Senior 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 what works and what doesn't

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

• High autonomy: embed, identify the problem, propose the approach, ship it — with minimal bureaucratic drag

• Your work compounds: every reusable pattern and module you build makes the next automation faster

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

What You'll Build

This is a sample of what you'll work on — the problems will evolve as the team grows and as you find the next highest-leverage target.

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 connect the systems engineers rely on daily

• Tooling that helps engineers at Stord write, review, and ship code faster using agentic workflows

Internal Data and Analytics Products

• Automated reporting and alerting that replaces manual data pulling and analysis

• Dashboards and data products that surface operational intelligence to the teams who need it

• Self-serve data interfaces that reduce the back-and-forth between operational teams and engineering

How You Work

• Embed with a team, map the workflow end-to-end, identify the highest-leverage automation target

• Ship small, validate with domain experts, iterate fast — production discipline from the very first commit

• Collaborate with Product Engineering when automations touch core platform systems; operate independently everywhere else

• Document and publish reusable patterns so the next engineer — or the next automation — goes faster

What We're Looking For

Required

• LLM and agentic AI development (2+ years): Proven production experience building AI agents and LLM-powered tools that automate real workflows — not toys, not demos. You have shipped them, monitored them, and fixed them when they broke.

• TypeScript / Node.js (3+ years): Production backend experience. You reach for the right tool, and this is your primary one.

• AI-augmented development: You use AI coding tools (Claude Code, Cursor, Codex, or equivalent) as a core part of your workflow — not occasionally, but as the reason you can move faster than a traditional engineering team.

• LLM integration depth: Proven experience with OpenAI, Anthropic, or equivalent — tool use, structured outputs, prompt engineering, fallback handling, cost controls.

• Embedded working style: You are comfortable sitting with non-technical teams, earning their trust quickly, and translating messy operational problems into clean engineering solutions.

• API design and integration: You have built RESTful APIs from scratch and integrated with complex, sometimes poorly documented internal systems.

• Observability: You instrument your systems in production. You know when something is broken before the user does.

• 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.

Strongly Preferred

• Experience automating workflows in operational or back-office contexts (finance, support, logistics, CX)

• Vector databases and semantic search for internal knowledge retrieval

• Experience building internal developer tools or platforms

• Python for scripting, data wrangling, or model integration

• Familiarity with Stord's stack: Elixir/Phoenix, TypeScript, Kafka, GCP

Nice to Have

• Workflow orchestration tools (Temporal, Prefect, Airflow, or similar)

• Early-stage startup background — you have worn many hats and shipped under pressure

• Domain knowledge in logistics, supply chain, or operations-heavy B2B environments

• Hackathon experience or open source contributions

What Success Looks Like

In your first 30 days, you have embedded with at least one internal team, mapped a workflow end-to-end, and shipped something real into production. By 90 days, you have measurably reduced manual work that was previously just accepted as the cost of doing business — and people in that team can point to it. By six months, internal teams are coming to you with problems before they even think to file a ticket, you have a library of reusable patterns that others are building on, and you are the person who set the standard for how AI-powered internal tooling gets built at Stord.

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.