Technical Product Manager – GenAI Programmes

This is a remote position.

We are looking for a Technical Product Manager to lead delivery across multiple enterprise GenAI initiatives within a large-scale transformation environment. This is a strategic role requiring full ownership of AI use cases from concept through POC to production-ready MVP, with strong stakeholder management and technical alignment from day [link removed] engagement spans several parallel AI streams embedded into core business processes. The role combines product leadership, technical translation, delivery governance, and executive communication in a fast-paced, high-visibility environment.

Responsibilities

• Drive end-to-end delivery of assigned GenAI use cases from requirement definition through POC, MVP, and early production stabilisation
• Translate business objectives into structured technical direction aligned with GenAI and LLM architecture patterns
• Prepare detailed requirement documentation including data sources, AI processing logic, validation steps, and output definitions
• Define scope, prioritisation, and delivery roadmaps across multiple parallel AI streams
• Coordinate architects, backend engineers, data scientists, and UX teams
• Ensure LLM integrations, retrieval logic, and agent workflows align with business value
• Manage risks, dependencies, and stakeholder expectations proactively
• Lead demos and executive updates for senior business stakeholders
• Support operational readiness, handover, and early-stage production support

Requirements

• 5–10 years of experience in Product Management, Technical Programme Management, or Engineering Leadership
• Strong conceptual understanding of GenAI and LLM-based systems
• Understanding of RAG architectures, agent workflows, embeddings, vector databases, and data orchestration
• Experience delivering multi-component enterprise technology solutions
• Proven ability to manage senior stakeholders and executive communication
• Ability to structure ambiguity and reduce complexity for engineering teams
• Strong ownership mindset and delivery discipline

Nice to have

• Experience working in regulated or compliance-heavy environments
• Background in AI transformation or enterprise digital programmes
• Familiarity with cloud-based AI architectures and orchestration platforms

Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline
• Remote work model

Originally posted on Himalayas