AI Product Manager
Summary
Drive AI-powered features for a mobility platform, collaborating with cross-functional teams to identify and implement AI solutions that enhance operations, automation, and user experience.
We are looking for an AI Product Manager to drive the development of AI-powered solutions for a mobility platform supporting 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.
This is a hands-on product role at the intersection of business, AI, automation, and software delivery. You will work closely with stakeholders across Finance, Marketing, Customer Service, Operations, and Engineering to identify where AI can create measurable business value — from process automation and decision support to forecasting, monitoring, anomaly detection, and customer experience improvements.
Who we are looking for
We are looking for someone who combines product thinking with a strong interest in practical AI implementation. This role will suit a person who can spot business problems worth solving, shape AI-based solutions, validate their impact, and work closely with engineering teams to turn prototypes into scalable products.
- 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.