Growth Product Lead
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
We’re hiring a Growth Product Lead to own and scale Juicebox’s organic and product-led growth engine.
A significant portion of Juicebox revenue already comes from our self-serve product motion. This role will focus on growing that channel through product experiments, lifecycle marketing, and user-driven growth loops.
You’ll work closely with the founders and marketing team to design experiments, launch initiatives, and drive measurable growth.
Your ultimate goal will be to increase revenue from self-serve customers, and you will own that metric.
You Will
Own Juicebox’s self-serve revenue growth
Drive organic and product-led growth initiatives
Increase user invitations and product-driven adoption
Improve onboarding, activation, and referral flows
Run experiments to improve self-serve acquisition, retention, and reactivation
Launch lifecycle campaigns across email, product messaging, and promotions
Analyze product usage and growth metrics to identify opportunities
Work cross-functionally with marketing, product, and engineering to ship growth experiments
You Have
2+ years working on growth at a B2B or B2C SaaS company (4+ preferred)
Experience with product-led growth or growth experimentation
Comfort working with product and user data
Ability to read or write SQL queries (or interpret them)
Strong ownership mentality and ability to run experiments end-to-end
High EQ and ability to collaborate across teams to ship initiatives
