AI Success Engineer, Government

Role

The AI Success Engineer, Government is the primary post-sales technical contact for OpenAI’s government customers. The role is responsible for driving account health and adoption, ensuring technical readiness, identifying and validating use cases, leading deployments and onboarding, and delivering measurable customer impact using OpenAI’s platform.

Key Responsibilities

• Lead the technical relationship for post-sale customers, acting as trusted advisor on deployment, adoption, and value realization, including configuring and running API instances.
• Own account health, adoption velocity, and technical deployment success across a portfolio of government customers.
• Provide deep technical enablement across OpenAI products (API, agentic platform, Codex, ChatGPT Enterprise), and run configuration and training sessions.
• Teach customers to build custom GPTs, Agents, and Connectors and demonstrate full product capabilities.
• Design and lead workshops, hackathons, training sessions, and create playbooks, guides, demos, reports, and other collateral.
• Define and manage structured onboarding and deployment projects with clear milestones, KPIs, and post-deployment reporting.
• Monitor and drive activation metrics (DAU, WAU, MAU) and measure value realization against baselines.
• Coordinate across multiple workstreams and partner with Sales, Solutions Architecture, Product, Engineering, and Research; surface customer feedback and field patterns.
• Provide change management guidance to maximize adoption and run expansions by identifying high-leverage opportunities.
• Maintain and contribute to community resources (e.g., ChatGPT Gov Community) and codify best practices tailored to government customers.

Requirements

• 8+ years of experience in technical customer-facing roles such as technical account management, GenAI consulting/deployment, solutions architecture, or technical delivery leadership.
• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, integration patterns, and model behavior tradeoffs (embeddings, retrieval augmentation, fine-tuning approaches).
• Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption) and familiarity with compliance frameworks (GDPR, HIPAA).
• Familiarity with coding languages and integration technologies (Python, JavaScript, REST APIs, SDKs, CI/CD, containers, cloud platforms).
• Strong program and project management instincts; ability to lead multi-workstream initiatives and translate technical concepts into business impact.
• Experience running change management programs and embedding with customer teams to map workflows and diagnose adoption challenges.
• Excellent communication, public speaking, stakeholder management, and ability to engage audiences from executives to front-line staff.
• Evangelist-level familiarity with ChatGPT and a passion for teaching and enabling public sector users.

Compensation

• Base compensation listed: $186K–$265.5K plus equity.

Notes

• Role emphasizes high ownership, rapid decision-making, and cross-functional collaboration to achieve production deployments and customer success.