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doordashusa

Manager, Dasher & Logistics - Capacity Planning

Chicago · IL · 发布于 2026-10-30
<div class="content-intro"><p><img style="display: none; max-width: 100%;" src="https://click.appcast.io/greenhouse-te8/a31.png?ent=34&amp;e=22630&amp;t=1701374353806" width="1px"> <img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-2ff09647f181&amp;utm_ptz=EST&amp;utm_rqt=track" alt="" width="1"></p></div><h2>About the Role</h2> <p>The Sort Capacity Manager owns network-wide capacity de-risking for the Sort organization. This role builds and maintains the constraint model that defines what “de-risked capacity” means across every 1P and 3P facility — dock door availability, floor/pallet-position space, max throughput, and optimal labor and automation.&nbsp;</p> <h2><strong>About the Team</strong></h2> <ul> <li>Own the network constraint model — Model site capacity against its underlying constraints: dock door availability (inbound/outbound truck cadence by hour, translated from Mx forecast), floor/pallet-position space (inbound-to-outbound hourly volume vs. staging capacity), max throughput (automation vs. manual sortation rate, package profile mix, cross-dock vs. sort), and optimal labor hours required to hit max output.</li> <li>Govern spoke capacity data — Drive spoke capacity maintenance in the sort app, ensuring product reflects current facility configuration, and hold cross-functional partners accountable when it doesn't.</li> <li>Own zip-to-facility strategy — Own zip code-to-facility mapping and re-optimization as volume and rates shift, balancing service-level and cost trade-offs.</li> <li>Own device and consumable readiness — Forecast scanners, bins, and gaylords against site growth to avoid reactive procurement; own the readiness cadence end to end.</li> <li>Scope hub-to-spoke routing opportunities — Build the business case for hub-sort-to-spoke direct routing and bring recommendations forward to Network Design and Real Estate.</li> <li>Close forecasting product gaps — Identify where forecasting tools fail to capture capacity reality and drive the fix with Data/Product partners.</li> <li>Own Mx launch — Own Mx launch end to end, including CET allocation by merchant priority, negotiating trade-offs across competing merchant demands.</li> </ul> <h2><strong>You're excited about this opportunity because you will…</strong></h2> <ul> <li>3-6-12 month runway visibility ahead of any projected capacity constraint.</li> <li>Site launch recommendations delivered proactively, not reactively.</li> <li>% of high-priority Mx launches assigned an optimal CET.</li> </ul> <h2><strong>We're excited about you because you have…&nbsp;</strong></h2> <ul> <li>Strategic model ownership — You've built and owned a capacity, forecasting, or network constraint model that became a standing input to planning — not a one-off analysis.</li> <li>Independent judgment — You can independently judge where the real bottleneck is across a large, multi-site network, without a pre-scoped problem statement.</li> <li>Cross-functional negotiation — You've negotiated trade-off recommendations with senior, cross-functional stakeholders (e.g., Network Design, Real Estate, Finance) and influenced capital-adjacent decisions.</li> <li>Physical operations fluency — You understand physical warehouse operations deeply enough to translate dock, floor, throughput, and labor constraints into a single model.</li> <li>Experience — 7+ years in supply chain, network strategy, or operations, with direct experience owning capacity planning or site launch strategy at scale.</li> <li>Executive communication — You communicate trade-offs and risk clearly and concisely to senior leadership, and you know what to escalate versus resolve independently.</li> </ul> <p>We expect this position to be filled by 12-26-2026</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-size: 32px;"><strong>Compensation</strong></span></p> <p>The successful candidate’s starting pay w
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