Forward Deployed Engineer, AI Enablement
stord · Remote, United States ·
- Work mode
- Remote
- Category
- Solutions engineering
- Experience
- 3+ years
- Visa sponsorship
- Yes
- Company size
- 501-1000
stord · Remote, United States ·
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.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
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
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
TypeScript / 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 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
Experience automating workflows in operational or back-office contexts (finance, support, logistics, HR)
Familiarity with Stord's stack: Elixir/Phoenix, TypeScript, Kafka, GCP
Vector databases and semantic search for internal knowledge retrieval
Experience building internal developer tools or platforms
Python for scripting, data wrangling, or model integration
Nice to Have
Early-stage startup background — you have worn many hats and shipped under pressure
Hackathon experience or open source contributions
Domain knowledge in logistics, supply chain, or operations-heavy B2B environments
Experience with workflow orchestration tools (Temporal, Prefect, Airflow, or similar)
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 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 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.