✨ About The Role
- The Product Manager will serve as the voice of the customer, shaping product direction based on their needs and pain points.
- This role involves defining and communicating a clear product vision aligned with Latent AI’s mission and business goals.
- The candidate will manage the product lifecycle from ideation to launch and ongoing iterations.
- Key performance metrics (KPIs) will need to be defined and tracked to measure success and drive continuous improvement.
- The Product Manager will act as the central point of coordination among engineering, design, marketing, and sales teams.
- Data-driven decision-making will be essential, utilizing market research and user feedback to inform product strategies.
- The role requires staying agile in the rapidly evolving edge AI landscape and managing trade-offs effectively.
- Clear articulation of the product value proposition to both internal stakeholders and external customers is a key responsibility.
- The candidate will craft compelling narratives to align teams and generate excitement around product initiatives
⚡ Requirements
- The ideal candidate will have over 5 years of product management experience, particularly in AI, ML, IoT, or deep tech industries.
- A proven track record of successfully launching software or hardware products in fast-paced environments is essential.
- Strong technical expertise in AI/ML concepts and edge computing architectures is required to bridge technical and business needs.
- Exceptional leadership skills are necessary to inspire and align cross-functional teams effectively.
- The candidate should possess excellent verbal and written communication skills, with the ability to simplify complex topics for diverse audiences.
- A customer-obsessed mindset with a passion for solving challenging problems will be crucial for success in this role.
- The candidate should be an analytical thinker with a data-driven approach to prioritization and decision-making.
- Comfort in navigating ambiguity and adapting to change in a dynamic startup environment is important.
- A bachelor's degree in computer science, engineering, or a related field is required, with an MBA or advanced degree being a plus.