Sales · London / San Francisco / New York · Full-time · Mid level
A full cycle seller who finds and closes new business with robotics, autonomous vehicle and research teams, backed by some pipeline support. The work calls for running outbound, building trust with technical and executive buyers, and keeping clean forecasts. A strong candidate has three to seven years of enterprise or SaaS selling, has won against quota, and can hold a technical conversation without being an engineer.
How it fits the AI era
The product sells into teams training physical systems, so the seller has to grasp how data gets collected, labeled and cleaned for those models. AI tools speed up research on accounts and drafting outreach, but the judgment about where a buyer feels real pain and how to earn trust stays with the person. Deals still close on relationships and follow through.
How it builds AI experience
This role builds fluency in the data side of physical AI, from labeling pipelines to the needs of autonomy and machine learning teams. A candidate can prepare by learning how training data is gathered and cleaned for robots and vehicles, and by studying the kinds of teams that buy it. That grounding makes technical buyer conversations credible.
Worth showing
- Quota beating record
- Technical buyer sales
- Full cycle closing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Encord
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.
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