Founding Software Engineer

We are on a mission to create the forecasting foundation model to rule them all. Forecasting drives critical decisions worldwide - impacting staffing, supply chain management, finance and more. Our solution provides companies with the models, platform and APIs they need to easily generate the most accurate forecasts possible, helping to significantly reduce waste and enabling smarter, more confident decisions.

As our founding software engineer, you will have the ability to pick up nearly any part of the stack when needed, from developing our customer-facing APIs, robust data pipelines, or our web application. You’ll work closely with our founding data engineer, data scientist and machine learning engineers on challenging (often greenfield) problems.

You are passionate about your craft, maintain high standards, stay current with the latest tech and know when to make trade-offs to deliver results efficiently. We do not believe great engineers are “jack of all trades”, but rather that they excel at diving deep into complex topics quickly, leveraging a broad range of experiences to solve challenging problems. You are also open to exploring new concepts, technologies, and enjoy quickly throwing prototypes together to kick the tires. You prefer quick feedback loops, rather than aiming for perfection on the first try.

• Design and build a scalable platform capable of handling diverse datasets with a plethora of different data types and dimensions (numerical data, text, images…).

• Develop interactive tools that enable real-time exploration and prediction, delivering actionable insights to customers within seconds.

• Create robust APIs and SDKs for seamless interaction with time series data on our platform, prioritizing security and an exceptional developer experience.

• Develop monitoring and alerting systems to ensure platform reliability, quickly detect anomalies, and maintain seamless operations at scale.

• Build automation systems for scraping data from diverse sources, including financial reports, news, and publicly available datasets.

• Collaborate with data engineers to integrate machine learning models into data pipelines and streamline deployment pipelines.

• Gather and act on user feedback, iterating on platform features to maximize customer satisfaction and impact.

• Mentor and guide future team members, helping shape a high-performing engineering culture as the team grows.

• You have extensive backend engineering experience, but also feel comfortable in a React front-end codebase.

• You are intimately familiar with Python, and Typescript, and not afraid to dive into Rust when needed. You follow programming language development for at least one language.

• Strong drive and ambition - you really care about having an impact on the product, and revenue.

• You have started a project from scratch. You might have led a project, been a founder previously, or built an impressive side project with real users.

• You go deep. You enjoy understanding all the details, and you don’t make assumptions without checking them.

• You’ve already built a platform for a product based on data analysis and predictions.

• You’ve worked extensively with time series data and systems delivering real-time data streams.
  

• Be part of an elite, diverse and fun team. We celebrate having people with different backgrounds who are the best at what they do. We especially enjoy working with cracked people with nonlinear paths. Our CTO was a theater consultant in another life. 🎭

• Make the world more efficient. In business, success is driven by smart decision-making. By providing the most accurate insights as early as possible, we help ensure that more decisions lead to successful outcomes, creating a positive impact worldwide.

• Satisfy your curiosity. Learn how the world works, from within household-name companies.

• Build state-of-the-art systems. Shape our infrastructure to handle and deliver state-of-the-art multi-modal forecasting systems.

• Generous equity

• Daily lunch vouchers

• Gym in the office

• Monthly contributions to a mobility pass

• Full health insurance for you and your family

• Tasty caffeine in the office

Our goal is to provide the most accurate and easy-to-use forecasts to our customers, by leveraging refined information from their own industry. Foundation models for time series are changing this entirely. With the current advances in data processing and model training, we can now pre-train models on diverse temporal data across industries. We provide value to our customers by enabling rapid interaction with our models when provided data and context in natural language, delivering real-time forecasts with accuracy reports. Our customers do not need to be data scientists or have a PhD in Machine Learning to build and ship an accurate forecasting system for their use-cases.

Example use cases include demand forecasting for large furniture chains, predicting sales for a restaurant group and revenue forecasting in the gaming industry.

The founders Geoff and Joachim are both Machine Learning PhDs who have built forecasting and ML systems from scratch at JP Morgan, Amazon, Google, Bloomberg, and Sonos in the US.

We are a global company that happens to be HQed in Paris. Get the best of both worlds — Silicon Valley work ethic and ambition in the center of Paris, right across from the historical Stock Exchange, in the Sentier.