Forward Deployed Engineer, AI Enablement

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 the modern supply chain — a unified platform that powers order management, warehousing, transportation, and consumer experience for brands doing over $10B in commerce annually. Behind that platform is a large, fast-moving organization where ops teams, finance, CX, and logistics are still doing work that should not require a human.That is where you come in. As a Senior Forward Deployed Engineer on the AI Enablement team, your job is to get close to the people doing that work, understand exactly where the friction lives, and build agentic AI systems that make it disappear permanently. Not prototypes. Not internal demos. Production tools that change how Stord operates — with your fingerprints on the outcome.This role is not a traditional product engineering position. You will operate more like an embedded problem-solver than a member of a feature team — pairing engineering depth with the curiosity and judgment to identify what is actually worth building. If you have shipped internal AI tooling at scale, move fast without breaking things, and get energy from seeing the people around you work better because of what you built — this role was designed for you.Why This RoleYour users are Stord employees — you get direct, immediate feedback on the impact of what you buildGreenfield scope: we are early in systematically automating internal workflows with AI, and you will define how it's doneHigh autonomy: observe a problem, propose a solution, ship it — with minimal bureaucratic dragYour work compounds: reusable modules and patterns you build accelerate every automation that followsAI investment is a company-level mandate — you will have organizational support and visibilityWhat You'll BuildTools for Internal Teams (CX, Finance, Ops, Logistics)AI-powered tooling for Customer Experience teams — triaging issues, surfacing context, automating resolution workflowsFinance automation — reconciliation, exception handling, and reporting workflows that currently require manual effortOps and logistics tooling — dashboards, alerting, and intelligent interfaces that reduce the manual burden on warehouse and transportation teamsLLM-powered interfaces that let non-technical teams query, act on, and get answers from operational data without needing engineering supportWorkflow AutomationEnd-to-end automation pipelines: observe workflow prototype validate with domain experts harden ship to productionAgentic systems with proper logging, retries, monitoring, and edge case handling — not scripts that break silentlyIntegrations with internal systems (OMS, WMS, TMS, Billing) via APIs and event streamsReusable automation modules that accelerate future workflow projects across the organizationDeveloper Productivity ToolingInternal AI-powered tools that reduce friction across the engineering development lifecycleLightweight APIs and integrations that connect the systems engineers rely on dailyTooling that helps engineers at Stord write, review, and ship code faster using agentic workflowsInternal Data and Analytics ProductsAutomated reporting and alerting that replaces manual data pulling and analysisDashboards and data products that surface operational intelligence to the teams who need itSelf-serve data interfaces that reduce the back-and-forth between operational teams and engineeringHow You WorkEmbed with a team, map the workflow end-to-end, identify the highest-leverage automation targetShip small, validate with domain experts, iterate fast — production discipline from the very first commitCollaborate with Product Engineering when automations touch core platform systems; operate independently everywhere elseDocument and publish reusable patterns so the next engineer — or the next automation — goes fasterWhat We're Looking ForRequiredTypeScript / Node.js (3+ years): Production backend experience. You reach for the right tool, and this is your primary one.Agentic AI development: You have built AI agents that automate real workflows in production — not toys, not demos.CLI-native workflow: Claude Code, Cursor, Codex, or equivalent is your primary development environment. This is a hard requirement.LLM integration: Proven experience with OpenAI, Anthropic, or equivalent — tool use, structured outputs, prompt engineering, error handling.API design & integration: You have built RESTful APIs from scratch and integrated with complex internal systems.Observability: You instrument your agents in production — logging, tracing, monitoring, alerting. You know when things break before users do.Database: Advanced SQL with PostgreSQL. You can model data and write queries that matter.High agency: You identify the problem worth solving, propose the approach, and drive to done with minimal direction.Production discipline: Fast iteration does not mean fragile systems. You build things that stay running.Required Soft SkillsOwnership & 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 PreferredExperience automating workflows in operational or back-office contexts (finance, support, logistics, HR)Familiarity with Stord's stack: Elixir/Phoenix, TypeScript, Kafka, GCPVector databases and semantic search for internal knowledge retrievalExperience building internal developer tools or platformsPython for scripting, data wrangling, or model integrationNice to HaveEarly-stage startup background — you have worn many hats and shipped under pressureHackathon experience or open source contributionsDomain knowledge in logistics, supply chain, or operations-heavy B2B environmentsExperience with workflow orchestration tools (Temporal, Prefect, Airflow, or similar)What Success Looks LikeIn your first 30 days, you have embedded with at least one internal team, mapped a workflow end-to-end, and shipped an automation — however small — into production. By 90 days, you have eliminated a meaningful chunk of manual work that was previously just accepted as the cost of doing business. By six months, you have a library of reusable patterns others are building on, and internal teams are coming to you with problems rather than waiting to be found.About StordStord 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.SummaryLocation: Remote, United States; HQ - Atlanta, GAType: Full time