Why This Job is Featured on The SaaS Jobs
This Director, AI Deployment Management role sits at a crucial junction in modern SaaS: turning a powerful platform into repeatable, enterprise-grade outcomes. The remit spans multiple deployment motions, from early pilots through core adoption, which reflects a product-led ecosystem where customer value depends on operationalizing new capabilities inside real workflows. It is also a strong signal of maturity, with deployment treated as an organizational function that must scale globally rather than a set of ad hoc implementations.
For a SaaS career, the role builds durable leverage in the post-sale engine: designing operating models, metrics, governance, and cross-functional mechanisms that make adoption predictable. That experience translates across platform SaaS businesses where retention and expansion are driven by time-to-value, implementation quality, and feedback loops into Product and Engineering. The scope also develops second-line leadership muscle, balancing executive stakeholder management with systems thinking.
This position fits leaders who prefer building structure where ambiguity is high, and who enjoy translating technical capability into operational standards. It will resonate with operators motivated by customer outcomes, comfortable coordinating across GTM and product organizations, and interested in responsible deployment practices at enterprise scale.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Overview
OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s products.
Role Objective
The primary objective of this role is to scale and mature OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 OpenAI’s 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 information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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