Product Owner (AI Trade Planning), Digital Venture

The Product Owner – AI Trade Planning will be responsible for defining and delivering products that automate campaign and assortment planning. The ideal candidate will have a strong foundation in machine learning concepts, data-driven decision-making, and product strategy, coupled with a deep understanding of e-commerce merchandising and campaign workflows.

This role requires a unique blend of business acumen and technical understanding - someone who can work with campaign planners and data scientists to build tools to automate manual campaign setup with intelligent automation.

Benefits

• Health Insurance – At Makro PRO, we care about your health! Group insurance from a top insurance company is included in your benefits—OPD, IPD, Emergency OPD

• Provident Fund – Makro PRO cares about your long-term plan! We offer 3% provident fund.

• Year-end bonus – We include variable and performance bonus for our employees.

• Gym Facilities – Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!

• Attractive Vacations days – Enjoy our attractive annual leave. Let’s say the minimum is 16 days!

• No overtime – We work 5 days a week with. We set our own goals and deadlines.

• Free car parking space – No more stress or extra cost if you drive to work. We offer free parking space for our employees.

Best Culture

• Clear focus.

• Diverse Workplace (Our members are from around the world!)

• Thai and Non-Thai are both welcome!

• Non-hierarchical and agile environment

• Growth opportunity and career path

• 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.

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.