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.
We are looking for a motivated and high-achieving Product Manager based in London to join our Product team in building a platform to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.
Roles and Responsibilities
We are looking for an exceptional and ambitious Product Manager to help our team of world class engineers, data scientists and commercial executives develop our Causal AI platform. You’ll wear many hats, serving as the internal and external evangelist for our product offering. Some of your responsibilities will include:
Work directly with our CTO to define product strategy and roadmap, and operationally drive it forwards
Communicate with internal and external users to scope and prioritize work items based on business and customer impact, gain a deep understanding of customer experience
Identify and fill product gaps, solicit and capture new ideas that improve customer experience and drive growth
Coordinate tasks with the development team and support marketing/sales teams in the effective commercialisation of our product using agile methodology
Make decisions on product design / API design in line with user requirements
Highly capable, detail-oriented, energetic, collaborative, and personable
Naturally curious and effective problem solver
Ideally, you should be able to work in London or be able to commute. Candidates outside of London (or the UK) who are interested in relocating will be considered
Previous Project Management, Product Management or Scrum-master experience
Experience in the AI / Machine Learning / Data Science / Data Analytics / Big Data industry.
Conceptual understanding of concepts in AI / Machine Learning / Data Science.
User experience design skills
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.
causaLens in the News
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
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
Our interview process consists of a few screening 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.