Vooma is a platform for logistics companies to build and manage AI workers that handle quoting, load building, scheduling, coverage, and tracking of freight. With Vooma's AI agents, customers have seen significant improvements such as covering 20-30% of loads with voice agents, reducing load building time from 5 minutes to 15 seconds, and quoting five times more freight per rep per day. Backed by $16.7M in funding and supported by leading logistics companies, Vooma helps streamline operations and redeploy staff to revenue-generating activities.
Open Positions
Enterprise Account Executive
3+ years B2B software sales exp., logistics or supply chain. Strategic mindset, pipeline management skills, and strong communication skills
Founding SDR
1–3 years of B2B SDR, BDR, or outbound sales experience; proven track record of hitting or exceeding activity and pipeline targets; experience with outbound tools and CRMs
Deployment Strategist
4+ years of experience in relevant field, strong communication skills, experience in cross-functional collaboration
Founding Designer
6-8 years of experience in UX design, Bachelor’s degree in Design, HCI, or related field (or equivalent experience), Strong expertise in Figma and design systems
Forward Deployed Engineer
Full-stack builder mindset, Integration expertise, LLM/agent experience, and strong communication skills
Customer Success Manager
Several short requirements mentioned in the job description, at most 3 short requirements, 200-250 characters in total. Has a growth mindset, a service orientation, and a professional and warm communication style. Extremely organized and able to thrive in ambiguity
Software Engineer
Experience working at a startup, building a web-based product, and expertise in cloud infrastructure platforms
Account Executive
Hunter mentality, 3+ years of B2B software sales experience, and experience in logistics technology or supply chain software
Operations Associate
2+ years of experience in operations, customer success, or a related field. Strong analytical, communication, and problem-solving skills
Software Engineer: Backend & Infrastructure
Experience in deploying and productionizing ML/AI workloads, expertise in building secure scalable systems, and deep knowledge of backend systems