About Fortify: Modern student-financing platform that helps schools extend credit compliantly — financial aid, scholarships, payment plans, and institutional loans.

LISTEN LABS

Everyone hates surveys. They’re tedious to fill out and give shallow data. That’s because they’re only a proxy for the real thing: conversations. Through a conversation, you can ask follow-up questions and get deep insights in a way that’s fun for the interviewee. Except you can’t have 1:1 conversations with everyone…

Listen Labs has built an AI interviewer that can ask follow-up questions, like a conversation, but at the scale and ease of use of a survey.

TECHNICAL CHALLENGES

TURN QUALITATIVE DATA INTO QUANTITATIVE INSIGHTS

Listen Labs clusters free-form conversation into a structured format. This is not a trivial task. We use embeddings, fine-tuned large language models, and more to solve these problems.

ASK THE RIGHT QUESTIONS

Having a great conversation is not trivial. We’re fine-tuning and prompting in novel ways to get the right output from LLMs.

MULTI-MODALITY

We’ve built the fastest speech-to-speech pipeline but there’s a number of challenges we need to address to make it better. Our interviewer has audio input and output to the LLM and that’s tricky to get right.

INVESTORS

There’s been $30B+ of market cap created from bringing surveys online. Our partner at Sequoia, [Bryan Schreier](https://www.sequoiacap.com/people/bryan-schreier/), was the first investor in Qualtrics – the $12B survey company.

ABOUT YOU

- You love working on products end-to-end without detailed direction

- You want to work in Next.js, TypeScript, and large language models

- You are a collaborative builder and like to build systems with other engineers in mind.

- You are an excellent written and verbal communicator.

- You know when to seek assistance, and it's typically to discuss tradeoffs.

- You don't scoff at unglamorous engineering tasks, yaks don't shave themselves.

- Highly technical

- Interested in building products end-to-end and owning the user experience

- Excited about large language models

WHAT WE OFFER

- $150,000 - $200,000 USD in cash.

- High equity grant even for an early stage startup.

- Work in person in our office @ 425 2nd St in San Francisco.