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ABOUT THE ROLE:
As a Product Engagement Specialist on the User Operations team, you will help shepherd smooth, successful product launches across internal support teams and external partners. You will coordinate readiness efforts end-to-end while also building scalable systems that increase the efficacy of that end-to-end process. This is a high horsepower role spanning launch execution, enablement, and systems building—focused on durable mechanisms, rather than brute forcing your way into a successful launch.
This role is based in San Francisco, CA (hybrid: 3 days in office) and offers relocation assistance.
IN THIS ROLE, YOU WILL:
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Coordinate product launches across both internal and external teams to ensure seamless execution and support readiness.
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Build the mechanisms that make launches and feedback scalable; automation, playbooks, operating procedures, taxonomies, dashboards, and routing so your impact compounds over time instead of resetting every launch.
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Prototype and implement automation (scripts, queries, dashboards, low-code tools, and LLM-enabled workflows) to replace manual launch and feedback processes.
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Develop scalable feedback loops that ingest signals from support channels and partners, normalize them into durable categories/severity, and route insights to Product and Engineering owners.
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Identify launch risks early and drive mitigation plans that protect customer experience and service levels.
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Collaborate cross-functionally with Product, Engineering, Marketing, Legal/Policy, and Operations to align on launch goals, timelines, and readiness metrics.
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Report on readiness and feedback loop performance, including key insights, trends, and prioritized recommendations.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
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Have experience coordinating product launches or operational rollouts, especially adjacent to customer support teams and/or external partners.
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Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines).
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Are technically fluent and comfortable prototyping with data and with new tools.
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Have a strong customer advocacy mindset and can translate user pain into crisp, engineering-ready problem statements.
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Are highly organized, can manage multiple workstreams, and thrive in fast-paced environments with shifting priorities.
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Communicate clearly across technical and non-technical audiences, and drive alignment without relying on heavy process.
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Take ownership from an ambiguous problem through implementation and measurable outcomes.
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.
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About OpenAI

OpenAI
Series CCreating safe AGI that benefits all of humanity.
1,500+
Employees
San Francisco
Headquarters
$80B
Valuation
Reviews
3.7
17 reviews
Work Life Balance
2.5
Compensation
4.2
Culture
2.8
Career
3.5
Management
2.2
35%
Recommend to a Friend
Pros
High compensation and equity packages
Prestigious company reputation in AI
Cutting-edge AI research opportunities
Cons
Company losing competitive edge to rivals
Poor management and leadership decisions
Declining prestige and market position
Salary Ranges
132 data points
Junior/L3
Mid/L4
Junior/L3 · Project Manager
0 reports
$163,200
total / year
Base
-
Stock
-
Bonus
-
$138,720
$187,680
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Recruiter Outreach
2
Technical Phone Screen
3
Take-home Assignment
4
5-person Panel Interview
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