VP Engineering London, England
Job description
Voted by Forbes as one of the top 25 machine learning startups of 2021, and the CogX 2021 Best AI product in healthcare. V7's mission is to enable any business to create and leverage vision AI and solve any visual task.
If you're not familiar with V7, here's our product in 100 seconds: https://www.youtube.com/watch?v=BMzpcremyIY&t=5s
We are a venture-backed team harnessing and curating the AI data of some of the world's most ambitious tech companies and AI startups. What sets us apart is our team's obsession with pushing our product to where AI will be three years from today. The product sells itself to the right user, yet we must continue to attract and hire incredibly smart people to continue this path.
About the Role:
We recently raised $33m Series A and are growing fast, therefore we are looking for a VP Engineering with strong experience in building and growing efficient and high-quality Engineering teams.
As VP Engineering, you will report to the CTO and complement his technical skills, taking the lead on the execution and day-to-day running and scaling of our Engineering department.
What You'll Do:
Drive continuous improvement and innovation in the engineering team to improve quality, productivity and efficiency.
Managing and mentoring the Engineering team, helping them to grow their skills and advance in their careers.
Managing and tracking the team’s performance metrics and goals, and providing regular feedback and coaching to team members.
Review and approve engineering execution plans and their alignment with the project execution plans.
Work with the Engineering Managers and Leads to ensure that project resource plans are realistic and match the remaining work to go on projects.
Overseeing the hiring and onboarding of new Engineering team members.
Making sure engineering delivery business procedures and best practices are being used.
Ensure that the Engineering team size and make up is matched to the business needs.
Overseeing the hiring and onboarding of new Engineering team members.
Participate in review meetings with a critical eye to risk opportunities and risk reduction as required.
Who You Are:
Previous experience in a similar Engineering Leadership role, with responsibility of managing multiple engineering teams from the people and delivery side; you know how to manage people effectively and create repeatable, scalable processes.
You have experienced hyper-growth at a product-led, VC-backed SaaS startup or scale-up.
You have scaled an Engineering organisation from around 50 engineers to 150+ in size.
You don't need to be a Machine Learning expert, but we'd love it if a percentage of your previous engineering team were solving Machine Learning, Data Science or Deep Learning problems.
You have the ability to develop this part of the organisation by being a manager of managers, initiating and taking strategic action, conveying our mission and purpose from a business and technical perspective.
Guide the Engineering teams through change and improvement of overall processes.
Proven ability in building a strong engineering culture with a focus on employee morale and motivation, talent development, management of performance and conveying purpose.
Excellent communication skills, with the ability to communicate effectively across the organisation.
Ability to take ownership and initiate plans.
You thrive in a start-up environment and have a big interest in working in a hyper growth company with the passion to grow and shape a motivated and high performing engineering function.
Benefits:
Unlimited vacation, just tell us when you need time off.
Stock options.
Work from anywhere, but our London HQ is in the heart of Soho.
7-day company retreats in stunning locations.
Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times
New Apple hardware.
Central London office with standing desks and 4K monitors.
