Product Manager (AI)
Squiz
- Melbourne, VIC
- Permanent
- Full-time
- At least 5 years experience working on enterprise products as a lead developer, data scientist manager, or product manager.
- Experience defining and developing a new product or service.
- Demonstrated commitment to AI through your own initiatives through courses, books, or side projects.
- Basic statistics skills acquired through academic study (i.e. math, computer science, engineering, economics, physics) or comparable work experience.
- Understand of data sets, gap analysis, gen AI concepts
- Bachelor's degree in a relevant field, such as computer science, engineering, or business administration.
- Strong understanding of software development methodologies and processes.
- Excellent analytical and problem-solving skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Demonstrated ability to drive cross-functional teams and manage multiple projects simultaneously.
- Exceptional organisational skills and attention to detail.
- Knowledge of UX/UI principles and best practices is a plus.
- Lead the development and execution of product strategies, including market research, competitive analysis, and customer insights.
- Collaborate with cross-functional teams, including design, engineering, and marketing, to define product requirements and ensure timely delivery.
- Identify and prioritize product features based on customer needs and business goals.
- Corral and organize experts from business lines, data scientists, and engineers to create shared goals and specs for AI products.
- Perform gap analysis on existing data. Identify new data sources.
- Develop and manage training, validation, and test data sets.
- Help stakeholders and other product leaders productionize results of AI products.
- Develop AI product roadmaps and timelines.
- Conduct user testing and gather feedback to continually improve product usability and performance.
- Monitor and track key product metrics, utilizing data-driven insights to make informed decisions.
- Manage the product development lifecycle, from ideation to post-launch optimization.
- Stay up-to-date with industry trends and emerging technologies to drive innovation within the product portfolio.