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Associate Manager, DashMart - Supply Chain Profitability Strategy & Operations

New York · NY · 发布于 2026-09-21
<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><strong>About the Team</strong></h2> <p>Our New Verticals Strategy &amp; Operations team is re-inventing the way consumers think about grocery, convenience, alcohol and retail delivery through both our first-party and third-party operations businesses. DashMarts are our first-party offering designed to provide on-demand deliveries by selling household essentials, groceries, brand-name favorites, local favorites and so much more. The end to end DashMart experience is powered through DoorDash. Third-party partnerships enable us to offer on-demand deliveries from both SMB and enterprise merchants across grocery, convenience alcohol and retail storefronts. The merchants own the inventory, we fulfill and deliver them!</p> <h2><strong>About the Role</strong></h2> <p>We are hiring an Associate Manager to join the DashMart Strategy &amp; Operations organization, focused on reducing supply chain costs to fuel profitability. In this role, you will own the end-to-end effort to reduce shrink, using SQL and AI to analyze data and identify opportunities, then designing and implementing solutions from the ground up. Solutions may be process-driven, working closely with Ops, Supply Chain, Vendor Management, and Category, or product-driven, partnering with Product and Engineering teams to build scalable fixes. You will be goaled directly against a key profitability metric, making this a highly visible role with outsized impact on the bottom line.</p> <p>We're looking for someone with strong analytical and problem-solving skills who can think outside the box to uncover non-obvious opportunities and creative solutions. You should bring a high degree of ownership and be comfortable independently driving a project from data analysis through cross-functional execution. This role sits at the intersection of operations, product, and finance, and is critical to DashMart's profitability goals.</p> <p>You will report into a Manager within the DashMart team. We operate in a hybrid work model with opportunities for in-person collaboration a few times a year, and all our offices are open should you choose to go in on a more regular basis! All employees that work on DashMart are also expected to spend time understanding the operation on site.&nbsp;</p> <h2><strong>You’re excited about this opportunity because you will…</strong></h2> <ul> <li><strong>Strategize</strong>. You’ll set financial goals for Shrink in both the short and long term, and create the playbook to achieve those goals.</li> <li><strong>Analyze</strong>. You'll assess financial opportunity and operational impacts of your decisions across the entire business, and iterate based on data.</li> <li><strong>Build</strong>. You’ll own the implementation of your strategies end to end, from documenting processes and requirements to measuring the success of the results.</li> <li><strong>Scale</strong>. You’ll transform analytical insights into operational experiments that create measurable and scalable improvements to profitability.</li> <li><strong>Lead and collaborate</strong>. You’ll influence a cross-functional team including category management, vendor management, central operations, product, engineering, and finance to solve problems and scale solutions.</li> </ul> <h2><strong>We’re excited about you because…</strong></h2> <ul> <li><strong>You have subject matter expertise in </strong>process improvement, data modeling, supply chain, and strong financial and business acumen.</li> <li><strong>You’re equally comfortable operating at 10,000 feet and 1 foot. </strong>You don’t hesitate to get in the weeds with SQL and data anal
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