Senior Software Engineer

Join us as a Founding Senior Software Engineer to build the next generation AI analytics platform for helping product, marketing and sales teams make sense of customer feedback at scaleInscríbase sin demora Se espera un gran volumen de solicitantes para el puesto que se detalla a continuación, no espere para enviar su CV.This is not a full remote role so you are expected to work at least 4 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 or data platform organization.Salary Range :60-75k / year1. Who we areTaizen is building the next-generation AI insights platform for customer feedback. We recognize that making sense of qualitative customer feedback from multiple feedback sources is manual and time‑conscious 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 the customer voice.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 500M 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 yourbandWe 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 Senior Software Engineer with a strong Data and Backend background to join our growing team. As a Founding Engineer on the team, you will be responsible for building a scalable backend infrastructure for our data‑intensive web app, optimizing storage / database workloads, ensuring high availability for our AI / ML backend services, scaling our integrations with multiple tools for ingesting different data types, and building robust data pipelines for data transformation and processing. You’ll partner closely with Full‑Stack Engineers and AI / ML Scientists to ship production systems powered by LLMs and ML models.Key ResponsibilitiesBuild and own scalable backend services for our data‑intensive web app and AI / ML model servingMake database and storage trade‑offs to optimize for the best performance when managing large amounts and varieties of data, including vector storesBuild robust batch and real time data pipelines that can scale with increased load and dataBuild and maintain data integrations with different data sources and platforms (source and sink)Design 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 / writesImplement and manage a robust workflow orchestration for multiple data jobsSetup robust testing practices, monitoring and observability to ensure the reliability of all services and data pipelinesStay up‑to‑date with Software Engineering and Data 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‑haveExperience building scalable data pipelines, orchestrating workflows and optimizing pipelinesExperience working with data warehouse technologiesExperience working with TypeScript / NodeJS / Python and a strongly typed languageVery comfortable working across the data and backendComfortable managing cloud infrastructure for backend, ML and data pipelines at scale (DevOps)Ability to work collaboratively with cross‑functional teams including Frontend and Machine Learning EngineersAdditional RequirementsPrevious experience working with LLMsFamiliarity with vector databases / storesAbility to work across the stack and pick up new tools / technologiesStrong problem‑solving skills and ability to work in a fast‑paced environmentExcellent communication and interpersonal skills3. Why you definitely want to work with usAsides 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. xsgfvud And of course, you will get a competitive salary, significant equity ownership and professional development opportunities#J-18808-Ljbffr