AI Product Manager

Link Group is offering a role focused on AI-powered solutions for a mobility platform that supports operators, regulators, service providers, and end users. The platform helps manage vehicles and drivers, streamline mobility services, support sustainable operations, and improve the overall transit experience.

• Proven experience as a Product Manager with a strong focus on user-centric products and measurable business outcomes.
• Solid technical understanding of software development, APIs, AI tools, and modern product architecture.
• Hands-on experience with AI/LLM solutions, AI agents, prompt engineering, or similar technologies.
• Practical exposure to tools and frameworks such as Claude, Claude Code, or Claude Agent SDK.
• Ability to connect business needs with technical possibilities and turn them into actionable product plans.
• Strong stakeholder management and communication skills.
• High ownership, strong prioritization skills, and comfort working in ambiguous, fast-moving environments.

Nice to have:

• Familiarity with agentic workflows, AI evaluation methods, and enterprise tool integrations.
• Experience with SQL, modern data platforms, RAG systems, MCP, or multi-agent architectures.
• Background in strategy, consulting, marketplaces, mobility, or other complex business domains.
• Experience working on automation, analytics, forecasting, monitoring, or decision-support products.

• Partner with business stakeholders to identify high-impact challenges and opportunities for AI-driven solutions.
• Define, prioritize, and deliver AI agents, workflows, and automation initiatives that improve efficiency, reduce costs, and enhance customer experience.
• Translate business needs into clear product initiatives, requirements, success metrics, and delivery priorities.
• Design end-to-end AI solutions, including agent architecture, prompts, integrations, automation logic, monitoring, and evaluation criteria.
• Build and prototype AI-powered solutions using modern agent frameworks and collaborate with engineering teams on production implementation.
• Develop intelligent systems supporting automation, analytics, forecasting, anomaly detection, monitoring, and decision support.
• Continuously measure product performance, gather feedback, and optimize outcomes to ensure tangible business impact.
• Work in a fast-paced environment with high ownership and close collaboration across business and technical teams.