Responsibilities
- Partner with sales, product, and operations on discovery calls, workshops, and design sessions.
- Translate customer business problems into technical architectures, workflows, and integration roadmaps.
- Act as a technical champion during onboarding, removing blockers and guiding implementations.
- Rapidly prototype integrations, automations, or agent workflows to validate fit and feasibility.
- Move prototypes into production-level code, collaborating with engineering on scalability, testing, monitoring, and reliability.
- Build and maintain SDKs, API clients, connectors, and middleware for customer systems.
- Establish and implement best practices for data modeling, prompt engineering, agent orchestration, and error handling.
- Capture customer feedback and clearly articulate it to product & engineering for roadmap prioritization.
- Produce design docs, integration guides, technical documentation, and training materials.
Requirements
- 3+ years in a solutions engineering, forward-deployed engineering, or similar technical role in a high-growth software environment.
- Proven ability to design, prototype, and ship integrations, automations, or connected applications with autonomy.
- Hands-on experience with AI/LLM tooling — e.g. LLM frameworks, orchestration platforms, or building workflows with agents and prompts.
- Exposure to at least one modern programming language (Python, TypeScript, Go, or similar) — enough to debug, troubleshoot, and build proofs of concept.
- Strong experience working directly with APIs, SDKs, webhooks, or integration layers.
- Background in customer-facing work (discovery calls, technical workshops, or implementations).
- Ability to translate customer problems into technical solutions and architectures.
- Comfort working in early-stage, dynamic environments without detailed playbooks.
- Excellent communication skills — able to present to both technical and business stakeholders.
Nice to Have
- Domain exposure in logistics, supply chain, or system integrations (WMS, TMS, ERP, etc.).
- Familiarity with APIs, webhooks, queues, messaging systems, or event-driven architecture.
- Experience with data pipelines, transformations, or orchestration frameworks.
- Prior work in AI-focused startups or tooling.
Work Arrangement
On-site — Chicago, IL
Additional Information
- Regular in-office collaboration required
