AI Product Manager

Technologies we use

About the project

Your responsibilities

• Lead discovery: conduct stakeholder interviews and current‑state mapping (SIPOC/Swimlane/BPMN), with bottleneck/root‑cause analysis to surface high‑value MAS opportunities.
• Translate insights into product artifacts: craft clear problem statements, PRDs, user stories, acceptance criteria, and success metrics (OKRs/KPIs).
• Own lifecycle delivery: maintain and prioritize the backlog across PoC → MVP → Production.
• Define MAS system design: specify multi‑agent architectures and orchestration patterns (task decomposition, routing, tool/API use, memory/knowledge access, guardrails) aligned with platform standards.
• Leverage platform/CoE: partner to use approved models, frameworks, and components; publish reusable process maps, playbooks, and templates (PRDs, test plans, adoption guides).
• Drive agile execution: run ceremonies, manage timelines, coordinate cross‑functional contributors (data, ML, application, security), and remove delivery blockers.
• Lead readiness & adoption: own UAT strategy, change management, enablement, and rollout plans to achieve measurable outcomes.
• Ensure trusted data: coordinate with data owners for secure access, data quality, lineage, and integration to systems of record (CRM/ERP/MDM).
• Embed responsible AI: enforce safety, privacy, fairness, and auditability in alignment with governance and compliance.
• Measure & communicate impact: track cycle‑time, accuracy, data‑quality, adoption, and cost‑to‑serve; iterate continuously; serve as single‑threaded owner reporting status, risks, and decisions to sponsors and technical leadership.

Our requirements

• Education & experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Tech experience: Experience in Multi-Agent Systems (MAS) initiatives.
• Ability to effectively use AI tools in design processes.
• You have experience of creating and implementing data and artificial intelligence products.
• Soft skills: Excellent communication and influencing skills across technical and executive audiences.
• Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences.
• Experience working in collaborative, cross-functional environments.
• Proficiency in both spoken and written English is required.

Benefits