Senior Product Manager (AI Products)
- Petaling Jaya, Selangor
- Permanent
- Full-time
- Product Strategy & Vision:
- Define and articulate a clear, compelling product vision and strategy for the entire AI product portfolio.
- Develop and maintain a prioritized product roadmap that aligns with company goals, market opportunities, and technical feasibility.
- Conduct continuous market research, competitive analysis, and customer discovery to identify new opportunities and ensure product-market fit.
- Execution & Delivery:
- Translate product strategy into detailed requirements, user stories, and product specifications (PRDs).
- Work hand-in-hand with Agile development teams, including data scientists and ML engineers, to ensure timely and high-quality delivery.
- Define, monitor, and analyze key product metrics to measure success, and use this data to inform your roadmap and backlog prioritization.
- Manage the entire product lifecycle from concept and ideation through to launch, iteration, and end-of-life.
- Collaboration & Stakeholder Management:
- Act as the primary liaison between technical teams (Data Science, Engineering, Research) and business stakeholders (Sales, Marketing, Leadership).
- Communicate complex technical concepts and product decisions clearly and persuasively to a wide range of audiences.
- Champion a culture of data-driven decision-making and collaboration across the organization.
- Data & AI Expertise:
- Partner with the Data Science and Business Intelligence teams to define data requirements, validation processes, and success criteria for machine learning models.
- Develop a deep understanding of our data architecture, model lifecycle, and AI capabilities to guide product decisions.
- Ensure robust data quality, governance, and ethics are embedded into our product development processes.
- 5+ years of product management experience, with at least 3 years focused specifically on data, AI/ML, or platform products.
- Proven track record of managing a portfolio of products and delivering successful outcomes in a fast-paced, tech-driven environment.
- Strong technical acumen and a deep understanding of data science concepts, machine learning model lifecycles, APIs, and data architecture. You should be comfortable discussing these topics in depth with engineers and data scientists.
- Demonstrated experience in the full product development lifecycle, from discovery and validation to launch and go-to-market.
- Excellent analytical and problem-solving skills, with a talent for making data-informed decisions.
- Exceptional communication and interpersonal skills, with the ability to influence and align cross-functional teams and senior leadership.
- Bachelor's degree in Computer Science, Engineering, Business, or a related field.
- Experience working in a B2B SaaS environment is an advantage.
- Proficiency with SQL for data analysis and familiarity with data visualization tools (e.g., Tableau, Looker) is an advantage.