
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
🕒 May 15
🗣️🇪🇸 Spanish Required
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51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
• Define and communicate the product vision for automation solutions, digital assistants, and AI agents. • Manage and prioritize the Product Backlog (focused on AI features, RPA, integrations, models, and pipelines). • Translate business needs into User Stories, acceptance criteria, and functional artifacts. • Lead grooming, refinement, and planning sessions with development teams, RPA architecture, and AI specialists. • Ensure traceability between requirements, deliverables, and business-impact KPIs. • Make data-driven decisions using product metrics, analytics, and user behavior. • Coordinate with areas such as Security, Data, and Legal to ensure regulatory compliance and ethical AI use. • Manage dependencies, risks, and the product roadmap. • Present functional demos to stakeholders, validating increments and prioritizations. • Facilitate alignment among multidisciplinary teams: developers, data scientists, ML engineers, QA, and business stakeholders.
• 2–4 years of experience as a Product Owner or equivalent roles (BA, PM, Delivery). • Strong knowledge of SDLC, agile methodologies, and Scrum/Kanban frameworks. • Experience managing products involving: Automation (RPA, BPA, integrations). • AI agents / Generative AI / NLP / model serving. • Functional understanding of APIs, microservices, and event-driven architectures. • General knowledge of MLOps, data pipelines, and model evaluation (desirable). • Ability for functional analysis and process modeling (BPMN is a plus).
• Competitive salary • Opportunities for professional development
Apply Now🕒 May 15
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