AI Success Engineer

OpenaiOpenai·Remote(Delhi, India)
Software Development
Excel

WFA Digital Insight

As the demand for AI specialists continues to soar, with a 25% growth in 2025, professionals with expertise in driving technical adoption are in high demand. Openai, a pioneer in AI technologies, is seeking an AI Success Engineer to propel customer success. This role stands out for its blend of technical leadership and customer advisory, requiring a unique blend of skills. Before applying, candidates should be aware that this position demands a deep understanding of AI technologies and the ability to translate complex concepts into clear business language. With the right skills, this role offers a chance to be at the forefront of AI innovation.

Job Description

About the Role

The AI Success Engineer role at Openai is a pivotal position that partners with the company's most ambitious customers to unlock the full potential of AI technologies. This role is about more than just technical support; it's about guiding customers through the entire lifecycle of AI adoption, from initial deployment to scaled enterprise integration. As an AI Success Engineer, you will be the primary point of contact for a portfolio of key customers, responsible for driving account health, adoption velocity, and technical deployment success.

The AI Success Engineer team at Openai works closely with various stakeholders, including Sales, Solutions Architecture, Product, and Research, to ensure a seamless and successful customer experience. This team is at the heart of Openai's mission to shape how AI transforms work, productivity, and innovation. If you're passionate about AI and its potential to revolutionize industries, this role offers a unique opportunity to be part of a team that is driving real change.

Openai's customers span a wide range of industries, from fast-growing digital natives to large global enterprises, government agencies, and educational institutions. Each engagement presents an opportunity to demonstrate the power of AI in driving business value and innovation. The AI Success Engineer role is critical in ensuring that customers derive maximum benefit from Openai's platform, through technical enablement, workflow transformation, and sustained program delivery.

What You Will Do

  • Lead the technical relationship for post-sale customers, acting as their trusted advisor on deployment, adoption, and value realization.
  • Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio of customers.
  • Conduct technical enablement and configuration sessions across Openai's broad product portfolio.
  • Identify and validate use cases by embedding with customer teams to understand their 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, aligning 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 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.

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 model behavior, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
  • Ability to translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.
  • Strong program management and customer advisory skills, with the ability to lead multiple workstreams and stakeholders.
  • Experience with Excel and other productivity tools.
  • Strong communication and interpersonal skills, with the ability to build strong relationships with executive sponsors and technical stakeholders.

Nice to Have

  • Experience working with AI and machine learning technologies, particularly in a customer-facing role.
  • Knowledge of cloud computing platforms and their integration with AI technologies.
  • Certification in AI, machine learning, or a related field.
  • Experience working in a fast-paced, dynamic environment with rapid innovation and change.

Benefits and Perks

  • Competitive compensation package, reflecting the high demand for AI specialists.
  • Opportunities for professional growth and development in a rapidly evolving field.
  • Flexible working arrangements, including remote work options.
  • Access to cutting-edge AI technologies and tools.
  • Collaboration with a talented team of professionals who are passionate about AI and its potential.
  • Comprehensive health insurance and other benefits to support your well-being.
  • Generous paid time off to ensure a healthy work-life balance.

How to Stand Out

  • Focus on showcasing your ability to translate technical concepts into business language, as this is a key requirement for the AI Success Engineer role.
  • Develop a strong understanding of Openai's product capabilities and AI technologies to stand out in your application and during interviews.
  • Prepare examples of driving technical adoption and customer success in your previous roles, highlighting your program management and customer advisory skills.
  • Ensure your resume and cover letter are tailored to the role, emphasizing relevant experience and skills such as technical account management, solutions architecture, or enterprise SaaS adoption.
  • Be ready to discuss your experience with tools like Excel and other productivity software, as these are essential for the position.
  • Research Openai and its mission to demonstrate your passion for AI and its potential to transform industries, showing how you can contribute to the company's goals.
  • Highlight any experience working with AI and machine learning technologies, especially in customer-facing roles, to demonstrate your expertise and adaptability.

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