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Support Operations Lead

OpenAI

Company websiteopenai.com (OpenAI, opens in new tab)

Base salary $279K  to $310K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About the Team

The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. 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 individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI.

About the Role

We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale.

This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space.

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. 1-2 weeks of travel per quarter may be required.

In this role, you will:

  • Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains.

  • Lead multi-site partner management, including commercial ownership, capacity planning and workforce management, QBRs, and performance recovery.

  • Own end-to-end service governance for partner and vendor teams, including automation rate, cost to serve, first-response time, productivity, and quality.

  • Set standards for how work gets done at scale, replacing one-off fixes with reusable systems.

  • Upskill teams and partner with Automation Engineering, Support Engineering, and Fraud & Risk to embed LLM-powered tools into frontline workflows.

You might thrive in this role if you:

  • Have 10+ years of experience in support operations including 4+ years leading senior individual contributors with a strong track record of coaching, driving accountability, and improving performance and automation adoption at scale.

  • Are comfortable managing a team while staying hands-on in solving ambiguous operational problems.

  • Are fluent in operational data and technical collaboration, able to define metrics, interpret dashboards, design experiments, and partner with engineering and data teams to turn ambiguous support problems into scalable systems.

  • Think in systems, using process design, data, tooling, and automation to reduce manual work and create durable capacity.

  • Can partner credibly with technical teams and translate support needs into clear requirements, owning problem definition, adoption, change management, and operational outcomes.

  • Are energized by building structure in a high-growth environment where the support model, tooling, and partner strategy are still evolving.

  • Have scaled support operations through organizational design and tooling in a high-growth technology company without compromising quality.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Source: OpenAI on Ashby · View original posting (opens in new tab)

This range next to 6 other live OpenAI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live OpenAI roles with the nearest advertised base floor
RolePublished base
Support Operations Lead (this listing)$279K - $310K
Product Engagement Manager, User Operations$279K - $310K
Senior Counsel, Corporate (M&A)$280K - $350K
Support Delivery Lead, Government$284K - $315K
Dedicated Support Engineering Lead$284K - $385K
Support Delivery Lead, Ads$284K - $315K
Support Delivery Lead$284K - $315K

Same $100K to $400K scale as every card. All OpenAI roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-07-13
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 279,000 – 310,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.