Account Executive, Data as a Service

present of AI; Greater London; A distancia; GBP 52.000 - 89.000; Jornada completa

Descripción de la vacante

Encord is seeking a mid-level enterprise SaaS seller to win new business across London, San Francisco, and New York. You will run outbound, build trust with technical and executive buyers, and maintain accurate forecasts.

A successful candidate typically has 3–7 years of enterprise or SaaS selling, a proven quota-beating record, and the ability to discuss technical topics without engineering support. This role emphasizes full-cycle closing in a fast-growing AI data platform space.

Formación

• 3–7 years of enterprise or SaaS selling experience.
• Quota beating track record against targets.
• Ability to discuss technical topics with buyers without engineering help.

Responsabilidades

• Run outbound prospecting to build and fill the pipeline.
• Win new business and close deals end-to-end.
• Engage with both technical and executive buyers to earn trust.
• Keep accurate and clean sales forecasts and reports.

Conocimientos

Enterprise SaaS selling

Quota beating

Full cycle closing

Outbound selling

Technical conversations

Descripción del empleo

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.