Why This Job is Featured on The SaaS Jobs
This role stands out in the SaaS ecosystem because it sits at the intersection of API platform delivery and integrity, a core concern for any product-led service that supports external developers at scale. Within an applied engineering context, the focus on detecting misuse and protecting users reflects a mature stage of platform operations where reliability and trust become product features, not just internal safeguards.
For a long-term SaaS career, the work maps closely to problems that recur across subscription and usage-based platforms: abuse prevention, content and account integrity, and measurable risk reduction. The remit spans model development, deployment strategy, and evaluation, offering exposure to the full lifecycle of ML systems in production. Cross-functional collaboration with Product, Safety, and Policy also mirrors how modern SaaS companies operationalize governance alongside growth.
The position is best suited to experienced engineering leaders who prefer to stay close to the technical work while guiding a small group of senior ICs. It will appeal to professionals who like turning ambiguous threat landscapes into clear metrics, systems, and iteration loops, and who value coordination across disciplines as part of building dependable platform infrastructure.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the team
The Applied team safely brings OpenAI's technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity.
The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We're seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs).
In this role, you will:
Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies.
Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy.
Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements.
Utilize state-of-the-art models to detect and prevent problematic content effectively.
Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement.
Support your team's professional growth and maintain high performance through mentorship and clear career progression.
You might thrive in this role if you:
Bring extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains.
Have successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems.
Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team.
Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions.
Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues.
Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions.
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.
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