Senior Software Engineer (Full-Stack)

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 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 your band!

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 role

We 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 Responsibilities

• Design, prototype, implement and own product features end-to-end
• Build and own the frontend and backend for our data-intensive web app
• Build and maintain a robust and scalable backend infrastructure to power several AI-intensive workloads
• Build and maintain one-click integrations with different data sources and platforms
• 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 / writes
• Build data pipelines to clean, standardize and process data from multiple sources
• Setup robust testing practices, monitoring and observability to ensure the reliability of all the components of our infrastructure
• Stay up-to-date with Software Engineering Best Practices

Minimum Qualifications

Additional Requirements

3. Why you definitely want to work with us

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