Key skills
Product ManagementLarge Language Models (LLMs)Prompt EngineeringEvaluation FrameworksAgent ArchitecturesModel Performance OptimizationLatency ManagementCost Tradeoff AnalysisEnterprise SystemsAI PlatformsPlatform ProductsAPIsDeveloper EcosystemsPayments SystemsRisk SystemsMarketing SystemsAILeadership
About this role
Zip is a global ‘Buy Now, Pay Later’ company, and they are seeking a Group Product Manager, AI (Products) to lead and scale their AI-powered product portfolio. In this role, you’ll own the strategy and execution of intelligent systems embedded directly into consumer and merchant experiences, driving innovation while ensuring scalability and measurable business impact.
Responsibilities:
- Lead Zip’s AI-powered product portfolio, owning the strategy and execution of AI systems embedded directly into our consumer and merchant experiences
- Identify and prioritize opportunities to build smart AI-powered products that deliver better decisioning, personalization, and outcomes across consumer and merchant experiences
- Drive AI best practices and principles across the entire Product Management organization
- Operate at both the system-level architecture and the product detail
- Collaborate with Engineering, Risk, Design, Legal, and Marketing teams
- Align stakeholders on roadmap priorities and trade-offs
- Present strategy and results to executive leadership
- Own the success of AI products through clear metrics; driving measurable ROI, adoption, and sustained product growth
- Balance innovation with regulatory, compliance, and risk considerations typical in fintech
Requirements:
- 10–12+ years in product management, with significant time in enterprise systems, AI, or infrastructure, including 3–5+ years in leadership roles
- Experience owning complex, high-stakes systems (e.g., payments, risk, marketing, AI platforms)
- You've led teams and shipped products that operate at scale
- Strong background in platform products, APIs, or developer ecosystems
- Deep understanding of: LLMs, prompt engineering, and evaluation frameworks
- Deep understanding of: Agent architectures (planning, tool use, orchestration)
- Deep understanding of: Tradeoffs between model performance, latency, and cost
- Ability to translate complex technical systems into customer value
- You can engage credibly with engineers and researchers on system design
- Track record of owning multi-product portfolios and driving measurable outcome
- Clear alignment with Zip's core values