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VP, Marketplace & Partnerships - Language Models; LLM
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-02-24
Listing for:
Dentsu Aegis Network Ltd.
Full Time
position Listed on 2026-02-24
Job specializations:
-
IT/Tech
AI Engineer, Data Science Manager
Job Description & How to Apply Below
Location: New York
VP, Marketplace & Partnerships - Large Language Models (LLM) page is loaded## VP, Marketplace & Partnerships - Large Language Models (LLM) locations:
New York:
Chicago - N. Statetime type:
Full time posted on:
Posted Todayjob requisition :
R1109731
*
* Job Description:
** The Marketplace & Partnerships division is responsible for all elements of strategic partnerships for the dentsu Media practice in the US. The team sits at the intersection of dentsu’s media agencies (Carat, iProspect and dentsu
X), clients, investment and activation communities, and Amplifi, the commercial innovation arm for dentsu. The team is responsible for translating the business needs of dentsu’s clients, the strategic and commercial imperatives of dentsu itself, as well as emergent and established trends across the industry and society into strategic, value-driven, and beneficial partnerships. They also set the strategic agenda for partnerships at dentsu in the marketplace, how that pertains to new business and in product/solution design within dentsu.
This VP role focuses on the rapidly evolving landscape of Large Language Models (LLMs), generative AI platforms, and model infrastructure. Sitting at the intersection of enterprise AI strategy, product innovation, engineering, and commercial operations, this role ensures that the organization has the right LLM partners, capabilities, and commercial agreements to accelerate growth and deliver differentiated value for clients.
You will operate as an enterprise subject matter expert in LLMs—including foundation models, fine tuning partners, vector database vendors, model ops platforms, and safety/guardrail technologies. They will define our LLM partnership strategy, negotiate and structure commercial and technical agreements, and ensure that these partnerships align with the strategic, innovative, and value driven objectives of the organization. The VP will contribute meaningfully to the broader AI partnership vision across all channels and business units.
Reporting into the SVP, Commerce & Intent Partnerships Lead, this role will be tasked with contributing their core objectives towards the overall partnership strategy and vision across all channels.
-matter expert in LLMs—including foundation models, fine-tuning partners, vector database vendors, model-ops platforms, and safety/guardrail technologies. They will define our LLM partnership strategy, negotiate and structure commercial and technical agreements, and ensure that these partnerships align with the strategic, innovative, and value-driven objectives of the organization. The VP will contribute meaningfully to the broader AI partnership vision across all channels and business units.
Given the cross‑functional nature of AI transformation, this role will collaborate with product, engineering, data science, legal, security, media, and commercial teams to create mutually beneficial outcomes. The VP will also provide senior leadership with insights on market evolution, emerging risks, competitive differentiation, and partnership performance.
** Key Responsibilities
*** Own and lead a portfolio of LLM focused partnerships, including model providers, infrastructure platforms, safety/guardrail vendors, and model ops technologies.
-focused partnerships, including model providers, infrastructure platforms, safety/guardrail vendors, and model-ops technologies.
* Translate market intelligence, client needs, and internal priorities into a comprehensive annual LLM partnership strategy.
* Identify, vet, and cultivate new LLM and gen‑AI partnership opportunities that enhance product innovation and enterprise capabilities.
* Serve as a senior subject‑matter expert on LLM technologies, while representing adjacent AI domains in partnership conversations.
* Collaborate with Product, Engineering, and Data Science to ensure LLM partnerships align with capability roadmaps, model requirements, and value‑creation goals.
* Work cross‑functionally across AI, media, creative, and commercial teams to design integrated go-to-market strategies leveraging LLM partners.
* Evaluate commercial viability and technical compatibility of LLM opportunities; ensure each…
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