Experience: 3–6 years of total professional experience, with at least 2 years in product management or a similar role.
Minimum Education: Bachelor’s degree in engineering, business, computer science, or a related field. A Master’s degree is considered an advantage.
Responsibilities
Product Strategy & Vision
- Define the vision, strategy, and roadmap for AI products aligned with the organization’s short-term and long-term business objectives.
- Conduct market research and competitor analysis to identify differentiation opportunities for AI-powered products.
- Collaborate with C-level executives and senior stakeholders to communicate the business value of AI initiatives.
- Prioritize AI features and capabilities based on business impact, technical feasibility, and available resources.
- Define OKRs and success metrics for each AI product or feature being developed.
Product Development & Execution
- Develop comprehensive Product Requirement Documents (PRDs) for AI products, including acceptance criteria, model evaluation metrics, and edge case handling.
- Lead sprint planning and backlog grooming activities alongside engineering and data science teams within Agile frameworks.
- Manage the product backlog and ensure teams have sufficient context for effective execution.
- Act as the bridge between technical teams (ML Engineers, AI Engineers, Data Scientists) and business teams (sales, marketing, operations).
- Lead User Acceptance Testing (UAT) and validate AI outputs before production release.
AI-Specific Product Management
- Define evaluation frameworks to measure AI model quality, including accuracy, latency, fairness, and business KPIs.
- Manage trade-offs between model performance, computational cost, and user experience.
- Lead responsible AI review processes to ensure products are free from unintended bias and comply with ethical standards.
- Manage data labeling strategies and define data quality requirements for model training.
- Identify technical and business risks associated with AI deployment and develop mitigation plans.
Stakeholder Management & Go-to-Market
- Develop and present business cases for AI initiatives to senior stakeholders.
- Collaborate with sales and marketing teams to define positioning and messaging for AI products.
- Manage stakeholder expectations and communicate progress regularly with clarity and transparency.
- Establish systematic user feedback loops to drive continuous product improvement.
Qualifications & Requirements
Must Have
- Minimum of 2 years of experience as a Product Manager, Product Owner, or similar role with a proven track record of launched products.
- Strong AI literacy — able to understand machine learning concepts, LLMs, and AI pipelines without requiring hands-on coding.
- Ability to define and measure model evaluation metrics (precision, recall, latency, hallucination rate, etc.) as product KPIs.
- Experience working within Agile/Scrum environments and familiarity with tools such as Jira, Confluence, or Notion.
- Excellent communication and presentation skills — able to simplify technical concepts for non-technical audiences.
- Strong data-driven analytical skills — able to interpret dashboards, analyze A/B testing results, and make informed decisions.
- Experience managing product roadmaps and collaborating with cross-functional engineering teams.
Nice to Have / Preferred
- Hands-on experience building or launching products where AI/ML serves as a core feature.
- Technical background (previous experience as a software developer, data analyst, or ML practitioner) is considered a significant advantage.
- Understanding of responsible AI, AI ethics, and evolving AI regulations.
- Experience in relevant industries such as fintech, healthtech, edtech, e-commerce, or enterprise SaaS.
- Familiarity with AI tools for product management, including AI-assisted roadmapping, AI-driven user research, and analytics platforms.
- Product management certifications (CSPO, PMC, or equivalent) or AI product management courses from IBM, Google, or similar institutions.
BINAR Academy aims to unlock and channel human potential so we can help the world turn into a better place. One of the ways we strive to do that is to channel potential talents to impactful opportunities using our very own job connector, BINAR Job Connect.
BINAR Job Connect has connected up to 250 talents & candidates; whether it be young & aspirational fresh graduate to tech-savvy team leaders, individuals who decided to start from scratch, and junior engineers to skilled product managers to our experienced hiring partners. BINAR Job Connect provides various options of employment, as we intend that everyone processed by us can choose the best career track for them.
