Cognitive AI Product Manager

Job Description

Duties And Responsibilities

• Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
• Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
• Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
• Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
• Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
• Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
• Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
• Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
• Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
• Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.

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.

Potential Background

• 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: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics