Founding Product Engineer - Listen Labs
At a glance
Mid-level Software Engineering role at Pear VC. Remote, United States · full-time · $150,000–$200,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build product features from start to finish, shaping the user experience as well as the underlying systems
- Turn open-ended interview responses into structured data using embeddings and fine-tuned language models
- Improve how the AI interviewer asks follow-up questions through prompting and model tuning
- Work on the audio-to-model pipeline, including speech input and output
- Build systems with other engineers and handle practical engineering work alongside product development
What you bring
- You want to build with Next.js, TypeScript and large language models
- You can take a product from idea through delivery without needing detailed instructions
- You communicate clearly in writing and conversation, and bring tradeoffs to teammates when seeking help
Who this fits
This role suits a highly technical, collaborative builder who wants end-to-end product ownership and is excited to work with large language models. The role is based in person at the San Francisco office.
From the employer
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.
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