Product Lead / Product Owner

🕒 July 9

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 24%

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Logo of Softgic

Softgic

51 - 200 employees

Founded 2011

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Softgic is a digital and cognitive transformation services company that provides custom software development, automation, cloud and cybersecurity, and emerging-technology solutions to business clients. With more than a decade of experience, Softgic offers specialized “labs” for Solutions Design (UX, Agile, process design), Build (coding, low-code, mobile, DevOps), Metaverse (VR/AR, blockchain, NFTs, virtual economy), Data (Big Data, BI, AI/ML), Automation (RPA, BPM) and Go Live (cloud, IT operations, cybersecurity). The firm emphasizes tailored, enterprise-focused services, dedicated teams, and project-based engagements to help clients modernize infrastructure, streamline processes, and adopt advanced technologies.

📋 Description

• Own and manage the Product Backlog for each phase of the project • Write clear, measurable, and testable acceptance criteria • Prioritize features and make scope decisions for successful MVP delivery • Maintain a decision log documenting 'Manual Now vs. Automate Later' trade-offs • Define objective quality metrics for AI agent behavior with the Tech Lead and Agent Quality/Evals team • Enforce scope discipline and prevent scope creep • Coordinate working sessions with SMEs, stakeholders, and design partners • Manage executive expectations and facilitate alignment across Product, Engineering, and business teams • Translate PRDs and PDDs into user stories ready for development • Identify dependencies, prioritize work, and organize incremental releases

🎯 Requirements

• 5+ years of experience as a Product Owner, Product Manager, or similar role delivering enterprise B2B technology products • Proven experience managing product backlogs in Agile environments, including Scrum and/or Kanban • Ability to write clear, concise, testable user stories and acceptance criteria • Experience working closely with engineering teams and technical platform products • Knowledge of or hands-on experience with Artificial Intelligence products, LLMs, or AI agent-based systems • Strong prioritization, decision-making, and product management skills • Proven experience managing multiple stakeholders and aligning executive expectations • Advanced conversational English (B2 or higher)

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