Jobs Companies Shopback Product Lead, AI-Native (Special Projects)

Sobre este puesto de Product Lead, AI-Native (Special Projects) en Shopback

Shopback · Presencial · Shenzhen, China

Our Journey

The ShopBack Group is Asia-Pacific’s leading shopping, rewards, and payments platform, serving over 20 million active members across 13 markets. In 2025, the Group continued its global growth with its expansion into North America. Driven by the vision to make every day more rewarding, ShopBack is dedicated to saving members money and time, and delivering delight every day. The platform also enables merchants and brands to engage with their members in a cost-effective manner. Founded in 2014, ShopBack now powers over US$5.5 billion in annual sales for over 20,000 online and in-store partners, and has rewarded shoppers with more than US$900 million (over S$1 billion) in Cashback to date. Through its innovative offerings, ShopBack continues to create value for both members and merchants. Notably, its payment solution, ShopBack Pay, offers members a convenient and rewarding payment option at checkout.

Your Role
ShopBack is building a lean, high-velocity AI-Native Special Projects team to build the future of AI agents for millions of users. As the Lead, you will lead a lean team of product generalists to build agents powered by AI. You will report to the CPO. 
 
You are the bridge between ShopBack’s large first-party data moat and traffic, and the end-user experience. You will be 80% builder and 20% strategist. You will not manage via spreadsheets; you will lead by setting the architectural vision while also leading by executing and shipping hands-on.

What You'll Own

  • Strong Execution: Architect and build the first versions of our AI agents. You are the "First Builder” on this team.
  • Rapid Iteration: Move from ideation to a working prototype in days. You value Velocity over Complexity.
  • AI Implementation: Design and implementation of custom multi-agent AI solutions, integrating both state-of-the-art LLMs (OpenAI, Anthropic, Gemini) or suitable open models using modern orchestration frameworks such as Langchain’s LangGraph to create dynamic and scalable AI agents.
  • Data Driven: Work with our data teams to turn the trove of proprietary first part data into fine-tuned context for our AI agents.
  • Leadership: Lead, grow and develop a lean team of AI-native full-stack generalists who share your bias for action and product-first mindset.
  • Product Discovery: Spend time with prospective customers, including merchants, to understand their pain points. You define the problem before you build the solution.
  • Essentials to Succeed

  • AI Native: You understand foundational model latent space and RAG-enhanced architectures, and how to handle non-deterministic outputs. You know when an LLM is the answer and when a simple heuristic is better.
  • Full-Stack Capability: You can navigate the entire stack—from highly scalable Python-based agentic backends to a polished Flutter interface for cross platform UI/UX.
  • Collaboration: collaborate with cross-functional teams to integrate modern AI stacks into existing infrastructure without getting bogged down in red tape.
  • Impact First: You don't care about "lines of code"; you care about "GMV uplift" and “Users’ time and cost saved."
  • High Ownership: You treat this team with extreme ownership. You find the data you need, you talk to users, and you ship.
  • User Obsessed: You make something people want. And you realise that for an AI agent, the interface is the personality. You care about how the AI "feels" to the user.

  • 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.
    ¿Listo para postularte en Shopback?
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    Cómo se compara este salario de Product Manager

    Este puesto paga $11,440/yrpor debajo de el rango típico para los puestos de Product Manager.

    $111,550 la mediana de $180,000 $250,000

    Rango típico $146,000–$215,000/yr, a partir de 2,751 ofertas comparables de Product Manager en JobsRadar (salario anualizado en USD). Ver datos salariales de Product Manager →

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