Scaled AI Success Engineer · OpenAI

Fri, 24 Apr 2026 12:20:09 GMT
Engineering

OpenAI · San Francisco; New York City; Remote - US · $185K – $260K · hybrid

As a Scaled AI Success Engineer at OpenAI, you will be responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI's ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

Key responsibilities include:

Owning post-sale technical success, adoption, and value realization across a large portfolio of customers

Acting as a trusted advisor on deployment health, adoption strategy, and value realization for ChatGPT, API, Codex, and related capabilities

Using logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and guide practical recommendations on latency, reliability, model choice, prompting, cost efficiency, and rollout readiness

Leading targeted interventions for moments that matter - launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities

Translating customer goals into prioritized adoption plans, success milestones, and measurable KPIs that can be executed through a mix of direct engagement, scaled programs, and cross-functional support

To succeed in this role, you will need:

6+ years of experience in technical customer-facing roles such as technical account management, technical success, technical consulting, solutions architecture, technical delivery leadership, or enterprise SaaS / AI adoption

Strong working knowledge of OpenAI product capabilities, APIs, connectors, and common deployment patterns, and able to explain model behavior, limitations, and tradeoffs in practical business terms

Technically fluent enough to engage credibly with customer technical teams and interpret logs, telemetry, usage data, and system behavior, without needing to be the primary implementation owner

Ability to reason through production tradeoffs such as latency, cost, quality, prompting, routing, rate limits, retrieval, caching, and reliability, and turn those into practical recommendations

Strong portfolio prioritization instincts and judgment about where direct engagement will create the most customer and business impact

Excellent project and program management instincts, with the ability to drive multiple workstreams with clarity and structure

Strong communicator who can move fluidly between executive conversations about business impact and technical conversations about optimization, risks, and constraints

Operate with high ownership and can manage ambiguity, fast decision making, and dynamic customer needs

Have a strong record of driving measurable adoption, deployment health, and customer value for large enterprise customers with complex stakeholder environments

Have experience building repeatable playbooks, processes, or operating mechanisms that scale impact across many customers, not just through individual heroics

Know when to solve independently and when to pull in Solutions Architecture, Engineering, Product, or other specialist teams