Akur8 is a young, dynamic, fast growing Insurtech startup that is transforming insurance pricing and reserving with transparent machine learning.

Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes.

Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented way.

This results in a pricing solution which not only allows insurance companies to model their risks 10 times faster, with a higher predictive power than traditional methods, but which also incorporates next generation reserving functionalities, helping to predict and legislate for future claims, therefore constituting a major game changer for the insurance industry.

Akur8 has already been selected:

• In CB Insights Top 50 World Insurtech Companies 2023
• In Insurtech Global’s Top 100 AIFinTech list 2023
• In Fintech Global’s Top 100 AIFinTech list 2023
• As No.24 in Sønr’s World Top 100 Insurtech Companies 2022
• As 3rd best overall (worldwide) in the CodinGame 2022 Software Engineering Fall Challenge

With 35 nationalities within our team, and offices in Paris, London, New York, Tokyo, Milan, Cologne, Atlanta and Montréal, Akur8's solution is international by design.

Servicing more than 250+ clients across 4 continents and targeting all non-life insurance carriers, we focus on more mature markets for faster expansion.

To learn more about Akur8, and what we do, click here.

Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination.

Insurance pricing is a complex process encompassing statistical modeling, visualizations and team collaboration.

Akur8 software strives to increase efficiency, performance and transparency of the pricing workflow, designing flexible modules and processes leveraging our proprietary machine learning algorithms.

As optimal machine learning models should be intuitive, easy to test and analyse - in order to identify errors - our Machine Learning Product Managers conceptualize key features, empowering the actuary of the future whilst simultaneously upskilling and eliminating pitfalls for the end user.

Driving our innovation, the Machine Learning Product Manager will be directly responsible for decision making regarding one of the modules of our suite of softwares (whether independently or as part of a committee, according to strategic importance).

A cross-functional role, providing a wide range of interactions with various internal teams (Design, R&D, Sales, Marketing), being a Product Manager in our organisation requires knowledge of how the different parts of our platform interact (something that you’ll gain both during your onboarding period and on an ongoing basis).

Furthermore, it involves discussions with our clients, understanding their needs and - as a consequence - our value proposition and opportunities for product evolution.

Over time, you’ll gather market information, extract the relevant elements and schedule the planning of product development to the next level, including:

• Being a driving force for a whole product section
• Discussing with all stakeholders to understand constraints and take the appropriate decisions
• Focusing on the ‘why’ behind building features, and being able to prioritize
• Cultivating a product-oriented culture within the company

Main responsibilities:

• Constantly acquiring a deep understanding of pricing techniques
• Designing clean solutions and develop plans for successful delivery
• Conducting experiments with internal teams and partners
• Prioritizing and scoping features for internal development squads
• Animating training sessions for clients, prospects and colleagues