What are the responsibilities and job description for the Founding Product Engineer - Listen Labs position at Pear?
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](, was the first investor in Qualtrics - the $12B survey company.
About you
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](, 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
- $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.
Salary : $150,000 - $200,000