Product Owner responsible for AI Trade Planning and automation in digital ventures. Collaborating with teams to build intelligent tools for e-commerce operations in Bangkok, Thailand.
Responsibilities
**Key Responsibilities**
**Product Strategy & Vision**
Define the roadmap for AI/ML-based trade planning and campaign automation tools
Translate campaign team workflows into scalable, data-driven systems for SKU and collection selection
Identify and prioritize opportunities for automation and personalization using machine learning
**Collaboration & Execution**
Partner with data science, engineering, and campaign teams to design, test, and deploy AI-based solutions for trade planning.
Work with AI/ML teams to conceptualize models that optimize product inclusion, campaign timing, and personalization.
Collaborate with marketing, merchandising, and analytics stakeholders to align system outputs with business goals.
**Product Design & Delivery**
Define product requirements, user stories, and acceptance criteria for automation tools.
Oversee prototype development, pilot programs, and scaling of ML-driven trade planning systems.
Evaluate and iterate on product performance using measurable success metrics (e.g., revenue uplift, manual effort reduction, personalization accuracy).
**Data & Insights**
Leverage historical campaign data, user behavior, and product performance to inform model design and prioritization.
Analyze results and create data-driven business presentations for leadership review.
Serve as the business liaison for AI/ML initiatives - interpreting model outcomes for non-technical stakeholders.
**Change Management**
Drive adoption of AI-led trade planning among campaign teams through clear communication, documentation, and training.
Work cross-functionally to ensure smooth integration of AI solutions into existing workflows and planning cycles.
Requirements
**Education:**
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or similar quantitative discipline.
**Experience:**
3 - 6 years of experience in Product Management, Data Product Management, or E-commerce Operations
Prior experience working on AI/ML-enabled products, personalization, or recommendation systems is highly desirable.
Strong understanding of:
Campaign planning, merchandising, or trade promotions in e-commerce
ML concepts such as clustering, classification, ranking, and recommendation engines (familiarity, not coding-level expertise)
Data analytics tools (SQL, Mixpanel, Power BI, or equivalent)
**Skills:**
Ability to translate complex technical ideas into practical business applications.
Strong analytical and quantitative problem-solving skills.
Proficiency in preparing structured, high-quality business presentations.
Excellent stakeholder management and communication abilities.
Comfortable working with data scientists, engineers, and marketing stakeholders simultaneously.
**Preferred Attributes**
Prior experience in retail or e-commerce product management.
Exposure to campaign automation, personalization engines, or AI recommendation systems.
Demonstrated ability to deliver products that reduced manual workflows through automation.
Curiosity and aptitude for learning new AI tools and technologies.
Benefits
**Best Culture**
Clear focus.
Diverse Workplace (Our members are from around the world!)
Product Manager responsible for prioritizing high - value features for client satisfaction at Theodo GovTech. Collaborating with clients and teams to deliver effective digital solutions for public administration.
Product Manager at Theodo FinTech aiding team in delivering high - quality digital finance solutions. Collaborating with clients to ensure product alignment with market needs, leveraging agile methodologies.
Associate Product Manager at Theodo maximizing product value through quality feature delivery. Collaborating with clients to ensure satisfaction and prioritizing product functionalities.
Product Manager creating engaging casual games for millions at Easybrain. Leading product direction, collaborating with teams, and driving game development.
Develop and execute commercial strategies for personal care, driving sales, profitability and market share growth. Negotiate with suppliers and manage business models for omnichannel success.
Product Owner responsible for the end - to - end adoption of enterprise data products. Collaborating with stakeholders to ensure data solutions are scalable and aligned with business priorities.
Product Owner responsible for end‑to‑end ownership, delivery, and adoption of enterprise data products. Collaborating with business and technical teams to ensure product success and alignment.
Senior Product Manager at Pinterest focusing on enforcement systems and automation strategies. Driving product roadmap and cross - functional initiatives in trust and safety.
Director of Product overseeing Trader Engagement vertical to enhance user retention and growth at NinjaTrader. Collaborating across teams to drive innovative, AI - equipped trading solutions.
Product Manager role focused on solving customer and business problems at 10x Banking. Collaborating with teams to drive product complexity and support organizational goals.