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About the position
The Senior/Principal AI Product Manager will be responsible for driving the implementation of AI across internal processes within the organization. Their main goal will be to enhance the efficiency and effectiveness of the internal team members by improving workflows using AI and ML. They will collaborate with various functions in the company, work closely with engineering and design, and act as an evangelist for AI. Additionally, they will provide consultation to product teams and have a deep understanding of AI technologies to identify optimal solutions.
- Develop and execute the strategic vision for internal AI/ML initiatives
- Create and maintain a comprehensive product roadmap for internal AI/ML projects
- Collaborate with cross-functional teams to define requirements and specifications
- Prioritize and manage a backlog of AI/ML opportunities
- Engage with internal and external stakeholders to gather feedback and ensure alignment
- Conduct competitive analysis and market research
- Collaborate with product designers to ensure seamless user experiences
- Define and track key performance indicators (KPIs) for AI/ML projects
- Coordinate the release and launch of AI/ML projects
- Evangelize the value proposition of AI/ML internally and externally
- Identify and communicate potential risks and challenges associated with AI/ML
- Stay updated with relevant regulations and guidelines
- Stay abreast of advancements in AI/ML technologies and methodologies
- Bachelor's or master's degree (or equivalent work experience) in a relevant field such as computer science, data science, engineering, or a related discipline. A higher degree or certification in AI/ML is a plus.
- Extensive professional experience in product management, specifically in AI/ML or related areas. Ideally, 5+ years of experience in product management roles, with a focus on AI/ML products and/or services.
- Strong understanding of artificial intelligence and machine learning concepts and technologies. Familiarity with popular AI/ML frameworks and tools, and ability to apply them to product development and decision-making.
- Prior experience working in a SaaS (Software as a Service) company is highly desirable. Understanding the SaaS business model, customer needs, and market dynamics.
- Demonstrated expertise in product management methodologies and practices, including market research, product strategy development, roadmap planning, feature prioritization, and agile product development.
- Proficiency in technical aspects related to AI/ML, such as data engineering, data science, cloud computing, and software development. Ability to work closely with engineering teams and understand technical complexities.
- Strong leadership skills with experience in leading cross-functional teams or projects, and driving product initiatives. Proven ability to collaborate effectively.
- Strong understanding of artificial intelligence and machine learning concepts and technologies
- Familiarity with popular AI/ML frameworks and tools
- Prior experience working in a SaaS (Software as a Service) company
- Demonstrated expertise in product management methodologies and practices
- Proficiency in technical aspects related to AI/ML, such as data engineering, data science, cloud computing, and software development
- Strong leadership skills with experience in leading cross-functional teams or projects
- Ability to think strategically and align AI/ML product vision with overall business goals
- Strong analytical, business, financial, and problem-solving skills
- Excellent written and verbal communication skills
- Deep understanding of customer needs and the ability to translate them into actionable product requirements
- Familiarity with the industry landscape, emerging trends, and competitive landscape in the AI/ML space
- Willingness to learn and adapt in a rapidly evolving AI/ML landscape
- Ability to stay highly organized and effectively manage multiple high-priority initiatives across multiple teams
- Track record of frequent delivery of high-quality AI/ML product features or projects
- Deep knowledge of and fascination with current AI landscape and developments
- Highly collaborative and great at motivating others
- Ability to be an evangelist and inspire people to think in new ways
- Equal opportunity employer committed to diversity and inclusion
Dev & Engineering
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