ytpartners · client case example

Full-stack founding and scaling of an AI-driven mobile job marketplace

Switch App applied the behavioral interaction models proven in consumer dating apps to employment. The AI matching engine used swipe patterns and engagement signals to continuously refine job-to-candidate relevance. The platform scaled to 2M+ downloads and was featured on Good Morning America.

← Back to Client Portfolio

Client Snapshot

Category

AI-driven mobile job marketplace

Buyer

Job seekers (consumer), employers (enterprise subscription)

Model

Two-sided marketplace; consumer free / employer subscription

Stage

Founded and scaled

Channel

iOS, Android; paid, organic, PR; enterprise direct sales

Primary constraint

Cold-start liquidity problem on both sides; building matching intelligence on a novel behavioral dataset

Sector and market landscape

Job discovery in the mobile era was still running on desktop-era infrastructure. The interaction model was search-and-apply: high friction, low signal, poor match quality. Consumer mobile apps had already solved this in other verticals.

Recruitment tech market

$30B+ globally

Dominated by legacy platforms optimized for employer workflow, not candidate experience. Mobile-first recruitment was a greenfield opportunity when Switch launched.

Matching quality gap

Sub-5% application-to-hire rate industry-wide

Traditional job boards generated volume but not quality. AI matching using behavioral signals (not just keyword matching) could dramatically improve relevance on both sides.

Mobile consumer behavior shift

70%+ of job seekers searching on mobile

Job seekers moved to mobile but the tools had not. The gap between how people consumed content on mobile and how they searched for jobs was a structural product opportunity.

Sector thesis: The interaction models consumer apps had proven in dating and commerce had not been meaningfully applied to employment. The gap represented a real opportunity to transform job discovery from a high-friction search-and-apply task into a continuous, low-friction signal collection process that improved with every interaction. The product got smarter the more people used it, creating a natural acquisition and retention dynamic.

What was built

End-to-end company build: product architecture, UX, engineering, go-to-market, and fundraising ($6M raised from tier-one VCs).

AI matching engine

Behavioral data-driven matching using swipe patterns, engagement signals, session depth, and dwell time to continuously refine job-to-candidate relevance scores. Match quality improved without requiring explicit input from either side.

Mobile-native product and UX

Category-defining mobile-first recruitment experience. Product architecture and UX designed from scratch for how people actually use phones, not adapted from desktop workflows. Consumer acquisition through paid, organic, and PR channels.

Dual-track GTM across consumer and enterprise

Consumer candidate acquisition and enterprise employer subscription sold simultaneously. Fundraising through multiple rounds totaling $6M from tier-one VC firms across New York, Los Angeles, Silicon Valley, and Israel.

Outcome

2M+ downloads

Platform scaled to over two million downloads through consumer acquisition and employer-driven distribution.

$6M raised from tier-one VCs

Multiple fundraising rounds from firms across New York, Los Angeles, Silicon Valley, and Israel.

National media coverage including Good Morning America

Category-defining mobile-first recruitment product recognized as establishing the mobile job marketplace category.