Senior Software Engineer (Full-Stack)

Join us as a Founding Senior Full-Stack Software Engineer to build the next generation customer insights 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 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 organization.

Salary Range : 60-75k euros / year

1. Who we are

Taizen 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-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 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 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

Bachelor's or Master's Degree in Computer Science or a related field

Solid CS fundamentals and distributed systems knowledge is a must-have

Strong experience working with React / NextJS / TypeScript / NodeJS

Very comfortable working across the stack (primarily frontend and backend)

Experience with building responsive web applications and scalable backend services

Comfortable managing frontend and backend cloud infrastructure at scale in a production environment (DevOps)

Ability to work collaboratively with cross-functional teams including Machine Learning Engineers

Additional Requirements

Familiarity with building data pipelines is a plus

Ability to work across the stack and pick up new tools / technologies

Strong problem-solving skills and ability to work in a fast-paced environment

Bonus points for previous experience working on Machine Learning, LLM or Data platforms

Excellent communication and interpersonal skills

3. 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!