Anthropic

AI

ProductManager,ComputePlatform

$305–385k New York, New York, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

AI
Problems you'll solve

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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