Not specified; pyy transpyrency provided upon appl...
On-site
Full p&l ownership experience
Scaling b2b saas or marketplace business
Building repeatable go-to-market engines
JustAnswer is seeking a General Manager for its B2B business, focusing on building a go-to-market strategy to scale from early revenue to over $100 million. The ideal candidate should possess extensive experience in managing P&L, scaling B2B or SaaS businesses, and leading teams through ambiguity
Job Summary
This role involves owning the end-to-end strategy, execution, and P&L for a new B2B business line aiming to reach $100M+ in revenue.
The successful candidate will design and scale an end-to-end go-to-market engine while partnering closely with product and engineering teams to launch AI-driven capabilities.
Pearl offers true ownership and the opportunity to shape a category-defining platform at the intersection of AI and independent professionals.
Matching Summary
Match Score: 85
JustAnswer is seeking a General Manager for its B2B business, focusing on building a go-to-market strategy to scale from early revenue to over $100 million. The ideal candidate should possess extensive experience in managing P&L, scaling B2B or SaaS businesses, and leading teams through ambiguity.
Salary
Not specified; Pay transparency provided upon application to qualifying jurisdictions
Skills & Requirements
Must-have
Full P&L ownership experience
Scaling B2B SaaS or marketplace business
Building repeatable go-to-market engines
Hands-on GTM execution in early revenue stages
Leading cross-functional product and sales teams
Nice-to-have
Experience with independent professional markets
Background launching new verticals from scratch
Commercializing AI-powered products
Founder experience with high learning velocity
Marketplace or freemium business model expertise
Key Requirements
GM or VP-level leader with full P&L ownership
Proven track record scaling B2B businesses to tens of millions
Deep understanding of SMB and solo professional markets
Comfort operating in zero-to-one environments with ambiguity