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About the Role
Prosus is building an AI-first future across a global portfolio spanning food delivery, e-commerce, fintech, and education. As Group Product Manager for our AI Platform, you will own the multi-year product strategy for the platform that underpins every AI initiative across Prosus. You will define and sequence the roadmap for agent infrastructure, evaluation frameworks, model deployment pipelines, and shared capabilities. You will balance long-term platform investments against immediate, high-impact needs and lead and mentor a team of product managers.
Responsibilities
- Own the multi-year product strategy for the AI Platform.
- Define and sequence the roadmap for agent infrastructure, evaluation frameworks, model deployment pipelines, and shared capabilities.
- Balance long-term platform investments against immediate, high-impact needs of teams across the portfolio.
- Lead and mentor a team of product managers, instilling product discipline and building the PM talent pipeline.
- Partner closely with engineering and applied science leadership to shape the technical strategy.
- Make trade-offs between model performance, latency, cost, and reliability.
- Turn ambiguous, fast-moving business needs into clear requirements.
- Align stakeholders across functions and geographies.
- Ensure that what is built is adopted, trusted, and measurably impactful.
- Connect frequently with internal teams who use the platform.
- Validate solutions through product discovery.
- Protect engineers' focus and course-correct execution.
Requirements
- 8+ years in product management.
- At least 3–5 years in formal people-management roles leading a team of product managers.
- Demonstrated success owning platform-level or infrastructure products used by internal teams, ideally including AI/ML platform capabilities, MLOps tooling, or developer-facing services.
- Hands-on experience with generative AI, LLMs, and the model lifecycle (training, fine-tuning, evaluation, deployment, and monitoring) in production environments.
- Track record of defining and executing multi-year product strategies in fast-moving, high-scale environments.
- Ability to engage substantively with engineering and applied science teams on architectural decisions, infrastructure trade-offs, and AI system design.
- Familiarity with agentic workflows, agent frameworks, and the operational patterns that make AI agents reliable at scale.
- Strong data-driven decision-making: comfortable with analytics tooling, A/B testing, defining and tracking KPIs, and using metrics to measure adoption, accuracy, latency, and ROI.
- Experience with modern product and engineering tooling (e.g., Databricks, Jira, Confluence, Figma) and agile methodologies.
- Proven ability to mentor and grow product managers, instilling PM best practices and building talent pipelines.
- Stakeholder management across functions and geographies — aligning engineering, applied science, business teams, and executive leadership around a shared roadmap.
- A bias toward ownership: take accountability for outcomes.
- Customer-first mindset: translate needs into technical requirements, push back when scope dilutes value, and advocate relentlessly for the people who use your platform.
- Comfort with ambiguity: structure complex problems, propose pilots to validate direction, and create clarity for new and evolving teams.
- AI intuition: stay current on models, frameworks, and evaluation methods with the curiosity of a builder.
Skills
- Product Management
- Platform Products
- AI/ML Platform Capabilities
- MLOps Tooling
- Developer-Facing Services
- Generative AI
- LLMs
- Model Lifecycle Management
- Production AI/ML Operations
- Product Strategy
- Agile Methodologies
- Technical Depth
- AI System Design
- Agentic Workflows
- Agent Frameworks
- Data-Driven Decision-Making
- Analytics Tooling
- A/B Testing
- KPI Definition and Tracking
- Stakeholder Management
- Mentoring
- Communication
- Problem Structuring
- Product Discovery
Experience Level
- 8+ years in product management
- 3-5 years in formal people-management roles
Benefits
- Access to education
About the Company
- Prosus is a global technology company powering some of the world's leading lifestyle ecommerce businesses.
- Our AI-driven ecosystem spans 100+ companies across ecommerce, food delivery, fintech and experiences, serving billions of consumers worldwide.
- AI powers how we operate and innovate, with more than 60,000 active AI agents helping our teams build, scale and move faster.
- Through our investment team, we also back the founders and technologies shaping the future: From robotics and autonomous systems to synthetic biology and frontier AI.
- Guided by our five values Innovation, Results, People, Impact, and Entrepreneurship, culture is our competitive advantage.
- We thrive with experimentation; we build, we test, we learn, we iterate.
- We are one of the largest operators of agentic AI on the planet, inside a $100B+ portfolio across 100+ companies and two billion people.
Equal Opportunity
- We respect the dignity and human rights of individuals and communities wherever we operate in the world.
- Building an inclusive workplace where everyone feels welcome and can thrive is critical for us.
- We provide access to education, which helps everyone understand the important role they play and the positive impact they can have.