Director, AI Deployment Management

Overview

OpenAIs mission is to ensure that artificial general intelligence benefits all of humanity. As AI capabilities rapidly evolve the success of our customers increasingly depends on their ability to effectively deploy operationalize and scale AI within real-world workflows. The Post-Training and Customer organizations play a critical role in bridging advanced AI systems with durable customer value.

We are seeking a Director AI Deployment Management to lead and scale OpenAIs global AI Deployment Management (ADM) organization. This leader will oversee all ADM teams including:

• Builder ADM focused on Codex and builder workflows

• Core ADM focused on foundational customer workflows and platform adoption

• Pilot ADM focused on early-stage deployments experimentation and scaled onboarding motions

This role reports directly to the Head of Technical Readiness and serves as a critical second-line leadership role responsible for driving operational excellence customer outcomes and organizational scale across OpenAIs Customer Success and Technical Success functions.

The Director AI Deployment Management will oversee the technical and operational execution of customer deployments across the customer lifecycle ensuring customers successfully adopt operationalize and expand their use of OpenAI technologies. This leader will play a pivotal role in shaping how enterprises integrate AI into real-world workflows while building the systems teams and processes necessary to support rapid global growth.

This role requires a highly strategic and operationally rigorous leader who can align multiple deployment organizations around a unified customer experience partner closely with cross-functional stakeholders and build scalable mechanisms that enable customers to realize durable business value from OpenAIs products.

Role Objective

The primary objective of this role is to scale and mature OpenAIs global AI Deployment Management organization while ensuring customers achieve successful safe and scalable adoption of OpenAI technologies.

This leader will drive operational excellence across deployment organizations establish scalable systems and governance models and help shape how enterprises operationalize AI at scale. Success in this role will directly influence customer satisfaction adoption outcomes deployment quality and OpenAIs ability to support rapid enterprise growth globally.

In This Role You Will:

Develop and Scale the AI Deployment Management Strategy

• Define and continuously refine the vision operating model and long-term strategy for the global AI Deployment Management organization.

• Align deployment strategies with OpenAIs broader business objectives and evolving customer needs.

• Build scalable frameworks that support long-term organizational growth and operational maturity.

Lead and Grow Global ADM Organizations

• Lead and mentor second-line managers and multidisciplinary ADM teams across Builder Core and Pilot deployments.

• Foster a high-performance culture centered on operational rigor customer impact scalability and continuous improvement.

• Develop strong leadership bench strength and management capabilities across the organization.

Drive Customer Adoption and Deployment Success

• Ensure customers successfully deploy and operationalize OpenAI solutions across a wide range of use cases and industries.

• Build repeatable deployment frameworks and scalable engagement models that improve customer outcomes and accelerate adoption.

• Oversee complex enterprise deployment programs and customer operationalization efforts at scale.

Build Scalable Operational Systems

• Design and implement scalable processes tooling metrics reporting frameworks and governance models.

• Improve deployment quality operational efficiency organizational visibility and customer satisfaction.

• Establish clear operational KPIs and mechanisms for measuring deployment effectiveness and customer outcomes.

Partner Cross-Functionally

• Collaborate closely with GTM Product Engineering Research Customer Success and Technical Success leadership teams.

• Align deployment strategies with product evolution and customer needs.

• Surface deployment learnings and customer feedback to inform roadmap and organizational priorities.

Represent the Voice of the Customer

• Act as a key escalation point and strategic advisor for customer deployments.

• Advocate for customer needs and operational insights across the organization.

• Ensure customer feedback meaningfully influences deployment practices product direction and operational priorities.

Enable Organizational Scale

• Partner with leadership to evolve and scale OpenAIs broader Customer Success and Technical Success organizations.

• Help define career paths organizational structures and operational maturity frameworks.

• Improve organizational scalability while maintaining a high-quality customer experience.

Establish Operational Excellence

• Create a culture of accountability prioritization execution excellence and continuous optimization.

• Use data and operational insights to drive strategic decisions and improve customer outcomes.

• Identify and resolve operational bottlenecks across deployment workflows and customer engagement motions.

Champion Safe and Responsible AI Adoption

• Ensure deployment practices align with OpenAIs commitment to the safe ethical and responsible deployment of AI technologies globally.

• Help customers operationalize AI responsibly within complex enterprise environments.
  

You Might Thrive in This Role If You:

• Have a proven track record of building and leading large-scale customer-facing technical organizations through periods of rapid growth and organizational scale.

• Have experience managing second-line leaders and overseeing multidisciplinary teams across technical deployment customer success solutions architecture or technical account management functions.

• Bring strong operational leadership experience including designing scalable systems processes tooling and metrics for customer deployment and adoption motions.

• Have a deep understanding of enterprise AI deployment workflows platform technologies and technical customer engagement models.

• Have led organizations responsible for complex technical implementations and customer operationalization at scale.

• Possess exceptional leadership presence and the ability to inspire motivate and align high-performing teams around ambitious goals.

• Collaborate effectively across Product Engineering GTM and executive stakeholders.

• Can clearly communicate complex technical concepts and strategic priorities to both technical and non-technical audiences.

• Use data and operational insights to guide organizational strategy prioritize investments and improve customer outcomes.

• Bring a customer-centric mindset and a demonstrated commitment to delivering exceptional customer experiences.

• Operate with strong judgment analytical rigor and the ability to prioritize effectively in fast-moving environments.

• Demonstrate humility adaptability and a willingness to continuously learn and support others.

• Are personally committed to fostering the safe and ethical evolution of AI.

Nice to Have

• Prior experience working within AI developer platforms or enterprise software ecosystems.

• Familiarity with developer tooling coding workflows and AI-assisted software development particularly related to Codex and builder experiences.

• Experience leading globally distributed organizations across international markets.

• Experience building organizations from early-stage scale through operational maturity.

• Executive sponsorship experience managing strategic customer relationships and enterprise deployments.

• Familiarity with organizational transformation and change management initiatives.
  

What Success Looks Like

First 90 Days

• Develop a deep understanding of OpenAIs mission products deployment motions organizational structure and customer landscape.

• Build strong relationships across ADM leadership Technical Readiness Customer Success Technical Success GTM Product Engineering and Research organizations.

• Meet with leaders and team members across Builder ADM Core ADM and Pilot ADM to understand workflows strengths challenges and opportunities for scale.

• Assess the current AI deployment operating model including customer engagement processes escalation paths tooling metrics staffing models and organizational health.

• Analyze deployment data customer outcomes operational bottlenecks adoption patterns and customer feedback to identify improvement opportunities.

• Deliver early operational improvements that increase deployment quality efficiency customer satisfaction and organizational clarity.

• Begin defining a scalable long-term operating framework for the ADM organization.

• Establish communication rhythms and alignment mechanisms across leadership stakeholders.

Within 12 Months

• Successfully scale and mature the global AI Deployment Management organization to support significant customer and revenue growth.

• Improve deployment success metrics customer adoption outcomes operational efficiency and customer satisfaction across ADM-supported engagements.

• Build scalable organizational systems management structures and operational processes that support long-term growth.

• Strengthen collaboration and alignment between ADM Customer Success Technical Success Product and Engineering organizations.

• Develop strong leadership bench strength across Builder ADM Core ADM and Pilot ADM teams.

• Establish operational metrics and reporting frameworks that improve visibility into deployment quality and customer outcomes.

• Improve organizational scalability while maintaining a consistently high-quality customer experience.

• Help shape the evolution of OpenAIs broader Customer Success and Technical Success operating models.

• Become a trusted strategic partner across the organization recognized for operational excellence execution and customer impact.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

Director