OpenAI

2 days ago

AI Success Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Own post-sale customer success for key OpenAI accounts in Singapore, driving account health, technical readiness, and adoption velocity. Lead technical enablement and configuration across OpenAI’s platform, map workflows by embedding with customer teams, and build actionable adoption roadmaps with KPIs. Coordinate across Sales, Solutions Architecture, Product, Engineering, and Research to guide high-impact use cases through deployment and measurable value realization.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the technical post-sales relationship, serving as a trusted advisor on deployment, adoption, and value realization.
•Own account health, adoption velocity, and ongoing technical deployment success across a portfolio.
•Conduct technical enablement and configuration sessions across OpenAI’s product portfolio.
•Identify and validate use cases by embedding with customer teams to understand workflows, requirements, and pain points.
•Translate customer objectives into an adoption roadmap with sequencing, milestones, and KPIs, and guide value realization through baselines and post-deployment reporting.

Key Requirements

•8+ years of experience in technical customer-facing roles such as technical account management, solutions architecture, technical delivery leadership, or enterprise SaaS adoption.
•Fluency in Mandarin.
•Deep, hands-on knowledge of OpenAI product capabilities including APIs, SDKs, connectors, and common integration patterns.
•Strong ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and fine-tuning/custom model usage.
•Excellent project and program management instincts to lead multi-workstream initiatives with clarity and structure.

Experience:GenAIEnterprise SaaSTechnical customer success

Skills:Project managementProgram managementTechnical leadershipCustomer advisoryStakeholder management

Languages:Mandarin

Tech Stack:APIsSDKsConnectorsEmbeddingsRetrieval augmentationFine-tuning

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 days ago

AI Success Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the technical post-sales relationship, serving as a trusted advisor on deployment, adoption, and value realization.
•Own account health, adoption velocity, and ongoing technical deployment success across a portfolio.
•Conduct technical enablement and configuration sessions across OpenAI’s product portfolio.
•Identify and validate use cases by embedding with customer teams to understand workflows, requirements, and pain points.
•Translate customer objectives into an adoption roadmap with sequencing, milestones, and KPIs, and guide value realization through baselines and post-deployment reporting.

Key Requirements

•8+ years of experience in technical customer-facing roles such as technical account management, solutions architecture, technical delivery leadership, or enterprise SaaS adoption.
•Fluency in Mandarin.
•Deep, hands-on knowledge of OpenAI product capabilities including APIs, SDKs, connectors, and common integration patterns.
•Strong ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and fine-tuning/custom model usage.
•Excellent project and program management instincts to lead multi-workstream initiatives with clarity and structure.

Experience:GenAIEnterprise SaaSTechnical customer success

Skills:Project managementProgram managementTechnical leadershipCustomer advisoryStakeholder management

Languages:Mandarin

Tech Stack:APIsSDKsConnectorsEmbeddingsRetrieval augmentationFine-tuning

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor