Chief Product Officer

Company Description

Inflexis Technologies is dedicated to helping organizations operationalize artificial intelligence (AI) effectively and responsibly. Through our AI Execution-as-a-Service (AIXaaS) platform, Inflexis enables enterprises to deploy, orchestrate, secure and govern AI systems at scale. Our platform provides the infrastructure to move from AI experimentation to fully operational AI ecosystems that deliver measurable ROI and sustainable enterprise intelligence. Inflexis works with technology leaders and AI practitioners, leveraging our trademarked Continuum Enterprise AI Roadmap to achieve scalable automation, policy compliance, and economic impact. Located at the forefront of enterprise AI innovation, Inflexis is empowering organizations to unlock the full potential of AI.

Role Description

We are seeking a full-time Chief Product Officer to lead product innovation and strategy, driving the development and evolution of Inflexis's cutting-edge AI solutions. A fully remote position, this role involves setting the vision for product direction, managing the product roadmap, and collaborating with cross-functional teams to ensure successful execution. The Chief Product Officer will oversee product lifecycle management, align business needs with customer expectations, and provide leadership to product management and engineering teams to deliver best-in-class outcomes.

Qualifications

• Expertise in Product Strategy and Product Management for enterprise-focused solutions
• Strong Project Management skills to ensure timely delivery of products and initiatives
• Ability to lead and inspire high-performing teams, including Team Leadership and cross-functional Team Leadership

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• Proven experience in managing and scaling enterprise-level AI or technology-based products
• Exceptional communication and decision-making skills to drive alignment across diverse stakeholders
• Understanding of AI, data governance, and scalable business technologies
• Bachelor’s or Master’s degree in Business, Computer Science, Engineering, or related field preferred
• Experience in a leadership or executive role within the AI or tech industry is highly desirable