Compunnel, Inc.
We are seeking a seasoned and motivated Technical Product Owner to support the development of foundational capabilities for an enterprise AI platform.
This role involves close collaboration with product managers, engineering teams, and cross-functional stakeholders to deliver scalable, secure, and high-performing platform features such as APIs, LLM hub components, data connectors, and cloud infrastructure enhancements.
Key Responsibilities
Collaborate with the Product Manager to execute the product vision and roadmap for core AI/ML platform capabilities.
Translate product requirements into actionable features, user stories, and acceptance criteria for engineering teams.
Focus on platform components including APIs, LLM hub integration, data connectors, and cloud infrastructure.
Maintain and prioritize the product backlog to ensure timely delivery of features.
Partner with engineering, data science, and DevOps teams to support agile ceremonies and sprint planning.
Communicate status updates, executive presentations, and stakeholder communications clearly and effectively.
Gather and refine requirements from stakeholders across business units, engineering, security, and legal teams.
Monitor platform usage metrics and feature adoption to inform future development.
Stay current with emerging technologies and best practices in AI/ML platforms, Generative AI, and cloud infrastructure.
Required Qualifications
Minimum 5 years of experience in technology product development, business analysis, or equivalent. At least 2 years of experience working with AI/ML platforms, APIs, or cloud infrastructure (GCP, Azure, or AWS). Familiarity with the AI/ML lifecycle including data ingestion, model training, deployment, and monitoring. Experience working in Agile environments and using tools such as Jira, Confluence, and Mural. Preferred Qualifications
Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related field. Experience with MLOps or LLMOps tools and practices. Exposure to Generative AI technologies (e.g., LLMs, diffusion models). Understanding of platform security, compliance, and cloud optimization. Strong communication and collaboration skills. Ability to work independently and manage multiple priorities.
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Minimum 5 years of experience in technology product development, business analysis, or equivalent. At least 2 years of experience working with AI/ML platforms, APIs, or cloud infrastructure (GCP, Azure, or AWS). Familiarity with the AI/ML lifecycle including data ingestion, model training, deployment, and monitoring. Experience working in Agile environments and using tools such as Jira, Confluence, and Mural. Preferred Qualifications
Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related field. Experience with MLOps or LLMOps tools and practices. Exposure to Generative AI technologies (e.g., LLMs, diffusion models). Understanding of platform security, compliance, and cloud optimization. Strong communication and collaboration skills. Ability to work independently and manage multiple priorities.
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