AI Engineer
Builds, fine-tunes, and deploys multimodal AI models and agents for trucking logistics automation. Owns full ML lifecycle including data flywheels, evaluation, production adaptation, using Python, TypeScript, and leading AI APIs.
Vooma
AI agents for freight brokers and carriers
logisticsSan Francisco, CA1-50Series AOnsiteFounded 2023
About
Vooma builds AI agents that automate back-office tasks like quoting, load building, and order entry for freight brokers, carriers, 3PLs, and forwarders. It integrates with TMS, DAT, and Truckstop to handle unstructured data from emails, calls, and texts, reducing manual work and errors. This enables logistics teams to scale operations, win more freight, and focus on high-value customer relationships.
Open roles 9
Account Executive
Owns full sales cycle from prospecting to close for logistics SaaS platform targeting 3PLs, brokers, and carriers. Requires 3+ years B2B software sales experience, preferably in logistics/supply chain, with hunter mentality and pipeline management skills.
Enterprise Account Executive
Enterprise Account Executive owns full sales cycle for logistics SaaS platform, from outbound prospecting to closing deals with large brokers, carriers, and shippers. Requires 3+ years B2B software sales experience, preferably in logistics/supply chain.
Software Engineer: Backend & Infrastructure
Builds and maintains secure, scalable infrastructure for AI-powered agents, deploys ML workloads, manages cloud environments, IaC, CI/CD, and ensures observability and security on AWS/Azure/GCP/Kubernetes.
Forward Deployed Engineer
Builds and deploys custom integrations for AI agents into enterprise logistics systems, working directly with customers to design solutions, code APIs/pipelines, and ensure production success. Requires full-stack skills, integration expertise, and LLM experience in a fast-paced startup.
Deployment Strategist
Owns end-to-end customer relationships and implementations for enterprise logistics clients, co-creates AI roadmaps, drives ROI metrics, and spends 20% time building AI-native deployment systems. Requires 3+ years in consulting, PM, CS, or similar with strong execution focus.
Operations Associate - Deployments
Owns customer relationships, supports platform deployment and configuration, builds playbooks and automations, and contributes to scaling operations for logistics clients. Requires 1-2+ years customer-facing experience and AI enthusiasm.
Customer Success Manager
Owns customer portfolio for AI logistics platform, driving adoption, expansion, and value realization through relationship management, AI configuration, and cross-functional collaboration. Requires 2+ years customer-facing experience and AI enthusiasm.