand complex delivery operations, collaborate with product and engineering on tailored solutions, manage accurate CRM forecasts, and provide market feedback. The role requires quota ownership, complex enterprise deal experience, and regular travel across the region.

Support PlanetScale customers and developers by troubleshooting production applications, databases, infrastructure, connectivity, queries, schema changes, and application behavior. Resolve issues across tickets, Slack, and public channels; create documentation and playbooks; identify recurring product friction; and collaborate with Engineering on improvements. The role requires strong technical debugging, SQL and database knowledge, programming literacy, customer communication, empathy, organization, and independent cross-functional execution.