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OpenAIOpenAI

Account Director, Tech

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.

About the job

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.

Skills

Enterprise Sales, Cloud Computing, Infrastructure, Cybersecurity, Artificial Intelligence, APIs, Machine Learning, Foundation Models, Cloud Architecture, Data Infrastructure, Security, Governance, Forecasting, Pipeline Management

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