Anthropic
AI
ProductManager,ComputePlatform
Neural analysis suggests this role is
optimal for Manager candidates.
“Product Manager, Compute Platform at Anthropic. Skills: Compute Platform, Job scheduling, Capacity management. Build scheduling systems. Build orchestration systems”
What You'll Achieve.
Maximize cluster utilization; Improve cost efficiency; Increase researcher velocity
Industry & Context.
Trade-off analysis
What They're Looking For.
Must Have
7+ years product management experience, Deep exposure to compute infrastructure, Deep exposure to distributed systems, Deep exposure to scheduling platforms, Deep exposure to orchestration platforms, Experience taking technical infrastructure products from infancy to scale, Track record of building platform products, Balance needs of multiple users, Make prioritization trade-offs, Communicate trade-offs clearly, Internalize complex technical systems, Translate technical understanding into product vision, Fluent across functions, Credible discussing scheduling algorithms, Credible discussing capacity economics, Credible discussing infrastructure strategy, Connect technical decisions to business outcomes, Scrappy and resourceful
Nice to Have
Built or scaled job scheduling systems, Built or scaled resource orchestration systems, Built or scaled workload management systems, Deep familiarity with GPU/accelerator scheduling challenges, Experience defining SLAs, Experience enforcing SLAs, Experience defining resource guarantees, Experience enforcing resource guarantees, Capacity planning experience, Scaled through hypergrowth, Experience with observability tooling, Experience with efficiency tooling
What You'll Do.
Build scheduling systems
Build orchestration systems
Build capacity management systems
Define semantic layer
Establish resource guarantees
Support diverse workloads
Manage fairness policies
Manage gang-scheduling
Build observability tools
Understand customer needs
Iterate on semantic layer
Design scheduling capabilities
Maximize cluster utilization
Honor resource guarantees
Validate job prerequisites
Drive product strategy
Own trade-off framework
Make prioritization decisions
Communicate decisions
Collaborate on capacity planning
Collaborate on demand forecasting
Collaborate on cost analytics
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with Infrastructure; Partner with Compute Operations; Partner with Engineering; Partner with Finance; Partner with Strategy; Partner with Research
Communication Scope
Communicate clearly
Process & Methodology
Roadmap
Full Job Description
About Anthropic 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. About the role As a Product Manager focused on Compute Platform, you’ll partner with Infrastructure, Compute Operations, Engineering, Finance & Strategy, and Research to build the scheduling, orchestration, and capacity management systems that power Anthropic’s compute infrastructure—the 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 Anthropic’s growing fleet of GPU and accelerator clusters—ensuring 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. You’ll drive the evolution of our compute platform to support increasingly diverse workloads—from large-scale training runs and fine-tuning jobs to real-time inference and batch evaluation—each 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 Finance—from researchers who need guaranteed resources for multi-week training runs to platform teams
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