Stord Logo

Stord

Forward Deployed Engineer, AI Enablement

Reposted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Embed with internal teams to identify high-leverage manual workflows and build production-grade agentic AI systems, integrations, and automation (LLM-powered interfaces, observability, APIs, dashboards) that reduce manual effort across CX, finance, ops, and logistics.
The summary above was generated by AI

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 BuildTools 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

  • 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.

Similar Jobs

46 Minutes Ago
Remote or Hybrid
IL, USA
138K-193K Annually
Senior level
138K-193K Annually
Senior level
Information Technology
Leads the Customer Success and Renewals organization, defining strategy for adoption, retention, forecasting, expansion, and customer outcomes. Manages financial and operational KPIs, renewal performance, AI and digital adoption, customer segmentation, cross-functional partnerships, and talent development. Serves as a subject matter expert and executive-level leader while coaching managers and teams, improving processes, and aligning sales, finance, partners, and customer success activities.
Top Skills: Artificial IntelligenceCoworkMicrosoft CopilotSection Coach
48 Minutes Ago
Remote or Hybrid
US
64K-89K Annually
Mid level
64K-89K Annually
Mid level
Information Technology
Develops and implements knowledge management strategies, processes, systems, and tools. Captures and organizes organizational knowledge, analyzes metrics, identifies process efficiencies, and supports automation. Collaborates with business leaders, subject matter experts, and IT teams to improve knowledge sharing and retention. Creates technical documentation, delivers training and workshops, manages initiatives, researches emerging technologies, and promotes adoption of knowledge management practices across managed services teams.
Top Skills: Power BIServicenow
48 Minutes Ago
Remote or Hybrid
IL, USA
95K-100K Annually
Senior level
95K-100K Annually
Senior level
Information Technology
Manages a portfolio of technology service customers, leading onboarding, adoption, account communications, performance monitoring, reporting, issue resolution, retention, renewals, and growth support. The role maintains customer relationships, tracks health and KPIs, coordinates internal teams, gathers feedback, identifies improvement opportunities, and supports fleet sustainability recommendations. It also uses Salesforce, Power BI, Excel, and other systems for account management and reporting.
Top Skills: ExcelPower BIRepair EngineSalesforceTrainual

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account