Product Manager, Compute Platform

About Anthropic

Anthropics 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.

About the role

As a Product Manager focused on Compute Platform youll partner with Infrastructure Compute Operations Engineering Finance & Strategy and Research to build the scheduling orchestration and capacity management systems that power Anthropics compute infrastructurethe foundation on which every model training run evaluation and inference workload depends:

• Partner with Infrastructure to build the systems that determine how jobs are scheduled prioritized and allocated across Anthropics growing fleet of GPU and accelerator clustersensuring the right workloads run on the right hardware at the right time.
• Your work directly impacts cluster utilization cost efficiency and researcher velocity: defining the semantic layer for job scheduling establishing resource guarantees and making the trade-offs that keep our infrastructure running at peak capacity.
• Youll drive the evolution of our compute platform to support increasingly diverse workloadsfrom large-scale training runs and fine-tuning jobs to real-time inference and batch evaluationeach with distinct scheduling requirements priority levels and resource profiles.
• You will define and own the strategy and roadmap across job scheduling primitives capacity allocation policies preemption and fairness frameworks quota management and the observability tooling that gives engineering and leadership confidence in how compute resources are being used.

Responsibilities:

• Deeply understand the needs of internal customers across Research Infrastructure Product and Financefrom researchers who need guaranteed resources for multi-week training runs to platform teams managing inference workloads with strict latency SLAs.
• Define and iterate on the semantic layer for job scheduling: the abstractions priority tiers resource classes and preemption policies that govern how work flows through our compute clusters.
• Partnering with engineering leads to design scheduling capabilities that maximize cluster utilization while honoring resource guaranteesensuring jobs have the right prerequisites (data checkpoints hardware affinity) validated before launch to avoid wasted compute.
• Drive product strategy and roadmap for compute capacity management including quota systems fairness policies bin-packing optimizations and gang-scheduling for distributed workloads.
• Own the trade-off framework between utilization efficiency job latency cost and reliabilitymaking transparent prioritization decisions and communicating them clearly to senior leadership.
• Collaborate with the Capacity Strategy & Operations team on capacity planning models demand forecasting and cost-to-serve analytics that inform infrastructure investment decisions.
• Build and champion observability tools and dashboards that provide real-time visibility into cluster health queue depth scheduling efficiency and resource waste.

You may be a good fit if you have:

• 7 years of product management experience with deep exposure to compute infrastructure distributed systems or scheduling/orchestration platforms
• Experience taking technical infrastructure products from infancy to scaleyouve built something from the ground up and grown it to serve demanding internal or external customers
• Track record of building platform products that balance the needs of multiple users and stakeholdersyoure comfortable making prioritization trade-offs between utilization latency cost and fairness and communicating them clearly
• Ability to internalize complex technical systems (job schedulers cluster managers resource orchestrators) and translate that understanding into a comprehensive product vision
• Fluent across functionsyoure equally credible discussing scheduling algorithms with engineers capacity economics with finance and infrastructure strategy with leadership
• Strong instinct for connecting technical decisions to business outcomes: every percentage point of cluster utilization has measurable impact
• Scrappy and resourcefulyou do what it takes to get things done in a fast-moving environment

Strong candidates may have:

• Built or scaled job scheduling resource orchestration or workload management systems for large-scale compute clusters (e.g. Kubernetes Slurm Borg YARN or custom schedulers).
• Deep familiarity with GPU/accelerator scheduling challenges including gang-scheduling topology-aware placement preemption and hardware affinity constraints.
• Experience defining and enforcing SLAs and resource guarantees for compute workloadsincluding mechanisms to validate job prerequisites (data readiness checkpoint availability hardware compatibility) before scheduling to avoid wasted resources.
• Capacity planning experience across cloud and on-premises infrastructure including cost modeling demand forecasting and vendor management for compute procurement.
• Scaled through hypergrowth in compute-intensive environments (AI/ML HPC large-scale cloud infrastructure).
• Experience with observability and efficiency tooling for distributed infrastructurebuilding dashboards automation and governance workflows that drive utilization and cost accountability.

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We 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. Were 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 aboutour policyfor using AI in our application process