Why This Job is Featured on The SaaS Jobs
AI Success Engineer roles sit at a pivotal point in modern SaaS, where platform capability only becomes durable value once it is integrated, adopted, and governed inside real organizations. OpenAI’s focus on guiding customers from first deployment through scaled enterprise adoption makes this a representative example of how AI-native SaaS is being operationalised across industries, with the post-sales function acting as the bridge between product primitives and production workflows.
From a SaaS career perspective, this kind of remit builds rare range across the full adoption lifecycle: technical onboarding, workflow design, stakeholder alignment, and measurable outcome tracking. The work naturally develops fluency in integration patterns, customer enablement, and portfolio-level account health, while also sharpening the ability to translate product constraints and model behavior into practical implementation choices. That blend tends to transfer well across platform SaaS, developer tooling, and data-centric products.
This role is best suited to professionals who enjoy owning ambiguous customer outcomes end to end and switching between hands-on technical problem solving and structured program leadership. It will fit someone who values cross-functional navigation across Sales, Product, and Engineering, and who prefers work that is judged by sustained usage and impact rather than initial launch success alone.
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
OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.
Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.
About the Role
The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.
This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.
You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.
This role is based in Sydney, Australia.
In this role, you will:
Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.
Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
Conduct technical enablement and configuration sessions across our broad product portfolio.
Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.
Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.
Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.
Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting.
Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.
Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business.
Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc..
You’ll thrive in this role if you:
8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.
Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.
Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure.
Enjoy being a thought partner for C level stakeholders while also diving deep with technical teams.
Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs.
Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.
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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