Senior Product Builder Consumer AI
Job Summary
ShopBack serves 45M shoppers across Asia with cashback deals and discovery. Were now building the layer on top: AI-native shopping experiences that personalise guide and delight at scale.
This role is for someone who closes the gap between product thinking and design craft and ships AI-powered consumer experiences that people genuinely use. Not a PM with design opinions. Not a designer with product instincts. A builder who operates at the intersection and holds the bar across both.
Youll work on consumer-facing AI surfaces search discovery personalised recommendations in a team that has moved past add AI to the product and is building AI-first from the ground up.
- You take a messy space shifting user behaviour an emerging AI capability a business bet and sharpen it into a crisp problem statement with a clear success condition.
Set the craft bar.
- You define what great looks like for your surface. You review work call out the delta between good and great and hold that standard under deadline pressure.
Prototype to think.
- You use AI-assisted tools to build working prototypes before specs are written. You dont wait for the design file to be finished before forming a point of view.
Lead the product strategy for your domain.
- You own the outcome not just the output. You connect metric movements to specific design decisions and change direction when the data doesnt support the hypothesis.
Build the eval layer for your AI surfaces.
- When an AI feature ships you own the quality bar structured test cases scoring criteria and failure mode coverage. AI output is unverified until tested. It looks right is not a quality check.
Lift the team around you.
- You actively shape how other builders approach problems through review patterns and shared standards. Leadership is a day-1 expectation at this level.
Model AI-native practice for the team.
- At this level your job isnt just to use AI fluently its to help the people around you understand where it creates real leverage in their specific work. Not sharing tools. Demonstrating deliberate practice.
Maintain the design system as a shared knowledge layer.
- Token architecture component docs and pattern rationale kept in formats that engineers and AI tools can consume. Not just Figma files.
Craft and product not one or the other
- Strong design eye with the ability to prototype consumer experiences end-to-end from rough layout to precise interaction detail
- Can spec requirements in forms that directly unblock engineers: verbal description production URL reference component vocabulary or working prototype
- Work has very few visual issues; holds the line on localisation edge cases and interaction precision not just the happy path
Genuine fluency with consumer AI products
- Has shipped AI-powered features that real users relied on search recommendations generative UI conversational interfaces or similar
- Understands where AI adds real value and where it adds noise; can articulate the design principles that distinguish the two
AI as a primary co-worker not an occasional shortcut
- You direct AI across your daily workflow copy iteration UI pattern generation prototype production research synthesis localisation review and validate outputs against your own judgment. You run materially faster than a conventional workflow without offloading the judgment layer. This is a baseline expectation for this role not a differentiator.
Seniority that scales beyond yourself
- Independently strategic doesnt need the problem handed to them
- At least one team around them is doing better work because of their involvement
- Track record of making the right call in ambiguous cross-functional situations
- Can point to a consumer metric that moved because of a design decision they owned
- Can show work that others built on a component a pattern a framing not just work that shipped
- We have moved past using AI tools. The team operates in an AI-native workflow: prototypes generated before specs design systems maintained as machine-readable knowledge layers eval sets built for AI-assisted surfaces and no-canvas mode the default for incremental changes.
- AI output on this team is adversarially evaluated not accepted. Eval sets are shared assets not personal checklists.
- You will be expected to adopt model and evolve these practices not just follow them.
- Agency - We take ownership and act rather than waiting for permission. When somethings blocking progress we find a way through it and follow through until its done.
- Judgement- We aim for high-impact decisions not just easy wins and we put the bigger picture ahead of individual interests. That means moving quickly and confidently while staying thoughtful about when a call really matters.
- Learning Velocity - We pick up new skills fast and let go of old habits just as quickly when something better comes along. We benchmark ourselves against the best and keep raising our own bar.
- Tenacity - We stay in it when things get hard keeping a level head under pressure. We debate openly before deciding then commit fully and support each other along the way.
- Career growth opportunities to take on greater challenges that help you realise your ambitions.
- Be part of a winning team on a journey to global scale.
- Competitive compensation based on performance.
- Candid open and collaborative culture where feedback is valued.
Required Experience:
Senior IC
About Company
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