Stord

Architect and build AI-powered features integrating ML models into logistics platform. | Expertise in Elixir/Phoenix, distributed systems, API design, AI/ML integration, and GCP experience required. | 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. Stord is revolutionizing the logistics industry with our cloud-based supply chain platform. Our AI team is building next-generation features like Demand Planning, predictive analytics, and intelligent automation that leverage both traditional ML models and cutting-edge LLM capabilities. We need an experienced Elixir engineer (ideally, a true polyglot that looks at languages as tools) who can seamlessly integrate these AI capabilities into our core platform. We are seeking a skilled AI-focused Senior Software Engineer who combines deep technical expertise with practical AI/ML integration experience. You'll work directly with our Dir of AI Products to architect and build AI-powered features, collaborate with Data Scientists to understand model requirements, and partner with ML Engineers to create seamless integration between our ML infrastructure and core services. This is a hands-on role where you'll build the backbone services that make AI features accessible across our entire platform. In this role, you'll be instrumental in making AI a first-class citizen in our broader platform. You'll work on critical features like demand forecasting APIs, intelligent routing services, and real-time prediction engines, with the opportunity to shape how AI integrates with our core logistics platform (and what tools we use internally!). This is a unique opportunity to have a massive impact on a team that's transforming supply chain operations through AI. What You'll Do: AI Platform Integration: Build robust Elixir services that consume ML predictions from Modal.com, Vertex AI, and other ML platforms Integrate existing (or new!) products with edge-based inference where appropriate Create fault-tolerant systems that gracefully handle service failures and provide intelligent fallbacks Implement caching and optimization strategies for AI feature serving Build real-time data pipelines using Kafka and Elixir processes to feed ML models Production AI Features: Develop Demand Planning services that integrate forecasting models with inventory management Build intelligent routing systems that leverage ML predictions for optimal logistics decisions Create real-time anomaly detection services for supply chain monitoring Implement AI-powered recommendation engines for logistics optimization Design and build APIs for LLM integration (OpenAI, Anthropic, Workers AI, etc.) with proper rate limiting and error handling Platform Architecture & Scalability: Design distributed systems that can handle millions of AI-powered logistics operations Implement proper monitoring, alerting, and observability Build developer tools and abstractions that make AI capabilities easy for other engineers to integrate Create configuration management and feature flagging for experiments Optimize performance and costs across the platform Cross-functional Collaboration: Partner with the Dir of AI Products on architecture decisions and technical strategy Collaborate with Data Scientists to understand model inputs, outputs, and constraints Work with the ML/Data Engineers to ensure seamless model deployment integration Support product teams in implementing AI features within their domains Mentor other engineers on AI tool usage and integration patterns and best practices What You'll Need: Expert Elixir/Phoenix (2+ years) - You've built and scaled production Elixir systems TypeScript (2+ years) - You can switch between the best tool for the given task Distributed Systems - Strong understanding of fault tolerance, supervision trees, and OTP patterns API Design & Integration - Experience building and consuming RESTful APIs and event-driven architectures Database Expertise - Advanced SQL skills with PostgreSQL, experience with AlloyDB preferred Message Queues - Experience with Kafka, RabbitMQ, or similar streaming platforms Cloud Platforms - Hands-on experience with GCP (preferred), AWS, or Azure Performance Optimization - Experience optimizing high-throughput, low-latency systems Required Soft Skills: Production Mindset - You prioritize reliability and user impact over perfect code Systems Thinking - You understand how AI features fit into the broader platform architecture Strong Communication - Can explain technical decisions and trade-offs to various audiences Collaborative Approach - Enjoys working in a collaborative environment Learning Agility - Comfortable with evolving AI/ML technologies and tools Preferred Qualifications: Experience with LLM integration (OpenAI, Anthropic Claude, etc.) TypeScript experience (we work across Elixir, TypeScript and Python and generally try to choose the best tool for the job) Cloudflare Workers/AI experience (or other edge platforms) Event sourcing Knowledge of feature stores and real-time ML serving Experience with Modal.com, Vertex AI, or similar ML platforms Familiarity with logistics, e-commerce, or supply chain domains Experience with GenAI applications and prompt engineering Knowledge of vector databases and semantic search Contributions to open source Elixir, TypeScript or AI projects Experience with A/B testing and experimentation platforms

Design, develop, and maintain scalable software systems while mentoring engineers and collaborating across teams. | 5+ years software engineering experience with fullstack Typescript, scalable system design, and cloud platform knowledge. | 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. We are looking for a talented and driven Senior Software Engineer to join our growing team. In this role, you will be a key contributor to our technical efforts, designing and developing robust solutions, and providing technical guidance to other engineers. You'll have the opportunity to own features from start to finish, influencing specifications, building out backend services (Typescript), and interacting with the frontend (React). You will play a vital role in improving and scaling our software, directly impacting the third-party logistics (3PL) industry. At Stord, we believe in product-centered engineering - engineers who don't just build what they're told, but actively shape the future of our products through technical innovation and customer-focused thinking. You'll be expected to contribute meaningfully to product strategy, leveraging your technical expertise to identify new opportunities and guide product evolution. You will join a team within our new and strategic Commerce group, the division responsible for building the next generation of software products at Stord. You will help design and develop applications that transform the entire merchant-to-consumer journey, creating a seamless and branded experience that empowers our merchants' customers with proactive communication and greater control. Ultimately, your work will help our merchants build stronger brand loyalty and increase customer satisfaction. What You'll Do • Technical Contribution : Design, develop, and maintain scalable, reliable, and secure systems, focusing on simplicity and maintainability. • Problem-Solving : Tackle complex technical challenges across the stack, driving innovation and delivering efficient solutions. • Mentorship : Provide guidance and mentorship to junior engineers, fostering a culture of learning and professional development. • Collaboration : Work within a team of Engineers and partner with Product, Design, and other stakeholders to define and prioritize work, ensuring the successful delivery of high-quality features. • Code Quality : Maintain high standards for code quality, testing, and software development practices. • Feature Ownership : Take ownership of entire features from ideation to deployment, influencing specs and building out backend services. • Cross-Team Collaboration : Work with other teams to contribute to scaling processes, tools, and technologies. What You'll Need • 5+ years of experience in software engineering, with a strong focus on modern web development • Proven track record of architecting and implementing complex, distributed systems in production environments • Strong understanding of full-stack development principles and scalable system design • Experience with fullstack Typescript products including Node.js and React • Experience with cloud platforms, preferably GCP • Experience building complex web applications and working with large datasets • Demonstrated ability to learn and adapt to new technologies • Experience with high-performance, scalable web applications Bonus Points • Previous startup experience • Previous Senior+ positions • Previous logistics or supply chain experience • Experience with state management libraries (Redux, Zustand, etc.) • Experience with message queues and event streaming (Kafka, RabbitMQ, etc.) • Experience with observability and monitoring tools (Prometheus, Grafana, DataDog, etc.) • Experience with progressive web applications (PWAs) and mobile-responsive design • Knowledge of performance optimization techniques for web applications

Design and maintain scalable cloud infrastructure focusing on reliability, automation, and observability. | 5+ years SRE or platform engineering experience with expertise in GCP, Kubernetes, Terraform, and proficiency in Python or Go. | 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. Stord is building the operating system for modern supply chain: a unified platform handling Order Management, Warehouse Management, Transportation, and Consumer Experience for brands doing over $10B in commerce annually. The SRE team is small, fast-moving, and owns the infrastructure that keeps that platform running, primarily on Google Cloud Platform, across GKE, Cloud Run, AlloyDB, and the networking that connects our services. This is a high-autonomy environment with a wide surface area and few layers between you and the systems you're responsible for. The work is real infrastructure engineering: reliability, scale, cost, and the automation that lets a lean team punch well above its weight. This role is for an engineer who wants to help a startup grow up. We're maturing fast, and SRE is central to that path: turning ad hoc fixes into repeatable process, replacing toil with automation, and building the reliability practices a scaling platform depends on. You'll work as part of a team that values clear communication and shared ownership. You'll also act as the technical bridge between development and operations. If you take pride in building durable systems and raising the bar for how a team operates, this role was built for you. Why This Role You'll own high-impact infrastructure work directly, in a small team where your contributions are visible and your judgment is trusted. The path from decision to production is short. The surface area is broad and real: GKE, Cloud Run, GCP core services, AlloyDB, and the CI/CD and observability tooling that ties it together. You'll shape reliability and automation practices during a period of real growth, working alongside engineers who care about doing it well. What You'll Build Infrastructure & Platform Own architecture and implementation of scalable, reliable infrastructure on GCP, including GKE, Cloud Run, AlloyDB, and networking. Own Infrastructure as Code in Terraform: modules, org policies, and the patterns the team builds on. Manage containerized workloads on Kubernetes, including performance tuning, capacity planning, and resource optimization. Drive down cost and toil through better defaults, right-sizing, and automation rather than manual intervention. Reliability & Observability Build monitoring, alerting, and observability in Datadog (APM, logs, RUM) that catches problems before customers do. Define the reliability signals that matter for the services you own, and hold the line on them. Develop and maintain disaster recovery and business-continuity strategies, and prove they work. Automation & Delivery Design and maintain CI/CD pipelines in GitHub Actions, including runner strategy and deployment safety. Automate operational workflows and infrastructure provisioning so the platform scales smoothly as the team grows. Build custom tooling and scripts that remove recurring operational pain. Collaboration & Incident Response Partner with data and development teams to improve deployment practices and application reliability. Provide escalation support for production incidents, help lead post-incident reviews, and turn findings into durable fixes. Participate in technical design reviews and offer architectural input across teams. Help improve SRE and infrastructure best practices across the team, and participate in on-call for critical systems. What We're Looking For Required 5+ years in SRE, platform, or infrastructure engineering: you've owned complex systems and driven technical work forward with minimal supervision. GCP depth: strong hands-on experience with GCP core services (GKE, Cloud Run, AlloyDB, networking, IAM). You know how these fit together in production, not just in a certification. Containers & orchestration: you're fluent in Docker and Kubernetes and can debug, tune, and scale real workloads. Infrastructure as Code: deep Terraform experience. You write reusable modules, reason about state, and treat infra changes with the same rigor as application code. A programming language you're genuinely productive in: TypeScript, Python, Go, or similar, used to build tooling and automation, not just glue scripts. Observability: you build monitoring and alerting that's actionable (Datadog, or equivalents like Prometheus/Grafana), and you know the difference between a noisy dashboard and a useful one. Distributed systems fundamentals: failure modes, consistency, and how systems break at scale. Git and collaborative development workflows: you work in shared codebases and review others' changes well. Incident management: you've run incidents and post-mortems and can stay calm and methodical when production is on fire. Required Soft Skills Ownership & Accountability: You own features end-to-end and take pride in what you ship. You follow through from design to production and don't drop things. Strong Communication: You can explain technical decisions and trade-offs to engineers, PMs, and stakeholders. You ask good questions and listen well. Collaborative Approach: You work well with others, give constructive code review feedback, and actively seek input from teammates. Production Mindset: You prioritize reliability and user impact. You think about failure modes, monitoring, and operational concerns as part of your design process. Learning Agility: You're comfortable with rapidly evolving AI/ML technologies and tools. You stay current without chasing hype. Directed AI-Assisted Development: You know how to use AI coding tools as a productivity multiplier while maintaining quality and your own technical judgment. Strongly Preferred Database operations depth: PostgreSQL internals (logical replication, vacuuming, lock contention) or experience with migrations and database scaling. Familiarity with Redis, ClickHouse, or analytical stores is a plus. Event-driven systems: Kafka/Redpanda or Pub/Sub, schema registries, and the operational realities of streaming at scale. Cost engineering: you've meaningfully reduced cloud or observability spend without sacrificing reliability. Nice to Have GCP certifications (Cloud Architect, Cloud DevOps Engineer) or demonstrably equivalent depth. Cloudflare: experience with Workers and other Cloudflare services. Multi-cloud or hybrid architecture exposure. What Success Looks Like 30 days: You've ramped on our GCP environment and Terraform setup, shipped your first infrastructure or automation change to production, and are contributing in incident and design discussions. 90 days: You independently own a meaningful slice of the infrastructure, have improved a reliability, cost, or automation pain point that was slowing the team down, and teammates lean on you in your area. 6 months: You're a trusted owner of your part of the infrastructure, consistently delivering improvements that make the platform more reliable and efficient. About Stord Stord is a cloud-based supply chain platform that enables brands to compete and grow through end-to-end logistics solutions. We process over $10B in commerce annually and operate across Order Management (OMS), Warehouse Management (WMS), Transportation Management (TMS), Consumer Experience, and Demand Planning. We are backed by leading investors and are rapidly scaling our engineering organization to match our ambitions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.