Get to Know the Team
The Search & Personalisation (SNP) team builds the intelligence layer that helps Grab understand what each user wants — and surface it before they ask. We work across search, discovery, recommendations, and cross-vertical personalization, using data and machine learning to make every interaction feel effortless. Our work underpins some of the highest-traffic surfaces in the app, and the decisions we make affect millions of users across Southeast Asia every day.
Get to Know the Role
You will shape experiences for search, discovery, and personalization surfaces, translating ML-driven content into intuitive user interactions. It combines data, experimentation, research, and AI tools to identify opportunities and improve product outcomes.
You will report to the Head of Design, SPA & GFB. We base this role onsite at the One North office.
The Critical Tasks You Will Perform
- Manage end-to-end design for search, discovery, or personalization surfaces within your PST — from problem framing through to shipped product.
- Design experiences where the content is generated — working with ML and data teams to translate algorithmic outputs into intuitive, user-facing interactions.
- Use data, experimentation results, and qualitative research to identify friction points and opportunity areas within your surface.
- Apply AI tools in your workflow — for research synthesis, rapid prototyping, content generation, and interaction exploration.
- Collaborate with PMs, engineers, and data analysts on goals, validate assumptions, and deliver measurable outcomes.
- Contribute to and maintain design system standards, ensuring quality and consistency across high-traffic consumer surfaces.
What Essential Skills You Will Need
- 4–6 years of experience as a Product Designer or UX Designer, with a portfolio of shipped product work.
- Design complex, data-rich tools — within ads, B2B SaaS, e-commerce, or marketplace products.
- Interaction design and visual design skills — comfortable with hierarchy, layout, component-level thinking, and designing for dense information environments.
- Proficiency in Figma and prototyping tools (e.g., ProtoPie); work familiarity with design systems.
- AI Fluency: uses AI tools to accelerate research synthesis, brainstorming, and prototyping, and is comfortable adopting new tools as they emerge.
- Frame design decisions with clear rationale and communicate work to PMs, engineers, and other teams.