AI Support Engineer, Biosciences - San Francisco

About The Team

OpenAI’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.

About The Role

We are looking for an experienced, hands-on support leader to build and run the support and escalation motion for GPT-Rosalind and OpenAI’s life sciences customers. This is both a builder role and a frontline support role. You will work directly with customers, own complex cases, diagnose technical and operational issues, and coordinate cross-functional teams through resolution.

• Create the intake paths, playbooks, knowledge, tooling, and operating mechanisms needed to support life sciences workflows across ChatGPT, Codex, and the OpenAI API.
• Partner closely with Account Directors, Product, Engineering and Forward Deployed Engineering, Security, Legal, and bioscience subject-matter experts.
• Help customers receive coordinated, accurate answers while maintaining clear boundaries between technical support, scientific consultation, product feedback, and roadmap commitments.

Responsibilities

You will work directly with Rosalind and life sciences customers, taking ownership of complex technical and operational support cases from intake through resolution.

• Diagnose and resolve issues involving onboarding, workspace creation, access and permissions, API and organization configuration, model availability, sandbox or environment setup, and other product configuration questions.
• Support customer workflows across ChatGPT, Codex, and the OpenAI API, including questions about tool access, environment constraints, reproducibility, product behavior, and responsible model usage.
• Create bioscience-aware intake flows, diagnostic procedures, routing logic, escalation paths, playbooks, response templates, and internal and customer-facing knowledge content.
• Determine whether an issue requires technical support, workflow enablement, scientific consultation, solutions architecture, product feedback, or another specialized response, and route it to the appropriate owner without losing context or accountability.
• Cook up complex escalations across Product, Engineering, Forward Deployed Engineering, Security, Legal, Account Directors, and bioscience subject-matter experts, providing clear handoffs and driving cases through closure.
• Maintain appropriate boundaries around scientific guidance: support standard Rosalind usage and technical workflows while engaging qualified bioscience experts for novel scientific consultation, research optimization, or domain-specific validity judgments.
• Identify recurring issues across scientific workflows, specialized tooling, access and provisioning, governance, and product usage, then turn those patterns into durable fixes, better documentation, and product improvements.
• Build a repeatable customer-feedback loop that captures and synthesizes bugs, product gaps, and unmet needs for the Rosalind, Product, and Engineering teams.
• Use AI, automation, and lightweight technical solutions to improve triage, routing, case summarization, knowledge management, and support quality.
• Help define the long-term operating model, service levels, coverage requirements, and specialization strategy for biosciences support.
• Foster a supportive, rigorous, and customer-focused culture within User Operations.

Qualifications

You Might Thrive In This Role If You Have 8+ years of experience in technical support, support engineering, escalations, technical account management, solutions operations, product operations, incident management, or a related customer-facing technical role.

• Bring meaningful familiarity with life sciences disciplines or workflows, such as computational biology, bioinformatics, genomics, transcriptomics, drug discovery, or related fields.
• Rapidly understand and triage questions involving scientific tools and workflows while recognizing when specialized scientific expertise is required.
• Have experience supporting enterprise customers through complex technical configuration issues involving access, permissions, environments, APIs, security, or governance.
• Show strong technical troubleshooting and root-cause analysis skills, including the ability to investigate novel or poorly defined problems.
• Communicate clearly and credibly with scientists, platform administrators, engineers, Product teams, Security, Legal, and go-to-market partners.
• Demonstrate a track record of building playbooks, intake systems, escalation paths, knowledge programs, reporting, or other foundations for a new or rapidly scaling support function.
• Exercise sound judgment when distinguishing among break-fix support, workflow enablement, scientific consultation, product feedback, and roadmap requests.
• Thrive in ambiguity, create structure where processes and ownership are still emerging, and remain effective while priorities evolve.
• Build strong relationships with customers and cross-functional partners and can lead complicated issues to resolution without relying solely on formal authority.
• Are comfortable using tools such as ChatGPT, Codex, APIs, scripting, or automation to improve repetitive operational work.
• Approach unfamiliar problems with humility, curiosity, and a willingness to learn whatever is needed to help customers and teammates succeed.
• Balance frequent context switching and broad ownership with careful prioritization, clear communication, and consistent follow-through.

Preferred Qualifications

• Experience supporting software, data, or AI products used in regulated or security-sensitive scientific environments.
• Experience working with computational research environments, scientific software, cloud platforms, APIs, or data-intensive workflows.
• A degree or equivalent practical experience in a life sciences, computational, engineering, or other relevant technical field.