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Senior Allocation Planner Jobs in Bothell, WA (NOW HIRING)

DigitalOcean

Senior Capacity Planner

Seattle, WA · Hybrid

$106K - $132K/yr

As a Senior Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to ... Make and implement recommendations on GPU server allocation across models to maximize revenue and ...

DigitalOcean

Senior Capacity Planner

Seattle, WA · On-site

$106K - $132K/yr

As a Senior Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to ... Make and implement recommendations on GPU server allocation across models to maximize revenue and ...

DigitalOcean

Senior Capacity Planner

Seattle, WA · On-site

$106K - $132K/yr

As a Senior Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to ... Make and implement recommendations on GPU server allocation across models to maximize revenue and ...

Crusoe

Senior GPU Capacity Planner

Seattle, WA · On-site

As the Senior GPU Capacity and Optimization Planner, you will own the day-to-day management, allocation, and strategic bin-packing optimization of Crusoe Cloud's high-performance GPU fleet. This is a ...

JLL

Senior Occupancy Planner

Seattle, WA

As Senior Occupancy Planner, you will support the clients occupancy strategy and space management ... allocation plans * Review Site Audit Data (including seat assignments, occupancy, vacancy, labs ...

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Senior Allocation Planner information

See Bothell, WA salary details

$55.9K

$100.3K

$139.2K

How much do senior allocation planner jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior allocation planner in Bothell, WA is $100,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $116,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Allocation Planner vs Allocation Analyst?

AspectSenior Allocation PlannerAllocation Analyst
CredentialsBachelor's degree, experience in supply chain or logistics, possibly certifications like APICS CPIMBachelor's degree, supply chain or related field, some certifications preferred
Work EnvironmentCorporate logistics or supply chain departments, cross-functional teamsData analysis teams, logistics departments, operational units
Employer & IndustryRetail, manufacturing, distribution centersRetail, manufacturing, logistics firms
Search & Comparison IntentUnderstanding senior roles, career progression, responsibilitiesEntry to mid-level analysis, data-focused tasks

The Senior Allocation Planner typically has more experience, handles complex allocation strategies, and oversees planning processes. The Allocation Analyst focuses on data analysis, supporting allocation decisions, and executing plans. Both roles are vital in supply chain management but differ mainly in seniority and scope of responsibilities.

Senior Allocation Planner jobs near you

Senior Capacity Planner

Seattle, WA • Hybrid

DigitalOcean
Software Development • 501 - 1,000 employees
Learn more about DigitalOceanexternal

$106K - $132K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Analyze usage statistics across serverless inference models to identify optimization opportunities in server assignment

  • Make and implement recommendations on GPU server allocation to maximize revenue and utilization

  • Build tools and processes to automate and streamline model-to-server assignment decisions

Job description

We are looking for a Senior Capacity Planner who is passionate about growing DigitalOcean's Serverless Instance offering through physical infrastructure optimization. 

As a Senior Capacity Planner at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. Reporting to the Capacity Planning Lead, you will drive utilization across our Serverless Instance offering by predicting customer demand shifts and following novel model releases. After establishing processes and automation, you will additionally focus on deploying new GPU hardware and working with cross functional stakeholders to optimize our physical infrastructure. 

What You'll Do:
  • Analyze usage statistics across serverless inference models and spot demand to identify optimization opportunities in server assignment
  • Make and implement recommendations on GPU server allocation across models to maximize revenue and utilization
  • Build tools and processes to automate and streamline model-to-server assignment decisions, reducing manual analysis over time
  • Maintain a deep, current understanding of the GPU hardware market - new models, availability, price/performance tradeoffs - to inform procurement and deployment decisions
  • Track rack and power capacity for GPU infrastructure across global data centers
  • Partner with DCOPS, Network Engineering, Product, and Delivery teams to plan and execute physical GPU server deployments
  • Forecast future GPU demand (both inference spot capacity and physical infrastructure) to inform procurement timelines
  • Identify opportunities to redistribute or optimize existing GPU hardware placement across racks and cabinets
  • Build dashboards and reporting to track GPU utilization, spot capacity trends, and deployment status
  • Escalate capacity risks or bottlenecks before they impact GPU availability or revenue
Key Metrics: 
  • Revenue impact from optimized serverless inference server assignment
  • Serverless inference spot capacity utilization
  • Forecast accuracy for physical GPU infrastructure needs
  • On-time delivery of GPU hardware deployments
  • Rack/power capacity utilization for GPU fleet
What You'll Add to DigitalOcean:
  • 5+ years of experience in capacity planning, infrastructure operations, or a related technical/analytical role
  • Strong understanding of the current GPU hardware market - models, vendors, availability, and performance characteristics
  • Familiarity with serverless inference workloads and spot capacity dynamics
  • Experience analyzing usage and demand data to drive resource allocation or optimization decisions
  • Strong foundation with SQL and data visualization tools (e.g. Looker, Grafana) to build reporting and models
  • Experience with, and strong interest in building, automation/tooling/AI agents to reduce manual analysis
  • Working knowledge of data center rack and power capacity planning concepts
  • Strong cross-functional communication skills, with experience partnering across DCOPS, Network Engineering, Product, and Delivery
  • Bonus: experience with data center inventory tools such as dcTrack or Netbox
Compensation Range: 
  • $106,000 - $132,000

*This is a hybrid role

JR: 2026-8183

#LI-Hybrid

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