O

OpenAI

Builds AI models and the ChatGPT assistant

Dedicated Support Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$180k - $260k /yrHybrid

About the Job

Requirements

  • Significant experience in Support Engineering, Solutions Engineering, Solutions Architecture, or another role involving hands-on diagnosis of complex production issues.
  • Expert-level troubleshooting skills and a strong track record of resolving ambiguous technical problems across APIs, distributed systems, cloud infrastructure, and enterprise integrations.
  • Comfort working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
  • Experience leading or playing a central role in customer-impacting incidents, including severity assessment, technical coordination, stakeholder communication, root-cause analysis, and post-incident follow-through.
  • Ability to write code or scripts to reproduce issues, interrogate systems, automate repetitive work, and improve internal tools.
  • Ability to communicate complex technical issues clearly to engineers, customer technical teams, business stakeholders, and senior leaders, especially when information is incomplete or evolving.
  • Ability to build high-trust relationships with customers and cross-functional partners while maintaining clear and scalable ownership boundaries.
  • Ability to identify patterns beyond immediate issues, improve systems, and prevent recurrence.
  • Ability to work in ambiguity, adapt as new information emerges, and learn as needed.
  • Strong judgment and a team-oriented approach.
  • Interest in using OpenAI products, agents, and emerging artificial intelligence capabilities to transform technical support at scale.

Responsibilities

  • Troubleshoot complex technical issues for Premium Support customers, including API failures, integration challenges, authentication errors, unexpected product behavior, performance degradation, and production incidents.
  • Provide end-to-end technical ownership by analyzing logs and system behavior, reproducing errors, testing hypotheses, and isolating likely failure domains; identify root causes before escalation where possible, or provide a clear hypothesis and evidence to accelerate Engineering investigation.
  • Become an expert on OpenAI products and systems, serving as an escalation point and technical backstop for strategic customers.
  • Own the customer-specific response to high-impact incidents by assessing severity and business impact, initiating the appropriate response path, coordinating cross-functional responders, maintaining ownership, and ensuring mitigation, resolution, and post-incident follow-through.
  • Provide accurate, proactive updates to customer technical teams, business stakeholders, executives, and internal partners during periods of uncertainty.
  • Develop and document detailed knowledge of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints for Support, Product, and Engineering teams.
  • Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure commercial context informs severity, prioritization, and communication without bypassing established support processes.
  • Represent Support Engineering in customer meetings, including QBRs, and partner with account teams to communicate technical health, surface risks and blockers, coordinate follow-up, and provide clear updates.
  • Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.
  • Prepare for launches, migrations, traffic increases, and business events by developing account-specific runbooks, validating escalation paths, coordinating support readiness, and providing heightened monitoring where needed.
  • Lead or contribute to incident reviews and postmortems, identify prevention opportunities, and track corrective actions through closure.
  • Translate recurring customer pain into evidence-backed feedback for Product and Engineering, focusing on reliability and performance improvements for existing products, integrations, and deployments.
  • Turn customer investigation learnings into scalable improvements, including troubleshooting guides, monitoring, internal tooling, support workflows, and AI-powered automation.
  • Help shape the operating model, technical standards, and tooling for Premium Support as the function grows globally.

Desired Qualifications

  • Experience with Python, JavaScript, or similar programming languages.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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