.Join us as a Founding Senior Full-Stack Software Engineer to build a scalable platform for helping product teams make sense of unstructured customer feedback data!1.
Who we are Taizen is building the AI analytics platform for qualitative data.
We recognize that making sense of qualitative data is hard and time-consuming for product teams to get an in-depth view of user pain points and product opportunities so they can build the best user experiences.
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 and end users through a deeper understanding of customer needs.
Taizen equips product 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 insight extraction at scale and providing full flexibility on how these insights are consumed and acted upon by product teams.
We've processed over 500M user datapoints 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 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 Engineers/Research Scientists and get exposed to working with machine learning models and LLMs in a production setting