Professor of Digital Product Management, AI

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Instruct live, remote classes and provide mentorship to students, addressing inquiries and offering constructive feedback on their assignments and projects.

• Design, organize, and deliver courses focused on management and strategy for digital products influenced by artificial intelligence, encompassing AI-native products, the integration of AI into existing products, and process automation.

• Comprehend and implement artificial intelligence throughout the product lifecycle, including establishing infrastructure, selecting AI technologies, evaluating technical feasibility, performance metrics, and the strategic impacts on business.

• Formulate and direct data- and AI-driven product strategies, articulating vision, hypotheses, metrics, roadmaps, and prioritization criteria amidst uncertainty and ongoing learning.

• Utilize process automation and strategically leverage AI to enhance operations, facilitate decision-making, lower costs, scale effectively, and boost organizational efficiency.

• Act as a liaison between technical teams and business sectors, translating intricate concepts of AI, machine learning, and automation into strategic decisions that are accessible to managers and stakeholders.

• Facilitate hands-on activities, case studies, and applied projects, mentoring students in the design, development, and management of digital products utilizing AI.

⛳️ Requirements

• Lato Sensu postgraduate degree (specialization or MBA) or Stricto Sensu degree, either completed or revalidated in Brazil.

• Master's degree or PhD.

• Proven experience with the skills outlined above in projects and prestigious companies.

• Background as an instructor or in similar roles, including lectures, webinars, internal training sessions, and comparable events.

🏝️ Benefits

• Competitive salary package.

• Opportunities for professional development and continuous learning.

• Flexible working hours and a supportive remote work environment.