Technical Program Manager, Fleet Management Systems

As a Technical Program Manager at OpenAI, your key responsibilities will include collaborating with engineers to maintain and serve capacity for our GPU fleet, managing and coordinating multiple projects to ensure alignment across teams, guiding the roadmap for automation, and working closely with various stakeholders to optimize resource utilization and project rollout strategies.

To become a Technical Program Manager at OpenAI, you should have a degree in a hard science or equivalent engineering expertise and at least 5 years of experience in program management, particularly with major projects. A background working in ambiguous technical environments, coupled with skills in managing cross-functional teams and complex dependencies, is also highly beneficial.

The Technical Program Manager at OpenAI plays an essential role in ensuring AI safety by managing the deployment of powerful AI systems within a well-coordinated framework. You'll work with cross-functional teams to optimize the fleet responsibly, thereby guaranteeing that our AI developments align with our core mission of promoting safety while leveraging advanced technological capabilities.

At OpenAI, the work environment for a Technical Program Manager is dynamic and collaborative. You’ll work with some of the brightest minds in AI technology within a hybrid model, spending three days a week in the office. You will be in a fast-paced setting that emphasizes creativity, innovation, and continuous learning, all while balancing responsibilities across diverse projects.

Technical Program Managers at OpenAI are offered numerous opportunities for growth, including exposure to cutting-edge AI projects, collaboration with top-tier talent, and the chance to shape AI deployment practices. OpenAI values diverse ideas and perspectives, paving the way for career development and advancement in this rapidly evolving field.

To manage competing priorities effectively, I prioritize tasks based on their impact and urgency. I regularly communicate with stakeholders to understand their needs and ensure alignment on objectives, using project management tools to track progress and adjust priorities as needed.

In a past role, I managed a complex project with tight deadlines and limited resources. I created a detailed project plan, coordinated closely with cross-functional teams, and facilitated open communication to identify and address obstacles quickly. This approach helped us successfully meet the project goals on time.

I ensure team alignment by setting clear objectives, holding regular check-ins to discuss progress, and fostering open communication. Utilizing project management tools helps keep everyone informed of changes or updates, and I encourage feedback and collaboration to maintain synergy among team members.

Building relationships with engineering teams involves active listening, understanding their challenges, and collaborating on solutions. I prioritize regular meetings to discuss concerns and foster teamwork, demonstrating openness and support for their ideas, which helps in creating a cohesive work environment.

I have extensive experience working with GPU-based infrastructure, including managing deployment, optimization, and maintenance of GPU clusters. My background includes coordinating with hardware and data teams to ensure optimal utilization and high-performance outcomes in AI workloads.

To stay updated, I regularly read industry publications, attend workshops and conferences, and participate in professional networks. This engagement helps me understand emerging technologies, trends in AI, and best practices in program management.

My experience with multi-organizational collaboration includes coordinating projects across various departments and aligning goals. I establish communication channels, utilize collaboration tools, and create joint meetings to ensure all teams are informed and invested in project success.

Data plays a critical role in my decision-making process. I rely on data analytics to inform project priorities, evaluate performance metrics, and measure the success of initiatives. Incorporating data-driven insights helps ensure that decisions are based on facts rather than assumptions.

To drive project delivery on time, I employ agile methodologies that allow for incremental progress and flexibility in addressing issues. Setting clear milestones, continuously monitoring progress, and being proactive in troubleshooting challenges are key methods I utilize to stay on schedule.

I handle risks in program management by identifying potential challenges early on, assessing their impact, and developing mitigation strategies. Regular risk assessments and fostering a culture of transparency within the team allow for proactive risk management and swift responses when issues arise.