VP Product - causaLake

Job description

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

We are looking for a VP Product - causaLake based in London, NYC or the Bay Area to join us in perfecting our causaLake product, a key module of our enterprise Causal AI Decision-Making Platform.

 

Roles and Responsibilities

We are looking for an exceptional and ambitious VP Product - causaLake, reporting to the Chief Product Officer, to help our team of world class engineers, data scientists and commercial executives develop our Causal AI platform. Some of your responsibilities will include:


  • Refine and execute the causaLake product strategy, consistent with company vision

  • Prioritise the development of new features

  • Collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products

  • Build & manage a team of product analysts & UX/UI designers

  • Ensure products and releases are launched correctly and on schedule

Job requirements

  • 3+ years building & managing Data/Data Ops/Data Management products

  • Experience managing products that generate at least $10M ARR

  • Excellent communication skills, team development, hiring and team career nurturing skills

  • Previous experience as product manager at a Series B/C technology startup is a plus


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.

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 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.