Senior software engineer (full-stack)

Join us as a Founding Senior Full-Stack Software Engineer to build the next generation AI analytics platform for helping product, marketing and sales teams make sense of customer feedback at scale!This is not a full remote role so you are expected to work at least 3 days a week in the office.This role is not suitable for you if you have been working mainly on freelancing projects or only in consulting. We require strong experience working on the same product over a long period of time within a product organization.1. Who we are Taizen is building the next-generation AI analytics platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time-consuming for product, marketing and sales teams to get an in-depth view of customer pain points and identify opportunities to drive sales and retention leading to millions of euros in incremental revenue. The next frontier of knowledge work will be AI-assisted and our mission is to accelerate this transition into an AI-first world by enabling companies create more value for their customers through a deeper understanding of customer needs. Taizen equips teams with the super powers to go beyond tracking explicit user actions to gleaning insights from unstructured customer feedback data from multiple feedback sources and customer touchpoints. We do this by simplifying complex data collection and reconciliation from multiple sources to ensure high-quality data at the source, automating AI insight extraction at scale and building agents that "gets your insights job done" on your behalf without needing a data scientist or data analyst. We’ve processed over 500 M user signals to date and serve several data-driven and Enterprise companies. If you’re excited about the potential to redefine what the future of data-driven organizations should look like in an AI-first world, then you just might have found yourband! We are a VC-backed company built by two founders who spent the last 6 years at Spotify shipping personalized listening experiences to millions of Spotify users globally.2. About the roleWe are currently seeking an experienced Full-Stack Software Engineer to join our growing team. As a Founding Engineer on the team, you will be responsible for building a sleek frontend user experience, a scalable backend infrastructure for our data-intensive web app, integrations with multiple tools for ingesting data and data pipelines for standardizing data. You will work closely with our AI Scientists and get exposed to working with machine learning models and LLMs in a production setting.Key ResponsibilitiesDesign, prototype, implement and own product features end-to-endBuild and own the frontend and backend for our data-intensive web appBuild and maintain a robust and scalable backend infrastructure to power several AI-intensive workloadsBuild and maintain one-click integrations with different data sources and platformsDesign and manage the evolution of flexible data models and database infrastructure to handle different types of data sources and data points, optimizing for fast reads / writesBuild data pipelines to clean, standardize and process data from multiple sourcesSetup robust testing practices, monitoring and observability to ensure the reliability of all the components of our infrastructureStay up-to-date with Software Engineering Best PracticesMinimum QualificationsBachelor's or Master's Degree in Computer Science or a related fieldSolid CS fundamentals and distributed systems knowledge is a must-haveStrong experience working with React / Next JS / Type Script / Node JSVery comfortable working across the stack (primarily frontend and backend)Experience with building responsive web applications and scalable backend servicesComfortable managing frontend and backend cloud infrastructure at scale in a production environment (Dev Ops)Ability to work collaboratively with cross-functional teams including Machine Learning EngineersAdditional RequirementsFamiliarity with building data pipelines is a plusAbility to work across the stack and pick up new tools / technologiesStrong problem-solving skills and ability to work in a fast-paced environmentBonus points for previous experience working on Machine Learning, LLM or Data platformsExcellent communication and interpersonal skills3. Why you definitely want to work with us Asides from being part of an exciting mission and building things from scratch, you’ll be part of a small fun and ambitious team that loves moving fast and trying things out. You’ll be doing one of the most impactful works of your career, making people’s lives better through AI. You will work hard, but we will celebrate the small and big wins together. We will organize company offsites a few times a year to work and play together. And of course, you will get a competitive salary, significant equity ownership and professional development opportunities!