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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
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This listing does not state a salary
$135k – $195k
That is the middle half of what comparable roles paid on this board over the last 90 days — 44 listings that did publish a figure, median $168k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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
- 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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 25 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.