Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As a Technical Program Manager for the Compute team, you'll drive the execution of Anthropic's compute capacity planning and allocation. You'll work closely with research teams, systems engineering, and the capacity engineering team to coordinate compute transitions, optimize resource utilization, and ensure smooth migrations between compute environments. This role is critical in operationalizing our strategic compute plans and orchestrating changes in our compute capacity.
Responsibilities:- Partner with capacity engineers to understand and execute compute transition plans, including coordinating workload migrations and infrastructure spin-up/spin-down
- Build and maintain relationships with research teams to deeply understand their compute requirements, dependencies, and constraints
- Create and track detailed execution plans for compute transitions, ensuring clear timelines and dependencies across teams
- Collaborate with Systems teams to coordinate technical implementation of compute infrastructure changes
- Develop processes to better track and document team-specific compute requirements and usage patterns
- Help research teams plan and execute migrations between compute environments with minimal disruption
- Partner with capacity engineers to implement and drive adoption of self-service efficiency tools
- Maintain clear documentation of compute allocation plans and team requirements
- Have several years of technical program management experience, ideally in infrastructure or platform engineering
- Are skilled at coordinating complex technical projects across multiple engineering teams
- Have experience working with research teams and translating their needs into concrete technical requirements
- Are comfortable diving deep into technical details while maintaining a high-level view of program status
- Have strong communication skills and can effectively engage with both technical and non-technical stakeholders
- Are experienced with cloud infrastructure concepts and terminology
- Are highly organized and can manage multiple parallel workstreams effectively
- Have a track record of building trust with engineering teams and driving technical changes through influence
- Bonus: Experience with ML infrastructure, high-performance computing, or resource capacity planning
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
