Job Purpose:
The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by customers. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
Qualifications & Experience:
- 8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
- Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
- Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
- Experience working with security, privacy, and data governance requirements in regulated environments.
- Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
- Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
Skills & Abilities:
- Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
- Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
- Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
- Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
- Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
- Clear communication and narrative-building for executive and technical audiences.
Tools:
- Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)
- Analytics: PostHog, KPI dashboards (Power BI)
- API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)
- Collaboration: Miro, Figma, MS Teams
