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.
techroles summary, based on the employer's posting.
What you'll do
- Build product experiences end to end, owning the user experience from implementation through delivery
- Turn open-ended conversations into structured data using embeddings and fine-tuned language models
- Improve how the interviewer asks follow-up questions through prompting and model fine-tuning
- Develop the audio-to-language-model pipeline for speech input and output
- Build systems collaboratively with other engineers and handle unglamorous engineering work
What you bring
- You want to build with Next.js, TypeScript and large language models
- You’re technically strong and have built products end to end, including their user experience
- You communicate well in writing and conversation, and can discuss engineering tradeoffs when seeking help
Who this fits
This suits a collaborative, hands-on builder who can take product work forward without detailed direction. 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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Software EngineeringRemote$150k+
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