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ShopBack

ShopBack - Senior / Product Builder

Singapore, Hybrid2d ago
In OfficeSeniorAPACArtificial IntelligenceSenior Product ManagerShortcut

Requirements

• Product and technical depth, not one or the other. Strong product judgment with enough technical depth to prototype and reason about search end-to-end — from query understanding to retrieval and ranking. Can spec requirements in forms that directly unblock engineers: verbal description, production URL reference, query set, scoring rubric, or working prototype. Work holds the line beyond the happy path — edge cases, long-tail queries, and localisation. • Genuine fluency with consumer AI products and the Search domain. Has shipped AI-powered features that real users relied on — search, recommendations, ranking, conversational interfaces, or similar. Hands-on with eval pipelines (ideally LLM-as-judge) and familiar with hybrid retrieval and intent classification. Understands where AI adds real value and where it adds noise; can articulate the principles that distinguish the two. • AI as a primary co-worker, not an occasional shortcut. You direct AI across your daily workflow — query-log analysis, judge-prompt writing, eval harnesses, prototype production, research synthesis — 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 — doesn't 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. • The building/selling test. Can point to a consumer metric that moved because of a search decision they owned — relevance, ranking, or query understanding. Can show work that others built on — an eval set, 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, knowledge maintained as machine-readable layers, and eval sets built for AI-assisted surfaces. • 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. • ShopBacker Traits • Agency - We take ownership and act, rather than waiting for permission. When something's blocking progress, we find a way through it and follow through until it's 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. • What's in it for ShopBackers • 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. • We are committed to protecting your data and ensuring fairness in our recruitment process. We may use artificial intelligence (AI) tools to help our team review applications, analyse resumes, match candidates to roles, generate interview notes, and assess responses. These tools assist our recruiters and interviewers and they do not make final hiring decisions. Final hiring decisions are ultimately made by humans. If an assessment is part of your process, we may (with your consent) capture screen activity and/or webcam images during the test to help verify test integrity. We do not use AI to infer your emotions or sensitive traits. We process personal data lawfully, securely, and transparently in line with applicable data-protection laws and our commitment to fair employment. You can ask questions or exercise your rights including to request human review or to challenge an outcome by contacting [email protected].

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