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
- Extensive backend engineering experience, but also comfortable in a React front-end codebase
- Intimate familiarity with Python and Typescript, and not afraid to dive into Rust when needed
- 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
- Have started a project from scratch
- Might have led a project, been a founder previously, or built an impressive side project with real users
- Go deep. Enjoy understanding all the details, and you don’t make assumptions without checking them
- Experience building a platform for a product based on data analysis and predictions
- Extensive work with time series data and systems delivering real-time data streams