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.

About the Role

We’re hiring for a Product Operations role to help us turn customer insights into better products. You’ll work closely with Product, Engineering, Design, and our customer-facing teams to understand how customers use Juicebox, uncover opportunities for improvement, and help bring new features to life. You’ll get deep into the product, investigate problems, and take ownership of the details that make a great customer experience.

You Will

• Turn customer feedback into action. Join customer conversations and synthesize feedback from Sales, Customer Success, and Support to identify recurring pain points and unmet needs.
• Investigate and drive resolution of product issues. Reproduce bugs, clarify customer impact, and work with Engineering and Product to prioritize fixes and close the loop.
• Help us ship great products. Test new features and AI-powered workflows, identify confusing experiences and edge cases, and support beta testing and launches.
• Use data to understand what’s working. Analyze product usage, adoption, and customer feedback to surface opportunities and evaluate whether changes deliver value.
• Own product improvements. Partner with Product, Engineering, and Design to translate well-defined problems into clear requirements, support delivery, and assess results.
• Make the team faster. Improve how we capture feedback, track issues, and communicate product updates, using lightweight tools and automation to reduce manual work.