Posted
25 Aug 2026
Last seen
25 Aug 2026
Location
United States
Lifecycle
fresh
Grade
C
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 one.The 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
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