AI Product Manager (Remote)

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Requirements:

• Bachelor’s or Master’s degree in a related field such as Computer Science, Business Administration, Engineering, or Data Science.
• Advanced with ChatGPT/Claude/Perplexity/other similar tools.
• Proven experience as a Product Manager or Product Owner in technology-driven projects, preferably within AI, Data Science, or Machine Learning environments.
• Strong understanding of AI concepts and lifecycle management, including data pipelines, model training, and deployment.
• Experience with agile methodologies such as Scrum, with a proven track record of managing sprints and delivering successful AI projects.
• Excellent stakeholder management skills, with the ability to engage with cross-functional teams, gather requirements, and prioritize tasks based on business impact.
• Ability to manage product backlogs, ensuring that features and tasks are clearly defined, well-scoped, and aligned with business goals.
• Strong communication skills, with the ability to translate technical concepts into clear business insights for non-technical stakeholders.
• Experience in monitoring and reporting on the business impact of AI solutions, ensuring that AI products deliver measurable value.
• Problem-solving mindset and proactive approach to managing risks and ensuring project success.
• Familiarity with AI infrastructure tools (e.g., Google Cloud, Vertex AI) and MLOps frameworks is a plus.
• Ability to coordinate cross-functional teams and foster collaboration between technical and business teams to ensure successful AI deployments.
• Proactive and results-driven, with a commitment to continuous learning and improvement.

Responsibilities:

• Define and drive the AI product strategy, ensuring that all AI initiatives are aligned with business goals and deliver measurable value.
• Translate business needs into clear technical requirements for the AI engineering and data teams, ensuring that AI models address real business problems.
• Manage and prioritize the AI product backlog, ensuring that features and tasks are well-defined, properly scoped, and prioritized based on business impact.
• Work closely with the Head of AI to set project priorities, define success metrics, and ensure that AI initiatives contribute to business growth, and cost optimization.
• Act as the primary point of contact for stakeholders (internal and external), ensuring their needs and feedback are incorporated into the AI product roadmap.
• Coordinate cross-functional teams, including AI engineers, data architects, DevOps, and business stakeholders, to ensure seamless execution of AI projects.
• Ensure the successful deployment of AI solutions, managing the end-to-end lifecycle from concept to production.
• Monitor and measure the business impact of AI solutions, ensuring they deliver on KPIs and continue to generate value for the company.
• Identify and mitigate risks associated with AI product development, ensuring that projects remain on track and meet business expectations.
• Ensure effective communication across all levels of the organization, translating complex technical concepts into clear business insights for non-technical stakeholders.
• Lead sprint planning, reviews, and retrospectives, ensuring that Scrum practices are properly followed and team alignment is maintained throughout the project lifecycle.
• Stay updated on AI trends and emerging technologies, identifying new opportunities to improve processes, products, and business outcomes.