# Account Director, Tech

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Account Executive
**Salary:** $430k – $480k/yr
**Skills:** Enterprise Sales, Cloud Computing, Infrastructure, Cybersecurity, Artificial Intelligence, APIs, Machine Learning, Foundation Models, Cloud Architecture, Data Infrastructure, Security, Governance, Forecasting, Pipeline Management
**Posted:** 2026-09-03

> Owns strategic technology accounts, driving enterprise sales, adoption, revenue growth, and expansion of AI solutions. The role requires strong executive relationship-building, technical fluency, complex sales-cycle leadership, and experience selling enterprise technology to large companies.

## Job Description

## Responsibilities
- Own and grow a portfolio of strategic technology accounts, driving pipeline creation, revenue, customer adoption, and long-term expansion.
- Develop account strategies aligned with customer priorities, product roadmaps, technical architectures, and AI ambitions.
- Build relationships with senior executives and leaders across product, engineering, data, AI/ML, infrastructure, security, finance, procurement, and go-to-market functions.
- Identify opportunities to embed OpenAI capabilities into customer-facing products, developer platforms, and internal workflows.
- Lead complex enterprise sales cycles from discovery and technical evaluation through agreement, deployment, and expansion.
- Create demand by connecting OpenAI capabilities to new products, revenue opportunities, operational improvements, and competitive differentiation.
- Partner with Solutions Engineering and customer technical teams on architectures, implementation requirements, and secure, scalable deployments.
- Work with Customer Success on adoption plans, customer outcomes, and expansion of successful use cases.
- Navigate usage-based business models, enterprise agreements, security requirements, procurement processes, and multi-year commitments.
- Coordinate with Product, Research, Partnerships, Legal, Finance, Marketing, and Operations to address customer needs and remove obstacles.
- Maintain discipline across account planning, forecasting, pipeline management, executive communication, and stakeholder alignment.
- Represent the company at customer meetings, executive briefings, and relevant industry events.

## Requirements
- Significant experience selling enterprise software, cloud, infrastructure, data, developer, cybersecurity, or AI solutions to large technology companies.
- Consistent success meeting or exceeding ambitious revenue targets while managing complex strategic accounts.
- Understanding of how technology companies evaluate, build, launch, and scale products.
- Ability to engage credibly with technical audiences and translate complex capabilities into business value for executives.
- Experience creating new opportunities within sophisticated accounts.
- Familiarity with product architecture, APIs, data strategy, security, governance, infrastructure, and technical implementation.
- Experience leading sales processes involving product, engineering, security, legal, procurement, finance, and executive stakeholders.
- Ability to build C-level relationships and broad organizational support.
- Consultative approach to helping customers shape AI strategies.
- Strong judgment, attention to detail, and operational rigor in forecasting, deal strategy, and account prioritization.
- Commitment to responsible AI development and safe deployment.

## Nice-to-haves
- Experience working with large software, internet, cloud, infrastructure, cybersecurity, semiconductor, or digital-native companies.
- Established senior relationships across the technology industry.
- Experience selling developer-facing products, APIs, platform technologies, or consumption-based solutions.
- Familiarity with generative AI, machine learning, foundation models, cloud architecture, data infrastructure, or modern application development.
- Experience supporting customers embedding third-party technology into commercial products.
- Understanding of commercial and technical considerations for enterprise-scale AI products.
- Experience expanding technical evaluations into strategic, multi-year relationships.

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