causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.
We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.
Summary
As we continue to rapidly expand our business, we now require a General Manager - US Public Sector to help us take advantage of the massive opportunity being presented by Causal AI.
We need a dynamic, accomplished person with a proven track record in a similar ‘start-up to scale-up’ technology environment who is capable of leading an entire business line.
The ideal candidate will relish the breadth of responsibility required to work in a fast growing scale-up organisation and will be solely accountable for all the commercial & product aspects for a specific sector within The Public Sector.
We are committed to diversity and are committed to ensuring that everyone feels at home
and can contribute as a peer within the business.
Roles and Responsibilities
The Company
Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.
We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.
causaLens in the News
causaLens raises $45m Series A to scale Causal AI - Tech Crunch
Best Deeptech Company 2019 - Artificial Intelligence Awards
‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance
‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes
‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times
‘Machine Learning Companies to watch in Europe’ - Forbes
'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
‘Best Investment in Deeptech’ award - UK Business Angels Association Awards
‘100 Most Disruptive UK Companies’ - Hotwire
Benefits
We may be biased but we believe you’ll be in good company. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! This truly is an exciting opportunity to join a fast-growing and agile team, passionate about innovation and making a difference.
We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:
Share Option Scheme
Generous education and self-development budget
Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)
Work abroad 2 weeks per annum
Cycle to work scheme
Regular team socials inc. ‘Achievements & Global Cuisine Thursdays’ and annual company retreat
Office snacks and drinks to stay refreshed
Logistics
Our interview process consists of a few online interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.
causaLens is a deep-tech startup based in London - our vision is to optimise the global economy. We develop autonomous predictive technology for complex and dynamic systems, leading causality and time-series research. Our technology helps large or...
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