SECAI MARCHE SDN. BHD.
Technical Product Development Manager – E-Commerce
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Shah Alam, Selangor, Malaysia
Work mode:
Onsite
Published on:
1 September 2026
What they need
About the role
Lead recommendation and personalization features on the e-commerce platform, from planning through implementation. You will work across the full stack in a small team, collaborating closely with Sales and Customer Success teams to translate customer needs into features. The role involves automating upsell and cross-sell processes, building retention capabilities, identifying data gaps, and driving continuous improvement through measurement and analysis.
Key responsibilities
- Lead recommendation and personalization features on the e-commerce platform, from planning through implementation
- Automate upsell and cross-sell, replacing manual work
- Build retention data capture and retention actions into the platform
- Identify gaps in purchase data and CRM (HubSpot) and drive enhancements
- Establish measurement of results and a cycle of continuous improvement
- Work closely with Sales and Customer Success teams to translate customer needs into features
- Continuously analyze LTV and per-customer contribution margin, and lead initiatives toward 4% improvement
- Write analytical SQL queries against production databases to design and measure features
- Build and operate systems made of multiple cooperating services, including web applications, asynchronous batch or queue processing, and external API integrations
About you
- Product development experience in e-commerce, including implementing and operating recommendation, personalization, or targeting
- Experience designing initiatives from data, shipping them as features, and measuring results
- Experience collaborating with other teams such as Sales and Customer Success to turn customer problems into features
- Hands-on experience building and improving a production system
- Strong SQL: able to write analytical queries (multi-table joins, aggregations, window functions) against a production database
- Production experience on AWS (ECS, RDS, Lambda) and with infrastructure as code (AWS CDK; Terraform experience transfers)
- Experience building and operating a system made of multiple cooperating services, including debugging problems that cross service boundaries
- AI-driven development experience: productive from day one in a workflow where most code is written with AI coding tools (Claude Code)
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