Product Manager

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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 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

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!).

We will do our best to transparently communicate the process with candidates.

An excellent written and verbal communicator with a high level of business acumen

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

Plus

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

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

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

'Best Investment in Deeptech' award - UK Business Angels Association awards

'100 Most Disruptive UK Companies' - Hotwire

'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire

Benefits

The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference

Competitive remuneration

Share option scheme

Pension scheme

32 days paid holiday allowance (incl. bank holidays)

Equipment you need to get the job done (MacBook Pro etc.)

Good work-life balance

Opportunities for continued learning and self-development, including courses, conferences and book budget

Flexible work-from-home and remote days

Cycle to work scheme

Weekly journal club and knowledge sharing presentations

Regular team outings, pizza Thursdays and annual company retreats

Fruits, snacks and soft drinks in the office

Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm