This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Manager – GenAI Programmes based in United States.
This is a high-impact opportunity to lead the delivery of multiple enterprise GenAI initiatives from concept through production.
You will own AI use cases across requirements definition, proof of concept, MVP development, and early production stabilisation.
The role sits at the intersection of product strategy, technical delivery, and business transformation.
You will translate complex business objectives into clear technical direction for engineering and AI teams.
Working across several parallel AI streams, you will coordinate architects, engineers, data scientists, and UX specialists.
You will also engage senior stakeholders, manage delivery risks, and communicate progress in a high-visibility environment.
The position is ideal for a technically fluent product leader who can bring structure, momentum, and business value to complex GenAI programmes.
Accountabilities
- Own the end-to-end delivery of assigned GenAI use cases, from requirements and proof of concept through MVP and early production stabilisation.
- Translate business objectives into structured technical direction aligned with GenAI, LLM, and enterprise architecture patterns.
- Develop detailed requirements covering data sources, AI processing logic, validation approaches, expected outputs, and acceptance criteria.
- Define scope, priorities, milestones, and delivery roadmaps across multiple concurrent AI initiatives.
- Coordinate architects, backend engineers, data scientists, UX teams, and other technical stakeholders to maintain delivery alignment.
- Ensure LLM integrations, retrieval mechanisms, and agent workflows remain focused on measurable business outcomes.
- Identify and proactively manage delivery risks, dependencies, constraints, and stakeholder expectations.
- Lead product demonstrations, progress reviews, and executive updates for senior business stakeholders.
- Support operational readiness, knowledge transfer, handover, and early-stage production support.
- Help establish effective delivery governance and maintain momentum across a complex, enterprise-scale transformation programme.
Requirements
- 5–10 years of experience in Product Management, Technical Programme Management, Engineering Leadership, or a closely related discipline.
- Strong conceptual understanding of Generative AI and LLM-based systems, with the ability to communicate technical concepts effectively to both technical and business audiences.
- Practical understanding of RAG architectures, agent workflows, embeddings, vector databases, and data orchestration.
- Experience delivering multi-component enterprise technology solutions from initial concept through implementation.
- Proven ability to manage senior stakeholders, facilitate executive communication, and align diverse teams around shared objectives.
- Strong analytical and organisational skills, with the ability to structure ambiguity and translate complex requirements into actionable direction.
- Demonstrated ownership, delivery discipline, and the ability to proactively identify and resolve blockers.
- Experience working across multiple concurrent initiatives while maintaining clear priorities and accountability.
- Familiarity with cloud-based AI architectures and orchestration platforms is advantageous.
- Experience in regulated or compliance-heavy environments, AI transformation, or enterprise digital programmes is a plus.
Benefits
- Competitive salary aligned with experience and responsibilities.
- Opportunity to work on large-scale GenAI transformation programmes with international stakeholders.
- Exposure to multiple enterprise AI use cases and emerging LLM technologies.
- Comprehensive healthcare coverage.
- Long-term B2B contract with a stable project pipeline.
- Fully remote working model.
- Multinational environment offering collaboration across international teams.
- High-visibility role with the opportunity to influence AI product strategy and enterprise delivery.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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