Empresa:

Taizen

Descrição da Função

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 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 Engineers/Research 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
• Support with building agentic workflow prototypes with LLMs
• 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

Qualifications

• Strong software engineering/CS background
• 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)
• Familiarity with building data pipelines
• Ability to work collaboratively with cross-functional teams including Machine Learning Engineers
• Bonus points for experience working on Machine Learning, LLM or Data products

Additional Requirements

• 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
• 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!

Observações

Lisboa (Portugal)