Enterprise Account Executive, V7 Labs

£220-260k

OTE

£110-130k

BASE

Senior and Expert level
London

1-4 days a week in office

V7 Labs

Speed up ML development, automate tasks with AI, and improve efficiency.

Job no longer available

V7 Labs

Speed up ML development, automate tasks with AI, and improve efficiency.

21-100 employees

B2BArtificial IntelligenceBig dataComputer VisionSaaS

Job no longer available

£220-260k

OTE

£110-130k

BASE

Senior and Expert level
London

1-4 days a week in office

21-100 employees

B2BArtificial IntelligenceBig dataComputer VisionSaaS

Company mission

We exist to help turn valuable human knowledge into cutting edge AI, and play a major role in the evolution of AI as a technology.

Role

Who you are

  • You have 5+ years of experience and success in enterprise SaaS sales
  • You have a track record of successfully selling to enterprise customers with $3bn+ revenues
  • You have had success in another fast-paced SaaS startup or scale-up during a high-growth phase
  • You have expertise in selling technical products to technical buyers
  • You’re hugely curious and are constantly learning and working on honing your sales craft
  • You will ideally have sold a solution in the Machine Learning, MLops, AI or Data Analytics space, but we’re happy to consider top SaaS enterprise salespeople from other sectors
  • You have a keen interest in AI and V7's wider application

What the job involves

  • Here are some examples of deals you may close:
  • Global restaurant chains using our tech to spot blemishes and damage in food at the factory level and saving millions in QA
  • Oil & gas companies inspecting their infrastructure via cameras and drones on a daily basis in an ever-improving system of corrosion or damage detection
  • Processing tens of millions of parcel shipments paperwork that no other software on the market is able to read
  • Healthcare giants storing millions of digital pathology images and processing them automatically to pre-screen for cancer in tissue samples
  • Automotive companies annotating the training data for self-driving cars 10 times faster than manual approaches

Salary benchmarks

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Insights

Top investors

31% female employees

74% employee growth in 12 months

Company

Company benefits

  • Top 15% quartile equity options plan through an EMI scheme
  • Private Healthcare via Vitality
  • Learning and Development wallet of £800 per year
  • Monthly well being and mental health budget
  • Personalised benefits platform via Thanks Ben
  • Enhanced parental leave
  • 25 days paid holiday with unlimited additional days
  • 4-day company-wide and 4 day departmental retreats in stunning locations
  • Visit London to meet us in our HQ. We have a barista & plenty of snacks
  • Hybrid working with flexibility or remote working
  • Temporary work from anywhere for one month in the calendar year
  • Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
  • Apple hardware provided plus a £500 budget from home office equipment

Funding (last 2 of 3 rounds)

Nov 2022

$33m

SERIES A

Jul 2021

$7m

SEED

Total funding: $50m

Our take

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.

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Kirsty

Company Specialist at Welcome to the Jungle