Description review
Technical Product Manager – GenAI Programmes
Madiff · United States · back to the listing
HR standards
52/100
needs work
Title ↔ description
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Reads as
Product Manager
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What this role officially is
ICT product manager — ESCO, the EU occupation classification
ICT product managers analyse and define current and target status for ICT products, services or solutions. They estimate the cost effectiveness, points of risk, opportunities, strengths and weaknesses of products or services provided. ICT product managers create structured plans and establish time scales and milestones, ensuring optimisation of activities and resources.
Also known as: IT product manager, IT products manager, ICT product managers, ICT products manager, ICT products managers
How others title the same work
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Startups
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What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
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 years1 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
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 years1 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