Why This Job is Featured on The SaaS Jobs
This role sits at the intersection of SaaS platform adoption and the cloud partner ecosystem, where deployment patterns and reference architectures often determine whether new capabilities reach production at scale. Leading an AWS-aligned deployment pod signals a focus on repeatable, partner-led implementation motions rather than one-off customer work, which is increasingly how enterprise SaaS and API-first products expand distribution.
For a SaaS career, the standout value is the chance to build operating models that translate a technical platform into measurable production outcomes across many downstream teams. Managing engineers who guide solution design, security considerations, operational readiness, and optimization provides durable experience in post-sales technical leadership, platform enablement, and feedback loops that inform product roadmaps. The emphasis on scaling deployments through partners also maps well to modern SaaS go-to-market, where alliances and integrators influence adoption as much as direct sales.
This position fits leaders who enjoy balancing people management with technical escalation, and who are comfortable coordinating across Sales, Product, and Engineering without relying on formal authority. It will appeal to those drawn to cloud-native architecture work and to shaping how external partners consistently deliver customer outcomes on a shared platform.
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
About the team
The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands-on execution.
The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform.
About the role
We are seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions.
Your team will guide partners and customers through the full AI implementation lifecycle—from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy.
This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem.
This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments.
Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.
Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies.
Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.
Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity and drive successful outcomes.
Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices.
Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns that improve partner effectiveness and reduce time-to-production.
Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development.
Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.
You might thrive in this role if you:
Have 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners.
Have 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.
Have hands-on experience deploying Generative AI and traditional ML systems into production environments, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.
Have strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns.
Have experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.
Have technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.
Are comfortable balancing strategic leadership with hands-on technical engagement and operational execution.
Are an effective communicator who can translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers alike.
Have a strong sense of ownership, humility, and curiosity, with a willingness to learn quickly and help others succeed in ambiguous, fast-moving environments.
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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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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