Technical Program Manager, Research

As a Technical Program Manager at Anthropic, you will oversee various post-training research initiatives. This involves collaborating with engineers and researchers to execute training plans, leading infrastructure improvement initiatives for reinforcement learning, and managing the workflow for complex training runs. You will ensure alignment across technical teams and provide detailed progress reports on technical risks and dependencies.

To be a good fit for the Technical Program Manager position at Anthropic, candidates should have several years of experience in technical program management, especially in AI development or ML engineering. A Bachelor's degree or equivalent experience is required, alongside strong communication skills, the ability to manage multiple projects, and a deep understanding of machine learning concepts.

The expected salary range for a Technical Program Manager at Anthropic is between $290,000 and $365,000 annually. This range reflects our commitment to rewarding skilled professionals who contribute to our mission of developing reliable and beneficial AI systems.

At Anthropic, we believe in fostering a collaborative and inclusive workplace culture. As a Technical Program Manager, you will work within a cohesive team that values diverse perspectives, open communication, and shared goals. We also offer benefits like flexible working hours and generous vacation policies to support the well-being of our employees.

Yes, Anthropic does provide visa sponsorship for the Technical Program Manager position, subject to certain conditions. While we strive to assist with the visa process for successful candidates, we encourage all applicants to apply, regardless of their current visa status, as we value diverse talent.

When answering this question, highlight a specific project that required you to coordinate multiple teams and navigate challenges. Focus on your role in driving the project forward, the technical aspects involved, and how you ensured that the teams stayed aligned towards their objectives.

Discuss your approach to task prioritization, mentioning methodologies like Agile or Kanban if relevant. Explain how you assess project timelines, team capacities, and stakeholder needs to determine which tasks take precedence without causing bottlenecks.

Emphasize your ability to tailor your communication style depending on the audience. Mention specific tools or practices you utilize to facilitate clear discussions, such as regular check-ins or documented progress updates that are accessible to all stakeholders.

Discuss your proactive approach to risk management, which could involve regular risk assessments, stakeholder involvement, and maintaining a risk register. Highlight how you develop contingency plans to mitigate identified risks before they escalate.

In your response, focus on the lesson learned from the experience. Explain how you approached the unplanned challenges, engaged your team to brainstorm solutions, and made adjustments to course-correct while maintaining stakeholder alignment.

Share specific metrics you track to gauge project success, such as timelines, quality outcomes, and stakeholder satisfaction. Mention the importance of post-mortem evaluations for continuous improvement of future projects.

Describe your proactive steps in staying informed about industry trends, such as following reputable journals, participating in webinars, or engaging with the AI community. Highlight how this knowledge influences your program management approach.

Discuss your strategies for fostering trust and collaboration with research teams. Mention specific actions you take, like regular check-ins, understanding their workflows, and being an advocate for their needs as they navigate the complexities of their projects.

Explain your method of diving into the details to clarify requirements, such as holding workshops with stakeholders or leveraging your technical background to frame open-ended discussions that draw out necessary specifics.

Share your relevant experience with reinforcement learning, including specific projects or techniques you've worked with. Discuss how your knowledge will enhance the effectiveness of post-training initiatives at Anthropic, reinforcing your capability to contribute to their goals.