
Vooma
San Francisco, CA
AI agents for freight brokers and carriers
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.
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11SDR responsible for building outbound pipeline through high-volume cold calls, multi-channel prospecting, and testing messaging/sequences for logistics executives. 0-3 years B2B sales experience; based in or willing to relocate to San Francisco.
Founding Product Marketer responsible for positioning, messaging, product launches, sales enablement, content, and turning customers into advocates for an AI-powered logistics platform. Requires B2B PMM experience, sharp writing, product instincts, and comfort with ambiguity in a non-tech industry.
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.
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 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.
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.
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.
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.
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.
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.
Builds and scales automation technology, data infrastructure, and web-based products for logistics customers at an early-stage startup. Works closely with founders and requires expertise in cloud platforms like AWS, Azure, GCP.