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 Role

• Your users are Stord employees — you get direct, immediate feedback on the impact of what you build

• Greenfield scope: we are early in systematically automating internal workflows with AI, and you will define how it's done

• High autonomy: observe a problem, propose a solution, ship it — with minimal bureaucratic drag

• Your work compounds: reusable modules and patterns you build accelerate every automation that follows

• AI investment is a company-level mandate — you will have organizational support and visibility

What You'll Build

Tools for Internal Teams (CX, Finance, Ops, Logistics)

• AI-powered tooling for Customer Experience teams — triaging issues, surfacing context, automating resolution workflows

• Finance automation — reconciliation, exception handling, and reporting workflows that currently require manual effort

• Ops and logistics tooling — dashboards, alerting, and intelligent interfaces that reduce the manual burden on warehouse and transportation teams

• LLM-powered interfaces that let non-technical teams query, act on, and get answers from operational data without needing engineering support

Workflow Automation

• End-to-end automation pipelines: observe workflow → prototype → validate with domain experts → harden → ship to production

• Agentic systems with proper logging, retries, monitoring, and edge case handling — not scripts that break silently

• Integrations with internal systems (OMS, WMS, TMS, Billing) via APIs and event streams

• Reusable automation modules that accelerate future workflow projects across the organization

Developer Productivity Tooling

• Internal AI-powered tools that reduce friction across the engineering development lifecycle

• Lightweight APIs and integrations that c