Role Description Responsável pela gestão do backlog, definição de prioridades e acompanhamento da entrega, garantindo alinhamento entre negócio e tecnologia. - Criar e gerenciar backlog (user stories) - Priorizar demandas com base em valor de negócio - Acompanhar entregas junto ao time de desenvolvimento - Interagir com stakeholders - Garantir clareza de escopo e objetivos Qualifications - Pelo menos 5 anos de experiência como Product Owner - Vivência com metodologias ágeis (Scrum/Kanban) - Capacidade de traduzir negócio em requisitos - Experiência com gestão de backlog - Proficiência em uso de IA para suas atividades Requirements - Experiência com produtos digitais complexos - Conhecimento em métricas de produto - Vivência com times de tecnologia e IA Benefits - Oportunidades 100% remotas 👨🏻‍💻 - Vale home office 💻 - Feedbacks periódicos 💬 - Programa de indicações 🏅 - Acolhimento psicológico 🙋🏻‍♂️ - Ginástica laboral 🏋️ - Academia de conhecimento 🧠 - Convênio com escola de inglês 🔤 - Reuniões mensais de transparência 🔃 - Happy hour online 🍻 - Kit de boas-vindas 🎁

• Leadership in Discovery: Lead ongoing product discovery processes to identify users' latent pains, using qualitative and quantitative methods to validate hypotheses before development. • Roadmap Vision: Define and maintain the tribe's medium- and long-term product strategy, ensuring alignment with the company's OKRs. • Strategic Prioritization: Use frameworks to manage the backlog, balancing innovation, technical debt, and the needs of stakeholders and customers. • Communication: Serve as the link between the business, engineering, and other areas, translating technical complexities into clear requirements and communicating assertively. • Value Management: Ensure backlog items reflect strategic decisions and deliver value. • Product Refinement: Break down Epics and User Stories focused on outcomes, defining strict acceptance criteria that guarantee delivery quality. • Collaboration with Engineering: Support the development team across all cadences, removing impediments and ensuring smooth workflow. • Validation and Sign-off: Functionally validate deliverables, ensuring the end-user experience matches what was validated during Discovery. • Results Analysis: Monitor the performance of launched features using data, iterating the product based on real behavior and success metrics.

• Own the "what" and "why" behind product building • Define problems worth solving and set priorities • Ensure features ship with clear success metrics • Collaborate across engineering, design, and stakeholders • Align teams around shared plans without relying on authority

• Technical Roadmap Ownership: Set the roadmap for your product surface and translate strategy into specs engineering can execute against. We'll align scope to your background — a hyperscaler KaaS PM might own the vCluster platform, a bare metal or GPU cloud PM might own vMetal, a multi-tenancy specialist might own platform + vNode. • Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory. • Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do. • Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. The next zero-to-one comes from these conversations. • Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands. • Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.