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Senior PreSales Engineer - Causal AI at causaLens

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  • London
  • fulltime
  • -
  • causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.

    We are on a mission to build truly intelligent machines - it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, causaLens is the right place for you. Everything we do is at the forefront of technological advancements and we are always on the lookout for people to join us whose skills and passion tower above the rest.

    Since the company was established in 2017, causaLens has:
    🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here

    🦄Raised $45 million in Series A funding
    🏆Named a leading provider of Causal AI solutions by Gartner - here
    🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career


    Our Mission

    To radically advance human decision-making.

    Our Vision

    A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.

    Head to our website homepage and watch the ‘Why Causal AI’ video to learn more.


    The role

    We are looking for a Senior PreSales Engineer based in London to join us in building a platform to optimise every business on the planet. This is a full-time placement working closely with the Director of Value Engineering  with significant opportunities for personal development.

    What you'll do

    The PreSales Engineer will work alongside our team of world class engineers, data scientists, and commercial executives to help us become one of the most recognized names in Tech. You will wear many hats, while working to uncover a customer’s business pain points and identify opportunities to build creative solutions using the causaLens platform.


    Some of your responsibilities will include:

    • Own the Value framing & delivery during pre-sales & post-sales for all relevant stakeholders including Data Science teams, use case owners & executives. You will be working closely with our sales & data science teams to ensure we are all aligned on how our customer perceive & realize the value of our platform

    • Liaise with subject matter experts to understand existing pain points and limitations in the market, and uncover where Causal AI can add value

    • Act as technical expert in client meetings, conducting and coordinating demos and platform trials that demonstrate the business value of causaLens’ solutions

    • Define technical deliverables and own the customer success during the pre-sales period

    • Look for upselling and cross-selling opportunities within our existing and growing customer base

    • Collaborate with Commercial, Product and Engineering to ensure customer priorities are being met, and ROI and success in the pre-sales process is delivered

    Job requirements
    • Bachelor’s degree or above in Computer Science, Engineering or related fields

    • 2+ years pre-sales experience at an enterprise analytics company, or consulting experience 

    • Supported large enterprise software deals

    • Experience with ML/AI

    • Domain expertise in at least one of the following verticals: Retail, FMCG, Banking, Manufacturing, Marketing Analytics, Consumer Goods, Supply Chain

    • Excellent commercial awareness with the ability to influence and guide senior stakeholders on technical solutions combined with a creative, problem solving approach

    • ​​Motivated by business growth with the natural ability to work in a diverse and complex organisation diving into multiple verticals

    About causaLens
    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 may be biased but we believe you’ll be in good company. We offer a hybrid working set up and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. 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!

    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

    What we offer
    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:

    • Access to mental health support through Spill
    • Competitive salary
    • 25 days paid holiday plus bank holidays
    • Share options
    • Pension scheme
    • Happy hours and team outings
    • Referral bonus program
    • Cycle to work scheme
    • Friendly tech purchases
    • Office snacks and drinks


    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.

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