Business Development Consultant 4-Corp Plan

Oracle

United States3h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed
Must know
Stakeholder managementSalesSystem designMachine learningAWSAzure
Work
On-site in United States
Pay
Not stated by the employer.
Skill demand
Sales99%Stakeholder management9%of 143 similar entry-level jobs posted in the US this week
Listed
Nov 1, 2026 · still open

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About the Role

The position is centered on originating and closing a number of high-value, multi-year infrastructure engagements that materially impact Oracle’s position in the AI ecosystem. You will operate with a high degree of autonomy, focusing on judgment, access, and execution rather than volume-based activity. Success will also include the generation of strategic pipeline through deep ecosystem engagement across AI founders, researchers, and investors. Develops and executes partnership strategies with a small number of high-priority accounts. Builds senior-level relationships, identifies long-term infrastructure needs, and positions OCI as a core partner for large-scale AI development. Requires strong technical, commercial, and relationship-building capabilities to engage effectively with both executive and engineering stakeholders.

Key Responsibilities

  • Identifies and engages frontier AI labs, top-tier startups, and emerging companies with significant AI infrastructure needs.
  • Develops conviction-driven pipeline based on early signals, market insight, and ecosystem relationships rather than traditional territory coverage.
  • Structures and closes complex, multi-year infrastructure agreements involving AI infrastructure and ancillary compute resources.
  • Engages directly with founders, technical leaders, and executives to understand and shape infrastructure strategy, including training and inference requirements.
  • Builds and maintains relationships across the AI ecosystem, including venture capital firms, founders, and technical operators.
  • Provides informed perspective on AI infrastructure trends, competitive positioning, and emerging demand signals to senior leadership.
  • Collaborates cross-functionally with product, engineering, and capacity planning teams to ensure successful delivery and scaling of customer workloads.
  • Operates independently in a high-ambiguity environment without reliance on traditional sales processes, territories, or activity metrics.
  • Maintains deep understanding of AI infrastructure technologies, including GPUs, distributed systems, and large-scale training environments, to effectively position OCI solutions.
  • Represents Oracle in high-touch, in-person engagements, requiring frequent travel to key AI hubs and customer locations.
  • Participates as a strategic partner in shaping Oracle’s approach to AI infrastructure, working closely with senior stakeholders across the organization to support long-term growth in the AI market.

Requirements & Tech Stack

  • Strong technical, commercial, and relationship-building capabilities.
  • Deep understanding of AI infrastructure technologies, including GPUs, distributed systems, and large-scale training environments.
  • Ability to engage credibly with both senior executives and technical stakeholders, including engineers and researchers.
  • Comfortable operating in high-ambiguity, high-travel environments with significant autonomy and accountability.
  • Requires extensive travel.

Qualifications

  • Demonstrated experience working with leading AI organizations, including frontier labs, high-growth AI startups, or hyperscale cloud customers.
  • Background in AI/ML infrastructure, cloud platforms, or distributed systems, with exposure to large-scale training or inference workloads.
  • Experience in roles at AWS, Google Cloud, Microsoft Azure, or similar environments supporting advanced AI customers.
  • Experience in venture capital, growth equity, or early-stage startup ecosystems, particularly with a focus on AI/ML.
  • Established network across AI founders, technical leaders, venture investors, and key decision-makers in high-growth AI companies.
  • Proven ability to originate, influence, and close complex, high-value deals or partnerships with minimal structure or oversight.
  • Strong understanding of GPU-based infrastructure, distributed systems, and scaling challenges in AI environments.
  • Track record of being early to emerging technologies, markets, or companies, with evidence of strong judgment and market insight.

What This Role Is Not

  • Not a traditional quota-carrying sales role.
  • Not focused on broad account coverage or transactional deals.
  • Not a role where time-in-seat substitutes for impact.

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