Dedicated Support Engineering Lead

OpenAI•San Francisco, CA

1d•$347,000 - $385,000•Hybrid

About The Position

We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI. This role combines organizational leadership, technical judgment, and executive customer engagement. You will establish a model in which DSEs develop deep customer context, independently advance difficult investigations, anticipate operational risks, and drive issues through resolution. You will also turn what the team learns into improvements that benefit customers across OpenAI. Success requires a strong foundation in production troubleshooting and reliability, alongside the ability to build trusted relationships with customer engineering leaders and executives. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

Have 12+ years of experience in technical customer-facing roles, including 6+ years of leadership responsibility for enterprise Support Engineering, Technical Account Management, or a comparable function supporting complex production environments.
Have built or materially scaled a dedicated technical customer program, with ownership of its service model, staffing, delivery standards, and outcomes.
Bring experience leading senior engineers and developing technical leaders across regions, with a clear approach to hiring, coaching, and performance.
Have a strong technical foundation in APIs, distributed systems, cloud infrastructure, and enterprise integrations. You can evaluate investigation quality, challenge hypotheses, and guide teams through ambiguous failures.
Have maintained long-term technical relationships with strategic enterprise customers, connecting architecture and workload context to business impact and operational priorities.
Have led high-stakes customer escalations and can earn trust with both engineering teams and executives while communicating uncertainty accurately.
Can influence senior stakeholders across organizational boundaries, resolve competing priorities, and translate customer evidence into concrete technical and operational changes.
Have demonstrated sound judgment in balancing customer commitments, service quality, staffing, and the economics of a growing support function.
Have delivered measurable improvements through automation or AI and can distinguish promising experiments from capabilities ready for dependable customer use.
Are comfortable establishing direction in ambiguity, taking accountability for difficult decisions, and building a team that operates with curiosity, humility, and urgency.

Responsibilities

Set the strategy for Dedicated Support Engineering. Define the function’s charter, service model, priorities, and growth plan. Translate customer needs and company priorities into clear decisions about where to invest and how to scale.
Build and develop a high-performing global organization. Hire and coach senior technical talent, develop future leaders, and establish expectations for technical depth, customer ownership, collaboration, and performance.
Design the customer engagement model. Establish how DSEs are assigned to customers, build account knowledge, conduct operational reviews, and prepare for critical events. Define clear responsibilities and handoffs with Support, Technical Success, Sales, and Engineering.
Set the standard for technical ownership. Ensure the team uses evidence, reproduction, and systems-level investigation to advance complex issues. Develop the team’s judgment on when to continue investigating, mitigate, or engage Engineering, and stay close enough to the work to guide difficult decisions.
Build proactive reliability into the service. Establish practices for assessing customer architectures and dependencies, identifying emerging risks, and preparing for launches, migrations, and traffic growth. Ensure incident learnings lead to completed corrective actions.
Lead through critical customer situations. Serve as a senior escalation point, align responders across teams, and communicate clearly with customer executives. Maintain accountability for the customer’s support experience through mitigation, resolution, and follow-through.
Own delivery quality and sustainable growth. Build capacity plans, coverage arrangements, and investment proposals that support service commitments. Balance customer complexity, team workload, and time for proactive work as the customer portfolio grows.
Define and measure meaningful outcomes. Establish measures of investigation quality, time to mitigation, recurring issue reduction, customer confidence, and proactive risk reduction. Use these insights to improve the service and guide investment.
Influence product and engineering priorities. Turn patterns across customer investigations into evidence-backed recommendations. Build alignment with senior partners on reliability, observability, supportability, and tooling improvements.
Make AI and automation foundational to the function. Apply OpenAI’s technology to preserve customer context, accelerate investigations, detect risks, and automate repeatable work. Establish evaluations and human oversight so these capabilities improve quality and customer trust.