Full-Time
Warehouse Team Leader
JD.com
10,001+ employees
E-commerce, logistics, and technology platform
Compensation Overview
$23 - $24/hr
Houston, TX, USA
In Person
 Warehouse & Fulfillment (2) |
|---|
| , |
Get referred to JD.com
See people who can refer or advise you
- 1–2 years of warehouse experience.
- Strong organizational and communication skills.
- Willingness to work overtime and support flexible scheduling.
- Mandarin language skills are required.
- Lead a small team of associates in one or more warehouse functions, including receiving, picking, and packing.
- Assist with labor planning and workflow coordination.
- Train new team members on standard operating procedures, safety, and process efficiency.
- Monitor order accuracy, report issues, and escalate when needed.
- Ensure a clean and safe working environment.
- Prior team lead or unofficial leadership experience.
- Familiarity with scanners or warehouse management systems.
- Eagerness to learn and grow into a supervisor role.
JD.com is a large Chinese e-commerce company that sells products directly to consumers and hosts a marketplace where third-party sellers list items. The company relies on its own extensive logistics network to store, pick, pack, and ship orders quickly, offering options such as same-day and next-day delivery. Its platform combines an online store, a marketplace, and technology-enabled services to support its retail and logistics operations. Unlike many competitors, JD.com owns much of its logistics infrastructure and emphasizes supply chain technology to control quality, speed, and efficiency across its products and services, including electronics, healthcare, and property development ventures. The goal is to be a leading, integrated e-commerce and technology platform in China, continually expanding its logistics capabilities, technology solutions, and services for both consumers and third-party sellers.
Company Size
10,001+
Company Stage
IPO
Headquarters
Haidian, China
Founded
1998
Get referred to JD.com
See people who can refer or advise you
Simplify's Take
What believers are saying
- Q2 2026 non-GAAP EPS rose 26.6% as free cash flow strengthened.
- JD's AI assistant Dongdong and Meta Brain 3.0 deepen shopping and logistics engagement.
- The Ceconomy deal could expand JD's European logistics and retail footprint quickly.
What critics are saying
- EU decides Ceconomy by October 23, 2026; subsidy objections could kill the takeover.
- Alibaba and Meituan now dominate instant retail; JD held only 7.7% in Q2.
- Physical-AI spending and robotics hubs demand huge capital before revenue proves durable.
What makes JD.com unique
- JD Logistics' in-house network still moves hundreds of millions of parcels in seconds.
- JD Retail remains profitable, with Q2 2026 operating income of RMB13.5 billion.
- JD's physical-AI stack spans logistics, healthcare, retail, and embodied robotics.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 4%1 year growth
↑ 4%2 year growth
↑ 3%Chinese e-commerce giant JD.com is encountering resistance from competitors over its proposed concessions to address European Union foreign subsidy concerns regarding its $2.5 billion acquisition of Ceconomy. The deal, which would see JD.com take over the German retail group, has drawn scrutiny under the EU's foreign subsidy regulation. Rivals have pushed back against the concessions offered by JD.com, though specific details of the proposed remedies and the competitors' objections were not disclosed. The opposition adds another layer of complexity to the transaction as JD.com seeks regulatory approval for the takeover. The outcome of these discussions will determine whether the deal can proceed or if additional concessions will be required.
JD.com open-sources JoyAI-EchoWM interactive audiovisual world model at JDD. Published: September 10, 2026 Want to read in a language you're more familiar with? JD.com open-sourced JoyAI-EchoWM and EchoWM-Flash at JDD, scoring about 81.6-81.7 on WBench Navigation with unified camera-intent control and native audio-video generation, alongside plans for a large domestic GPU cluster and logistics Superbrain 3.0. JD.com has open-sourced JoyAI-EchoWM, an interactive audiovisual world model unveiled at the JDDiscovery-2026 global technology conference, together with a lighter causal streaming variant called EchoWM-Flash. Released by JD.com's exploration research unit inside the JoyAI-Echo family, the model generates synchronized video with ambient sound, music and speech while responding in real time to user navigation. The goal is enterable, controllable, explorable media - worlds that keep geometry, subjects and audio coherent as people move, turn and revisit - rather than one-shot cinematic clips. Control runs through a unified camera-intent interface. Discrete keyboard or controller commands are mapped into continuous six-degree-of-freedom trajectories, so the same intent stream can drive first-person roaming or third-person follow shots without separate role tracks or preset follow parameters. In first person, the trajectory is the observer's motion; in third person, the model learns how subjects and framing should co-move. Audio is produced jointly with video: the camera path conditions the visual branch, and sound follows scene events such as footsteps, collisions, dialogue and score without a dedicated action-to-audio controller. Across multi-turn exploration, a short trailing audiovisual window becomes context for the next segment, helping layout, appearance and audio continue - though the team notes there is still no explicit persistent three-dimensional memory, so longer runs can drift. On WBench Navigation, JoyAI-EchoWM scored about 81.6 to 81.7 on average across reported cases, with consistency and interactivity among the stronger sub-scores. EchoWM-Flash, a four-step causal streaming build, stayed near 81.0 while preserving high interaction marks. Further checks on SANA-WM-Bench and pairwise preference studies emphasize visual quality and camera following under short and long horizons. Training used a world-data engine mixing gameplay logs, human play footage, Unreal Engine pose-truth simulation and internet video, then staged audiovisual pretraining, action fine-tuning, joint fine-tuning and autoregressive post-training. Code and paper links are public via the jd-opensource JoyAI-Echo repository on GitHub. The open release sits beside JD.com's physical AI plans at the same event: a path toward a roughly 100,000-card domestic GPU cluster for training and real-time inference, a drive to gather about 10 million hours of embodied real-scene video, and JD Logistics Superbrain 3.0, which the company says compresses parts of end-to-end parcel path planning from minutes toward seconds. JoyAI-EchoWM is framed as China-primary open model specs for interactive audiovisual worlds - not as a fundraising pitch.
From AI models to the Physical World: highlights from JDDiscovery 2026. AI is often discussed through models, benchmarks and digital productivity. At JDDiscovery 2026 in Beijing, JD.com focused on what AI can accomplish in the physical world from warehouses and delivery routes to retail, healthcare, smart homes, industrial supply chains and beyond. Under the theme "JoyAI: Leaping into the Physical World," JD.com outlined its goal to build the "World's Largest Operational Platform for the Physical World". As Cao Peng, Chairman of JD.com's Technology Committee and President of JD Cloud, noted, JD.com's AI was not born only in research papers. It has been refined "order by order" across production lines, warehouses, delivery stations and the full supply chain process. Here are three highlights from JDDiscovery 2026 that show how JD.com is putting AI to work. World Models Move AI Closer to the Physical World An optimal route for hundreds of millions of parcels, calculated in seconds. A mechanical component designed through a simple conversation and turned into a 3D-printed prototype. A medical imaging agent that can proactively examine a scan. These examples show what becomes possible when AI moves beyond the screen and into real-world operations. Behind them is JD.com's JoyAI foundation model portfolio, which spans speech, image, video, real-time interaction, world models and embodied AI. At JDDiscovery, the company added its new world model, JoyAI-Echo WM, an interactive audiovisual model that combines native audio-video generation with user control. It takes AI-generated content beyond something users simply watch, transforming it into virtual environments they can enter, interact with and explore. JD.com also showcased industry-specific models and AI agent applications. JINGDONG Logistics' Meta Brain 3.0 coordinates decision-making across warehousing, transport and delivery, reducing the time needed to calculate optimal routes for hundreds of millions of parcels from minutes to seconds. JoyIndustrial 2.0, meanwhile, allows engineers to describe a mechanical design in everyday language and turn it into a physical prototype through 3D printing. In healthcare, JoyAI-Med 3.0 brings medical imaging, research, clinical documentation and multidisciplinary consultation into a unified model that is already being used across JINGDONG Health services. AI Moves into Everyday Life: Shopping, Health and the Home Of course, AI is not limited to robots on warehouse floors. It can also help someone choose a washing machine, collect a blood pressure reading with healthcare services, or allow devices across the home to respond more intelligently. With the release of JD.com app ver.16.0 on 9 September, users can now access "Dongdong", JD.com's AI shopping assistant, throughout the shopping journey. Instead of simply returning search results, Dongdong is designed to understand what customers are trying to accomplish. It can break down broad or unclear requests and match them with relevant products and services across JD.com's ecosystem. Users can also interact with Dongdong through voice and video. Someone looking for furniture or an appliance, for example, can show the assistant their available space, interior style or a problem they want to solve. Dongdong can then use that visual context to provide more relevant and practical suggestions. In healthcare, JINGDONG Health introduced its first end-to-end specialist AI agent, designed to reproduce the diagnostic logic and clinical expertise of leading doctors. JINGDONG Health is also linking AI with devices and services. In the home, JoyInside gives connected devices an "AI brain", helping them move from responding individually to providing more proactive, whole-home services. The technology has already been adopted through partnerships with more than 200 brands across appliances, home products, toys and robotics. From Prototype to Scale: Building the Infrastructure for Robotics Building a robot is difficult. Turning it into a product that can be manufactured, deployed and maintained at scale is harder. JD.com's new Physical AI Acceleration Plan is designed to address that challenge across the full robotics lifecycle. The plan begins with one of the industry's biggest constraints: training data. JD Cloud aims to build the world's largest embodied AI data collection centre, gathering more than 10 million hours of video from real-world human activities over the next two years. JINGDONG Property plans to establish more than 80 RoboBase robotics industry hubs across China over the next five years, creating the world's largest network of robotics industry bases. The hubs will integrate product demonstration and delivery, R&D, pilot assembly, data collection, manufacturing, maintenance and product iteration. JINGDONG Industrials has launched an alliance connecting robot manufacturers with component suppliers, supporting its goal to become the world's largest supplier of robotics components. JINGDONG Retail plans to commit RMB 10 billion in resources by 2028. It aims to become the world's largest robotics retail channel by helping 100 robotics brands each achieve RMB 1 billion in independent sales and reaching 10 million users. Logistics already provides a significant proving ground. JINGDONG Logistics aims to build the world's largest-scale application of embodied robots and advance autonomous operations across the entire logistics process. The increasing use of robotics will also require support after deployment. JINGDONG Logistics currently operates eight repair centres in China and plans to extend its robotics after-sales capabilities and support the creation of more than 100,000 jobs for robotics service engineers, over the next five years.
JD.com's real target with 3 million robots: physical AI. Staff reporter, Taipei Sep 9, 2026, 14:15 0 Credit: AFP JD.com is accelerating its expansion in physical AI, announcing a new "Physical AI Acceleration Plan" at the 2026 JD Global Technology Explorers Conference on September 9... Picks for you
JD.com launches AI-smart helmet to make food delivery safer, faster. JD.com, a chinese e-commerce platform, has introduced an artificial intelligence-powered smart helmet for food delivery riders, as technology companies look read more JD.com launches AI-smart helmet to make food delivery safer, fasterBusinessday NGRead More At Reward Investments and Services Limited, its priority is to provide customers with premium capital market services, rewarding investments and desired results. Quick links. Contact Reward Investments & Services Ltd. * +2348187478937 * [email protected] * 10th Floor, 31 Marina, Lagos Powered by MTL