Director, Product Platform Retail and CPG Industries

NVIDIA•Santa Clara, CA

3d•Onsite

About The Position

NVIDIA is the Accelerating Computing Platform and infrastructure leading the AI revolution. Are you excited to compose the future of AI and join a team that is redefining computing? NVIDIA is advancing AI through our accelerated computing and infrastructure platform. We are looking for a dynamic, hands-on Director to define and build the Retail & CPG Industries product platform in Santa Clara, CA. This role presents a rare opportunity to demonstrate NVIDIA’s powerful technology to develop a platform that will reshape digital commerce, supply chains, and intelligent stores. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We’re looking for a technical, hands-on Product Leader to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to package the platform. Familiarity with GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal fit. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture of the Retail & CPG platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. It will enable customers and partners to build and deploy agentic solutions faster at scale. This role will promote the platform and collaborate with NVIDIA engineering team to build the platform. You will work with Retail & CPG product management, Business Development and Developer Relations to harness their deep expertise in supply chain and retail, to architect a platform that makes it easier and faster for our ecosystem and customers to build AI solutions. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity.

Requirements

15+ overall years of sales or business development experience in Biopharma technology with proven track record running an overlay sales organization.
7+ years of team management experience.
Builder mentality with proven track record to write code and ship systems.
Expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.
Strong understanding of data pipelines, embeddings, and systems architecture.
Experience with distributed systems, APIs, and microservices.
Ability to build real-time or near-real-time systems and complete work in small teams.
Shown success in lean, high-velocity environments, collaborating with engineering.
Bachelor’s degree or equivalent experience; an MBA or Masters degree is highly desirable.

Nice To Haves

Familiarity with GPU acceleration libraries(CUDA, Triton, TensorRT).
Background in Retail, CPG, logistics, or marketplaces is a plus, but not required.
Experience working with enterprise AI architectures.

Responsibilities

Define product, technical vision and architecture.
Develop platform strategy across supply chain, stores, and e-commerce
Architect and build systems hands-on, using existing blueprints Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIA Retail used for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
Create reusable reference architectures for industry adoption.
Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA’s existing blueprints and workflows.
Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to contribute code, debug systems, and make key technical decisions.
Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
Ensure system reliability through monitoring, evaluation, and fallback strategies.
Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
Contribute to technical thought leadership and engage with the industry.