Business Development Consultant 3-Corp Plan

Oracle Corporation • San Francisco, CA, United States, US • 1w ago

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.

Internal Responsibilities

Responsibilities

As a member of this team, you will be responsible for identifying, developing, and closing a number of high-impact opportunities with leading AI organizations to achieve strategic objectives.

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.

Preferred 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
Ability to engage credibly with both senior executives and technical stakeholders, including engineers and researchers
Track record of being early to emerging technologies, markets, or companies, with evidence of strong judgment and market insight
Comfortable operating in high-ambiguity, high-travel environments with significant autonomy and accountability

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

This role requires extensive travel.

External Responsibilities

Responsibilities

As a member of this team, you will be responsible for identifying, developing, and closing a number of high-impact opportunities with leading AI organizations to achieve strategic objectives.

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.

Preferred 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
Ability to engage credibly with both senior executives and technical stakeholders, including engineers and researchers
Track record of being early to emerging technologies, markets, or companies, with evidence of strong judgment and market insight
Comfortable operating in high-ambiguity, high-travel environments with significant autonomy and accountability

What This Role Is Not