Top Tech Jobs & Startup Jobs

Own Joom’s international CRM strategy and execution, driving customer engagement, retention, and revenue through lifecycle, product, and behavioral marketing. Lead the weekly sales calendar, oversee CRM architecture and analytics, balance commercial goals with customer trust, and manage a high-performing team while contributing hands-on to campaigns and optimization.

Lead the overall product strategy and development of Joom Marketplace. Responsibilities include setting the product roadmap, prioritizing features, conducting market research, partnering with engineering to deliver improvements, and managing a world-class product and UX/UI team. The role requires strategic and analytical leadership, data-driven decision-making, stakeholder management, and strong English proficiency. Experience with B2C services and e-commerce is valued.

Lead and develop the JoomPro Brazil sales organization, managing sales managers and driving achievement of GMV targets. Own go-to-market strategy, sales processes, reporting, KPI tracking, and accountability systems. Collaborate with Marketing and Category Management while promoting data- and automation-enabled sales management. The role requires fluent English and Portuguese, hands-on leadership, and experience building scalable sales operations, preferably in e-commerce, logistics, freight, or retail.

Lead the strategy, development, and scaling of JoomAI, an AI-powered operating system for e-commerce merchants. Responsibilities include defining the product roadmap, building integrations with ERP systems and commerce platforms, identifying seller use cases, designing AI agents and automated workflows, and leading a product and engineering team. The role requires strong product leadership, technical fluency, hands-on experience with LLMs and AI agents, data-driven decision-making, and startup or high-growth technology experience.

Own and grow the Electronics and/or Automotive categories by developing assortments, identifying market gaps, analyzing pricing and product completeness, and managing assortment matrices and product plans. Collaborate with procurement on merchant development and with marketing on promotions and launches. Use data-driven analysis, AI tools, and potentially SQL and coding to improve category performance.

Own end-to-end discovery and delivery for an AI assistant serving Brazilian e-commerce sellers. Conduct Jobs to Be Done research, launch agent-based services across commerce workflows, build prototypes with AI tools and UI components, analyze product performance, and improve retention and daily active usage. The role requires regular travel to Brazil for customer meetings and industry events and is based in or relocates to Lisbon.

Analyze marketing channels, KPIs, attribution, and experiments to improve advertising efficiency and marketing investment decisions. Build dashboards, ETL pipelines, monitoring and alerting systems, and payback prediction models. Generate insights and hypotheses across acquisition, product feeds, creatives, channel mix, and targeting while applying statistical methods and solving complex problems with incomplete data.

Owns product data quality, analytics, and marketplace research for an AI analytics platform. The role measures feature impact on conversion and retention, analyzes user behavior, identifies growth opportunities, supports prioritization, builds self-service analytics capabilities, automates reporting, and develops market insights for corporate clients and journalists.

Own retention and product growth across JoomPulse’s SaaS platform, Chrome Extension, MCP, Joom.ai, and mobile app. Develop agentic workflows, improve onboarding, translate top-seller insights into product decisions and educational content, establish analytics dashboards, support subscription tiers, and drive ambiguous initiatives end to end. The role requires strong numerical analysis, hands-on AI tool usage, user curiosity, ownership, and fluent English.

Own full-cycle recruitment for technical and commercial roles, including sourcing passive candidates, building talent pipelines, advising hiring managers, experimenting with AI-enabled hiring workflows, and negotiating offers. The role covers difficult-to-fill positions such as backend and machine learning engineering, product, marketing, and sales roles, while improving hiring processes through experimentation and data-driven evaluation.