We are looking for a hands-on, business-minded, and relentlessly curious builder. This role sits at the intersection of AI technology and business operations, embedded within our R&D organization but working daily with Marketing, Sales, Finance, and other departments. You will identify high-friction workflows across these teams, translate them into AI agent solutions, and ship them. You are not a passive consultant: you prototype, you iterate, and you own outcomes. You bring enough technical fluency to build production-ready agents using modern LLM tooling, and enough people skills to earn trust from non-technical stakeholders.
LOCATION: Anywhere in Brazil - RemotelyPartner with Marketing, Sales, Finance leaders, and other business teams to identify repetitive, high-volume workflows that are strong candidates for AI automation.
Design and build AI agents using no-code and low-code platforms (Claude, n8n, etc).
Run discovery sessions with business stakeholders: map current-state workflows, document pain points.
Own the full delivery lifecycle: prototype, test with end users, iterate, and hand off with documentation and training.
Maintain a prioritized backlog of automation opportunities across business units, informed by business impact and implementation effort.
Build and run an internal AI Agents enablement program: run hands-on workshops, publish reusable templates and playbooks, and coach business teams so they can build and maintain their own agents over time.
3+ years in a business operations, process improvement, or technical enablement role.
Demonstrated hands-on experience building automated workflows or AI agents using modern tooling (n8n, Make, LangChain, Claude, or equivalent).
Comfort working with LLMs through prompt engineering: you know how to get reliable, structured outputs from a model.
Ability to conduct business process discovery with non-technical stakeholders and translate findings into actionable specs.
Fluent English; clear written and verbal communication for both technical and non-technical audiences.
Strong bias for shipping: you prefer a working prototype over a perfect design document.
SQL or Python for data extraction and lightweight scripting.
Familiarity with enterprise tools commonly used by business teams: Salesforce, HubSpot, Slack, Google Workspace, Netsuite.
Background in supply chain, freight, or logistics operations
Background in software engineering
Other open roles at Loadsmart(6)
Loadsmart offers transportation services and software solutions that enables shippers, carriers, and warehouses to move more with less.
Key team members

Alain Avakian

Ivan Linhares Martins

Tanja Sokolovic, MBA

Sean Lewis
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.