About The Position

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission. By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale. With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order. Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures. Engineering at Stord Stord's software suite has grown fast over the last year, and we're just getting started. With a powerful fulfillment network, incredible reach, and top-tier brands, we have a real opportunity to transform a trillion-dollar market. We're hiring software engineers at every level across all of our product areas: Commerce, where we own the shopper's experience from checkout through delivery; our parcel network (TMS); fulfillment and warehouse systems (WMS); order management (OMS); Stord Labs, where we're working on automation and the future of AI; and the platform and AI infrastructure the rest of engineering builds on. That covers everything from shopper-facing experiences and customer-facing SaaS to the operational systems that move real inventory through real warehouses and onto real trucks. What makes building software here different is what sits underneath it. Most software companies only see the screen. Our software runs on top of the network that actually picks, packs, and ships the orders, so we get to build with real operational data and see the impact of what we ship in the physical world. This posting isn't tied to a single team or level. Commerce and supply chain experience are a big plus, but what matters most to us is how you work: how much you own, how you handle ambiguity, and how well you build in an AI-accelerated environment. As you go through the interview process, we'll align you with the team and level that best fit your skills and interests, rather than locking you into a set path on day one.

Requirements

  • 3 to 10+ years of software engineering experience, with a track record of shipping and running production software
  • Hands-on experience building software with agentic workflows: using AI coding agents (Claude Code, Cursor, or similar) to take work from requirements through planning, coding, testing, and deployment
  • A solid grasp of agentic development basics: giving agents good context, breaking work into plans, and verifying output instead of trusting it
  • Strong engineering fundamentals: system design, data modeling, APIs, testing, and debugging in production
  • The ability to work confidently in our core languages with agents. Our product teams build mostly in TypeScript (Node.js and React) and Elixir/Phoenix. If your background is in another language, we're open to it
  • Ownership and follow-through: you take pride in what you ship and see it from design to production
  • Clear communication with engineers, product managers, operators, and stakeholders about technical decisions and trade-offs
  • Comfort with ambiguity: you can take a fuzzy problem and turn it into shipped software without waiting for every detail to be defined

Nice To Haves

  • Commerce or supply chain experience: checkout, payments, order management, notifications, returns, or warehouse and transportation systems (WMS, TMS, OMS)
  • Production experience with TypeScript, Node.js, and React, or with Elixir/Phoenix
  • Experience building and shipping LLM-powered features in production: prompt design, tool/function calling, context management, and evaluation
  • Experience building chat agents or assistants integrated with MCP (Model Context Protocol) servers
  • Experience with GCP, PostgreSQL, and event streaming (Kafka, Redpanda, or similar)
  • Experience at a product-led company (consumer or B2B SaaS, marketplace, fintech, etc.)
  • Experience building 0-to-1 products, or rebuilding or migrating a legacy platform
  • Contributions to open-source projects

Responsibilities

  • Take features from idea to production with your team, using AI coding agents to plan, build, test, and deploy
  • Give agents the right context, direct their work, and review their output critically. You're accountable for the quality of what ships, not the model
  • Own what you ship after launch: monitor it, fix it, and keep improving it
  • Shape specs with Product and Design, bringing a technical view on feasibility and trade-offs
  • Partner with engineers on other teams to design integrations, align on shared patterns, and deliver work that spans more than one system
  • Design and maintain scalable, reliable, and secure systems that stay simple and maintainable as they grow
  • Get close enough to what your software supports (a checkout flow, a carrier integration, a warehouse floor) to know where it breaks before a customer tells you
  • Raise the bar for the engineers around you through code reviews, design reviews, and sharing the agentic workflows that make the team faster
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