AI Success Engineer

About the Role

The AI Success Engineer will be at the forefront of driving business value for clients through the effective deployment and adoption of AI technologies. This involves understanding the clients' workflows, identifying areas where AI can add value, and developing strategic plans to implement AI solutions. The role also entails conducting technical enablement and configuration sessions, leading account-level coordination, and building strong relationships with executive sponsors and technical stakeholders.

What You Will Do

• Lead the technical relationship with post-sale clients, acting as their trusted advisor on AI deployment, adoption, and value realization.
• Own account health, adoption velocity, and ongoing technical deployment and success across the client portfolio.
• Conduct technical enablement and configuration sessions across Openai's product portfolio.
• Identify and validate use cases by embedding with client 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, helping 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 teams to surface customer feedback, field patterns, and technical blockers.
• 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 client implementations, guiding and optimizing account setup, configuration, etc.

What We Are Looking For

• 8+ years of experience in technical customer-facing roles, such as technical account management, technical consulting, solutions architecture, or deep technical enterprise SaaS adoption work.
• Deep, hands-on knowledge of Openai product capabilities, APIs, SDKs, connectors, and common integration patterns.
• Ability to explain technical concepts, such as model behavior, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
• Experience with Excel and other data analysis tools.
• Strong technical leadership and program management skills, with the ability to drive adoption and deliver measurable value to clients.
• Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and internal stakeholders.
• Ability to translate technical concepts into clear business language, helping clients understand the strategic impact of AI technologies.
• Strong problem-solving skills, with the ability to navigate complex technical and business challenges.

Nice to Have

• Experience with machine learning or AI technologies.
• Knowledge of cloud computing platforms, such as AWS or Azure.
• Familiarity with agile development methodologies.
• Experience working in a fast-paced, dynamic environment.
• Strong business acumen, with the ability to understand client business goals and objectives.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a leading AI company and contribute to the development of innovative AI solutions.
• Collaborative and dynamic work environment.
• Professional development opportunities, including training and education programs.
• Flexible work arrangements, including remote work options.
• Access to the latest AI technologies and tools.
• Recognition and reward for outstanding performance.
• Comprehensive health and wellness programs.
• Generous paid time off and holiday leave.

• Tip: Highlight your experience with Excel and data analysis tools, as these are key requirements for the role.
• Be prepared to provide specific examples of how you have driven AI adoption and delivered measurable value to clients in previous roles.
• Showcase your ability to explain complex technical concepts in clear, actionable business language.
• Demonstrate your understanding of the current AI landscape and the challenges and opportunities it presents for businesses.
• Prepare to discuss your experience with machine learning or AI technologies, and how you have applied these in previous roles.
• Be ready to provide examples of your technical leadership and program management skills, including your ability to drive adoption and deliver measurable value to clients.
• Tip: Research Openai's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.