About the role
As an Solutions Engineer, you collaborate with sales teams to ensure key V7 customers achieve twice the impact in half the time
You will thrive on understanding technical leaders challenges and requirements and delivering complex solutions and POVs
You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability
You will join a team a high performing team of four, supporting the wider sales team on key deals and customer proof-of-values. V7 is an self-serve product, however complex problems sometimes require complex solutions that customers don't always see - that's where you come in
Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more. You will present your findings to customers alongside sales
Technical integrations: You will work with our product team to assist with the integration of new models and ML-Ops tools into V7
About the company
AI is currently utilised across multiple industries, requiring companies to continuously collect, organise and label image data so that AI models will be able to adapt to new scenarios. V7 Labs is a computer vision platform that helps AI teams develop vision-based models that are learning continuously from training data with minimal human supervision.
V7 distinguishes itself in the market by condensing the most effective tools for organizing datasets into a single SaaS platform. The company says that using only 100 human-annotated examples in its toolkit can label the rest of the training data autonomously. Although its main business specialisations are in medicine and health sciences, its product is being picked up by tech companies in other sectors, and it now counts more than 300 customers including Siemens and GE Healthcare.
The startup has recently raised funding in a Series A round led by Radical Ventures and Temasek. It will use this investment to hire more engineering and sales talent, develop its product, and expand its market share.
