Enterprise Account Executive, V7 Labs

£220-260k

OTE

£110-130k

BASE

Senior and Expert level

London

1-4 days a week in office

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

Job no longer available

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.

Job

Company

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

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.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% female employees

74% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 3 rounds)

Nov 2022

$33m

SERIES A

Jul 2021

$7m

SEED

Total funding: $50m

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

Company HQ

Fitzrovia, London, UK

Leadership

Alberto Rizzoli

(Co-Founder & CEO)

Previously CEO at Aipoly, the first smartphone engine for convolutional neural network. Management & Stats grad at Cass Business School & Singularity University. Never had a real job.

Simon Edwardsson

(Co-Founder)

Studied Computer Engineering at Chalmers University of Technology. Previously Co-Founder at Aipoly and Lead R&D Engineer at Retail Solutions Inc.

Share this job