1 week ago

Operations Manager

Colorkrew Inc.

Amsterdam

1 week ago

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Operations Manager

Peddler is seeking an Operations Manager to help engineer and scale its sustainable last-mile delivery network in the Netherlands. The role focuses on forecasting parcel volumes, capacity planning, resource allocation, and building scalable operational processes. Requires 3+ years of experience in logistics, engineering, operations, or supply chain, with strong analytical skills and professional fluency in English.

AI-enabledOn-siteFull-timeMid LevelOperational ForecastingCapacity Planning

Operations Manager

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AI-enabledOn-siteFull-timeMid LevelOperational Forecasting

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site, based in the Netherlands, 40 hours per week

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of experience in logistics, engineering, operations, supply chain, capacity management or a similar data-driven environment

Core Qualifications

Technical (Must-have)

Operational forecastingCapacity planningResource allocationLogistics flowsData analysisAITime-series forecastingAutomationAnalytical toolsSupply chain management

Soft Skills

Analytical thinkingProblem-solvingOwnershipContinuous improvementCommunicationCuriosityStructuredHands-on

Preferred Qualifications

Technical (Nice-to-have)

Dutch

Key Responsibilities

•Translate expected parcel volumes into the capacity and resources required across Peddler’s network.
•Forecast parcel injection by client, geography and service using operational data and AI-supported tools.
•Plan rider hours, hub and DSP capacity, mid-mile movements and other operational resources.
•Develop innovative models, tools and scenarios that improve forecasting, capacity planning and decision-making.
•Work with Tech and Operations to build scalable planning systems and reduce manual work.
•Monitor actual volumes and capacity against forecasts, adjust plans quickly and continuously improve planning assumptions.
•Ensure the right resources are available in the right place, at the right time and at the right cost.
•Build and continuously improve the models, processes and workflows that connect volume → capacity → resources → execution.
•Identify bottlenecks and capacity constraints across hubs, rider operations, DSPs and mid-mile transport, and develop practical solutions.
•Improve how Peddler allocates resources across cities and geographies, balancing service quality, productivity and cost.
•Turn operational learnings into repeatable processes, assumptions and scalable operating standards as the network expands.
•Work cross-functionally with Operations, Tech, Finance and other teams to improve the data, tools and systems used to run the network.
•Explore how AI, automation and new analytical tools can improve forecasting, resource allocation and operational decision-making.
•Track the relationship between forecast volumes, actual volumes, capacity deployed and operational performance.
•Analyse key metrics including injection accuracy, scan volumes, delivery volumes, rider productivity, rider hours, hub CPO, DSP utilisation, unfinished deliveries and operational readiness.
•Investigate forecast errors and operational variances to understand what happened, why it happened and how the next plan should improve.
•Build clear performance views that allow operational teams to identify risks and make decisions before they affect service or cost.
•Use data not simply to report performance, but to continuously improve how Peddler engineers and operates its network.

Operations ManagerLogisticsSupply ChainLast-mile deliveryForecastingCapacity PlanningData-drivenAmsterdamFull-timeOn-site

Key Responsibilities

•Translate expected parcel volumes into the capacity and resources required across Peddler’s network.

•Forecast parcel injection by client, geography and service using operational data and AI-supported tools.

•Plan rider hours, hub and DSP capacity, mid-mile movements and other operational resources.

•Develop innovative models, tools and scenarios that improve forecasting, capacity planning and decision-making.

•Work with Tech and Operations to build scalable planning systems and reduce manual work.

•Monitor actual volumes and capacity against forecasts, adjust plans quickly and continuously improve planning assumptions.

•Ensure the right resources are available in the right place, at the right time and at the right cost.

•Build and continuously improve the models, processes and workflows that connect volume → capacity → resources → execution.

•Identify bottlenecks and capacity constraints across hubs, rider operations, DSPs and mid-mile transport, and develop practical solutions.

•Improve how Peddler allocates resources across cities and geographies, balancing service quality, productivity and cost.

•Turn operational learnings into repeatable processes, assumptions and scalable operating standards as the network expands.

•Work cross-functionally with Operations, Tech, Finance and other teams to improve the data, tools and systems used to run the network.

•Explore how AI, automation and new analytical tools can improve forecasting, resource allocation and operational decision-making.

•Track the relationship between forecast volumes, actual volumes, capacity deployed and operational performance.

•Analyse key metrics including injection accuracy, scan volumes, delivery volumes, rider productivity, rider hours, hub CPO, DSP utilisation, unfinished deliveries and operational readiness.

•Investigate forecast errors and operational variances to understand what happened, why it happened and how the next plan should improve.

•Build clear performance views that allow operational teams to identify risks and make decisions before they affect service or cost.

•Use data not simply to report performance, but to continuously improve how Peddler engineers and operates its network.