Dedicated Support Engineer - San Francisco

We Love AI Jobs; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

OpenAI's OpenAI User Operations team seeks a Dedicated Support Engineer in San Francisco to diagnose complex technical issues and manage production incidents. You’ll investigate customer systems, coordinate with internal teams, and improve monitoring, runbooks, and support processes to prevent recurring problems.

You’ll work in a hybrid setup with strategic customers, owning end-to-end incident handling and proactive reliability work to reduce day-to-day support effort over time.

Qualifications

• Experience diagnosing complex customer issues across systems and APIs.
• Ability to analyze logs, metrics, and traces to identify root causes.
• Proven incident management skills with cross-functional coordination.

Responsibilities

• Troubleshoot complex customer issues by analyzing logs and reproducing errors.
• Coordinate customer responses to high-impact incidents through mitigation, resolution, and post-incident follow-through.
• Turn recurring problems into preventive improvements, including runbooks, monitoring, tooling, and automation.

Skills

Technical troubleshooting

APIs

Distributed systems

Cloud infrastructure

Logs metrics traces

Authentication flows

Incident management

Customer integrations

Job description

# Dedicated Support Engineer - San FranciscoOpenAISan Francisco (Hybrid)Full-time$180,000 – $260,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis support engineering role helps OpenAI’s strategic customers diagnose complex technical issues and manage production incidents. You’ll investigate customer systems and integrations, coordinate with internal teams, and improve monitoring, runbooks, and support processes to prevent recurring problems.* Permanent* Hybrid### Skills and expertiseTechnical troubleshootingAPIsDistributed systemsCloud infrastructureLogs, metrics, and tracesAuthentication flowsIncident managementCustomer integrations### Key responsibilities* Troubleshoot complex customer issues by analyzing logs, reproducing errors, and identifying likely causes.* Coordinate customer responses to high-impact incidents through mitigation, resolution, and post-incident follow-through.* Turn recurring problems into preventive improvements, including runbooks, monitoring, tooling, and automation.## How this job comparesCompared with 505 open mid-level customer success jobs on October 10, 2026.Pay: This job pays $180K to $260K a year. The 123 open mid-level customer success jobs that publish US pay start at $113K on average, so this job starts about 59% higher.Similar open jobs: We Love AI Jobs lists 505 open mid-level customer success jobs at 185 companies.Remote work: This job is hybrid. 120 of the 505 mid-level customer success jobs (24%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role provides technical support for OpenAI products and uses automation and agents to improve support. Its main focus is customer troubleshooting and reliability rather than building AI systems.## Full descriptionAbout the TeamOpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleThe Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support.We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution.Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support them decreases through better monitoring, runbooks, automation, and preventative improvements.In this role, you will:• Work directly with Premium Support customers to troubleshoot their most complex technical issues, 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 the likely failure domain. Where possible, you’ll identify the root cause before escalating to Engineering; where that is not possible, you’ll provide a clear hypothesis and the evidence needed to accelerate Engineering’s investigation.• Become a trusted expert on OpenAI’s products and systems, serving as a critical escalation point and a technical backstop for our most strategic customers.• Own the customer-specific response to high-impact incidents. You’ll assess severity and business impact, initiate the appropriate response path, coordinate cross-functional responders, maintain clear ownership, and ensure issues move through mitigation, resolution, and post-incident follow-through.• Communicate clearly and proactively during periods of uncertainty, providing accurate updates to customer technical teams, business stakeholders, executives, and internal partners.• Develop a detailed understanding of each customer’s architecture, integrations, dependencies, critical workloads, and operational constraints. You’ll document this context and make it accessible to Support, Product, and Engineering teams.• Partner with Go-to-Market and Technical Success teams to understand the business importance of customer workloads and ensure that relevant commercial context informs severity, prioritization, and communication without bypassing established support processes.• Represent Support Engineering in relevant customer meetings, including QBRs, and partner closely with account teams to communicate technical health, surface risks and blockers early, coordinate follow-up, and provide customers and internal stakeholders with clear, proactive updates.• Monitor customer integrations and support trends to identify emerging risks, recurring failure patterns, and readiness gaps before they become major escalations.• Prepare for important 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 opportunities to prevent recurrence, and track corrective actions through closure.• Translate recurring customer pain into clear, evidence-backed feedback for Product and Engineering, with a particular focus on improving the reliability and performance of existing products, integrations, and deployments.