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Location
Remote (likely United States)
Employment
Full-Time

First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
Softgic is a Colombian software company that drives the digital and cognitive transformation of its clients through custom software and technology solutions. It provides remote engineering teams, including data engineers, product owners, Java developers and IT support specialists, to SaaS and enterprise clients. The company is based in Colombia.
This is a remote position.Responsabilidades
  • Definir y comunicar la visión del producto para soluciones de automatización, asistentes digitales y agentes de IA.
  • Gestionar y priorizar el Product Backlog (enfocado en features de IA, RPA, integraciones, modelos y pipelines).
  • Traducir necesidades del negocio en US, criterios de aceptación y artefactos funcionales.
  • Liderar sesiones de grooming, refinamiento y planificación con equipos de desarrollo, arquitectura RPA y especialistas en IA.
  • Asegurar trazabilidad entre requerimientos, entregables y KPIs de impacto del negocio.
  • Tomar decisiones basadas en datos, utilizando métricas del producto, analítica y comportamiento de usuarios.
  • Coordinar con áreas como Seguridad, Datos y Legal para asegurar cumplimiento normativo y ética en el uso de IA.
  • Gestionar dependencias, riesgos y roadmap del producto.
  • Presentar demos funcionales a stakeholders, validando incrementos y priorizaciones.
  • Facilitar alineación entre equipos multidisciplinarios: desarrolladores, científicos de datos, ingenieros de ML, QA, negocio.

RequirementsExperiencia 2–4 años como Product Owner o roles equivalentes (BA, PM, Delivery).Participación en proyectos de IA, automatización o productos digitales complejos." Requisitos técnicos
  • Conocimiento sólido de SDLC, metodologías ágiles y frameworks Scrum/Kanban.
  • Experiencia gestionando productos que involucren:
  • Automatización (RPA, BPA, integraciones).
  • Agentes de IA / IA generativa / NLP / model serving.
  • Comprensión funcional de APIs, microservicios y arquitecturas orientadas a eventos.
  • Conocimiento general de MLOps, data pipelines y evaluación de modelos (deseable).
  • Capacidad para análisis funcional y modelado de procesos (BPMN es un plus)."

Originally posted on Himalayas

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