Apptad- Technical Product Owner

• Support Product Vision and Strategy Collaborate with the Product Manager to understand and execute the product vision and roadmap for core AI/ML platform capabilities.
• Drive Platform Capability Execution Translate product requirements into actionable features and user stories and acceptance criteria for engineering teams. Focus areas include APIs, LLM Hub integration, data connectors, and cloud infrastructure.
• Backlog Management and Planning Maintain and prioritize the product backlog. Ensure timely delivery of features by working closely with engineering, data science, and DevOps teams.
• Cross-functional Collaboration Partner with cross-functional teams to ensure alignment on goals, timelines, and deliverables. Facilitate agile ceremonies and support sprint planning and reviews.
• Stakeholder Communication Author clear and concise status updates, executive presentations, and stakeholder communications. Manage expectations and escalate risks proactively.
• Stakeholder Engagement Gather and refine requirements from stakeholders across business units, data scientists, engineering, security, and legal teams. Ensure feedback is incorporated into product iterations.
• Monitor Performance and Feedback Track feature adoption and platform usage metrics. Use insights to recommend improvements and inform future development.
• Stay Current with Industry Trends Maintain awareness of emerging technologies and best practices in AI/ML platforms, Generative AI and cloud infrastructure.

Required Qualifications:

• 5+ years of experience in technology product development, business analysis, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of experience working with AI/ML platforms, APIs, or cloud infrastructure (GCP, Azure, or AWS)
• Experience with the AI/ML lifecycle, including data ingestion, model training, deployment, and monitoring
• Experience working in Agile environments and using collaboration tools like Jira, Confluence, and Mural

Desired 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

Job Expectations:

• This position offers a hybrid work schedule