4 months ago
Remote, United StatesSenior
Responsibilities
- Embed with internal teams to map workflows and identify high-leverage automation opportunities.
- Build and ship production agentic AI systems for CX, finance, operations, logistics, and engineering teams.
- Develop AI-powered tooling for issue triage, reconciliation, exception handling, reporting, dashboards, alerting, and operational data access.
- Create end-to-end workflow automation pipelines and reusable automation modules.
- Integrate OMS, WMS, TMS, billing, and other internal systems through APIs and event streams.
- Build internal developer productivity tools, lightweight APIs, and agentic workflows that help engineers write, review, and ship code faster.
- Develop internal data products, automated reporting, alerting, dashboards, and self-service data interfaces.
- Instrument production agents with logging, tracing, monitoring, alerting, retries, and edge-case handling.
- Embed with teams, validate solutions with domain experts, iterate quickly, and collaborate with Product Engineering when core platform systems are affected.
- Document and publish reusable engineering and automation patterns.
Requirements
- 3+ years of production backend experience with TypeScript and Node.js.
- Production experience building AI agents that automate real workflows, not just prototypes or demos.
- Claude Code, Cursor, Codex, or an equivalent CLI-native AI-assisted development environment as a primary development tool.
- Experience integrating OpenAI, Anthropic, or equivalent LLM systems, including tool use, structured outputs, prompt engineering, and error handling.
- Experience designing RESTful APIs from scratch and integrating complex internal systems.
- Production observability experience, including logging, tracing, monitoring, and alerting.
- Advanced SQL and PostgreSQL experience, including data modeling and meaningful query development.
- Ability to identify valuable problems, propose solutions, and drive work to completion with minimal direction.
- Experience building reliable production systems with attention to failure modes, monitoring, and operational concerns.
- Strong communication, ownership, accountability, collaboration, learning agility, and technical judgment.
- Preferred experience automating operational or back-office workflows in areas such as finance, support, logistics, or HR.
- Preferred familiarity with Elixir/Phoenix, Kafka, TypeScript, and GCP.
- Preferred experience with vector databases, semantic search, internal developer tools or platforms, and Python.
- Nice-to-have experience with early-stage startups, hackathons, open source, logistics or supply chain, and workflow orchestration tools such as Temporal, Prefect, or Airflow.
Benefits
- High autonomy and greenfield scope for defining Stord’s internal AI automation approach.
- Direct feedback from internal users and company-level visibility for AI enablement work.
- Opportunity to build reusable modules and patterns that accelerate future automations.
- The role supports embedded, cross-functional work with CX, finance, operations, logistics, engineering, and Product Engineering teams.
Tech Stack
Categories
Forward Deployed
About Stord
Stord provides a commerce enablement platform that combines third-party warehousing and transportation with OMS, WMS, and post‑purchase software for brands selling online and omnichannel. Its business model blends 3PL fulfillment and freight services with SaaS subscriptions. Founded in 2015 and headquartered in Atlanta, it operates a fulfillment network across the U.S., Canada, and Europe, and serves brands such as AG1, Native, and quip.