Negotiable
Outside
Remote
USA
Summary: The role of AI-Group Product Manager requires over 5 years of experience in product management, particularly in technology products, with a focus on AI and ML technologies. The position demands strong leadership skills to manage cross-functional teams and effectively communicate complex concepts to diverse audiences. A data-driven approach to decision-making and familiarity with agile methodologies are essential for success in this fast-paced environment.
Key Responsibilities:
- Lead the launch and management of technology products in a fast-paced environment.
- Work with AI and ML technologies, understanding their applications and limitations.
- Manage cross-functional teams and influence stakeholders at all levels.
- Communicate complex technical concepts to technical and non-technical audiences.
- Utilize analytical and problem-solving skills for data-driven decision-making.
- Implement agile product development methodologies and tools.
- Engage with enterprise software, SaaS solutions, and cloud computing platforms.
- Apply user experience (UX) principles with a customer-centric approach.
Key Skills:
- 5+ years of experience in product management.
- Experience with AI and ML technologies.
- Understanding of NLP, machine learning, deep learning, and generative AI.
- Ability to lead cross-functional teams.
- Exceptional communication and presentation skills.
- Strong analytical and problem-solving skills.
- Experience with agile methodologies (e.g., Scrum, Kanban).
- Familiarity with enterprise software and cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
- Understanding of UX principles.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
- 5+ years of experience in product management, with a demonstrated track record of successfully launching and managing technology products in a fast-paced environment.
- Signicant experience working with Articial Intelligence (AI) and Machine Learning (ML) technologies, with a strong understanding of their applications and limitations.
- Deep understanding of the AI/ML landscape, including natural language processing (NLP), machine learning, deep learning, and generative AI.
- Proven ability to lead cross-functional teams and inuence stakeholders at all levels of the organization.
- Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Strong analytical and problem-solving skills, with a data-driven approach to decision-making and a focus on delivering measurable results.
- Experience with agile product development methodologies and tools (e.g., Scrum, Kanban).
- Familiarity with enterprise software, SaaS solutions, and cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform).
- Strong understanding of user experience (UX) principles and a customer-centric approach to product development.