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CrusoeCrusoeSan Francisco, CA

Senior Product Manager, Orchestration

Senior Product Manager owning Kubernetes-based orchestration for Crusoe's AI infrastructure, including cluster lifecycle, node pools, workload scheduling, Slurm on Kubernetes, and customer APIs. Requires 5+ years technical PM experience, deep Kubernetes/distributed systems fluency, and strong judgment balancing reliability with customer needs for large-scale GPU workloads.

170k – 205k/yr
On-site5+ YOEProduct Management

About the role

What You'll Be Working On

Own Major Orchestration Product Areas

  • Take end-to-end ownership of substantial product surfaces, including their roadmap, outcomes, priorities, quality, and continued improvement.

Develop Durable Technical Product Designs

  • Turn complex infrastructure problems into clear requirements and coherent system behavior, including APIs, lifecycle states, failure handling, upgrades, and customer controls.

Partner Closely With Engineering

  • Work directly with engineers throughout discovery, design, implementation, and validation to resolve ambiguity and shape high-quality solutions.

Establish a High Product-Quality Bar

  • Pressure-test designs, evaluate working software, examine edge cases and failure modes, and ensure the product is ready before broad customer release.

Understand Customers and Operators

  • Work with customers and internal teams to identify underlying problems and translate them into broadly useful, technically sound product improvements.

Make Disciplined Product Investments

  • Prioritize work based on customer value, reliability, differentiation, engineering cost, and operational burden, then measure whether those investments delivered the intended results.

Coordinate Across the Cloud Platform

  • Establish clear interfaces and responsibilities across infrastructure, networking, storage, identity, observability, capacity, and workload teams.

Communicate Clearly

  • Produce precise requirements and decision documents, and explain technical trade-offs and business implications to diverse stakeholders.

What You'll Bring to the Team

  • AI and Machine Learning Infrastructure: Understand how training, fine-tuning, inference, checkpointing, and GPU-intensive workloads interact with orchestration systems.
  • Strong Technical Fluency: Significant experience with Kubernetes, cloud infrastructure, distributed systems, workload orchestration, or related technologies.
  • Technical Product Management Experience: Five or more years of experience owning complex technical products or infrastructure initiatives from definition through delivery and iteration.
  • Systems Thinking and Attention to Detail: Ability to reason through APIs, lifecycle states, failure modes, upgrades, operational workflows, and dependencies across distributed systems.
  • Strong Product Judgment: Ability to balance customer value, reliability, engineering cost, operational complexity, and long-term maintainability when making product decisions.
  • Ownership and Execution: Track record of independently driving ambiguous, cross-functional initiatives to clear decisions and high-quality outcomes.
  • Clear Communication and Collaboration: Ability to work closely with engineers, document decisions precisely, and create alignment across technical and nontechnical teams.

Bonus Points

  • High-Performance Computing experience with HPC environments, Slurm or similar workload managers, specialized networking, or large accelerator clusters.
  • Infrastructure Operations: operated or supported production infrastructure and understand impact of product decisions on reliability, upgrades, debugging, and incident response.
  • Builder Orientation: enjoy using infrastructure products directly, examining APIs, and experimenting with systems to develop grounded product opinions.

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation Range Compensation will be paid in the range of $170,000 to $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Skills

KubernetesCloud InfrastructureDistributed Systemsworkload orchestrationslurmAI Infrastructuremachine learning infrastructurehpcAPIsgpu workloads
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