About Juicebox
Juicebox is on a mission to help teams win the talent war.
In the age of AI, human ingenuity is the ultimate scarce resource. Recruiting is a zero-sum game where you either compete or lose.
Teams at Ramp, Notion, and leading AI labs use Juicebox to power their hiring, alongside 5,000+ customers from early-stage startups to Fortune 500 companies.
We are on the path to $100M in ARR with 20%+ monthly growth, powering thousands of searches every day and making Juicebox one of the fastest-growing AI SaaS companies in the world.
Juicebox has raised over $116M in funding from lead investors including Sequoia Capital, DST Global, and NFDG. Read more about our $80M Series B here. Additional investors in Juicebox include Y Combinator, Coatue, Bond, Lux, Verified Capital, and Committed Capital.
The Role: Software Engineer
As a software engineer you’ll play a key role in engineering decisions, working closely with the founders and focus on questions like:
How can we optimize the ranking of our profile results?
What new filters or data sources can we add to our search engine?
How can we delight our users in the first 5 minutes of signing up to Juicebox?
You will design, build, and ship product features from end to end — many of which will be built on LLMs.
Recent projects have included fine-tuning a model to extract relevant insights from profiles and building feedback loops for improving search queries.
We work with Next.js + React, Node.js, OpenSearch (Elasticsearch), AWS SQS, Spark, and a number of inference providers + LLMs, etc.
About You
You've built something from scratch — a startup, project, or feature.
You enjoy working hard and owning projects.
You are hands-on, move fast, and learn best by building.
You've shown excellence: be it in your education, work experiences, projects, or anything else you can share.
You take asymmetric bets.
You have some experience with the core of our stack: Next.js, AWS, etc.
Skills Required
- Built a project, feature, or startup from scratch
- Ownership of projects and ability to move fast
- Hands-on software engineering experience
- Experience with Next.js and React
- Experience with AWS (including SQS)
- Experience with search technologies (OpenSearch/Elasticsearch)
- Experience with Spark or large-scale data processing
- Experience working with LLMs or model fine-tuning
- Demonstrated excellence in education, work, or projects
- Willingness to take asymmetric bets and iterate rapidly
