Glints — Southeast Asia’s Leading Job Marketplace
Designing Glints’ first recruiter pricing system
Turning pricing confusion into 60%+ self-serve adoption
Overview
Glints' first monetization blocked job posting and threatened platform growth. As sole designer, I tested pricing approaches, designed a two-part pricing system: Subscription controlled capacity, self-serve boosts controlled performance. Together, they restored recruiter autonomy and enabled scalable growth.
Role
Sole Product Designer
Team
2 PM, 6 Engineers
Platform
Recruitment Tech
Timeline
7 months
Context
Southeast Asia's LinkedIn Needed Revenue Streatm
Glints is one of Southeast Asia’s leading job and talent marketplace. In late 2022, rising competition led the platform to launch its first revenue stream by charging recruiters for posting jobs.
Indonesia
Main Market
6M+
Job Seekers
60K+
Employers
Constraint
Charging Should not Stop Recruiter from Posting
Competitors grew faster while Glints targeted 5× more successful hires by end of 2023. But unclear pricing or unpredictable costs could stop recruiters from posting jobs, slowing the entire platform and harming network effects.
User Needs
Two Critical Moments: Planning and Result Review
From user interviews and sales field insights, I identified two critical needs: upfront pricing clarity when deciding to post and instant visibility recovery when jobs underperformed.
Plan Hiring
Recruiters Needed Clear Pricing and Predictable Capacity
After launching the first model, I led usability testing revealing 43% couldn't distinguish pricing rules. Combined with sales reports of post volume drop, I identified recruiters needed transparent costs to budget and post confidently.
Review Results
Recruiters Needed Instant Job Visibility Boost
I conducted competitor analysis, framed timing trade-offs, and validated with sales: boost after posting not only reduced posting friction but also enabled instant, on-demand performance control when jobs underperformed.
Framing the problem
How might we give recruiters
control over costs and performance
across the hiring journey?
Strategy
Subscription for Planning, Visibility Boost for Performance
I designed a recruiter pricing system with 2 parts: subscription for predictable job posting capacity with reusable slots, and self-serve boost for instant performance control. Together they balanced recruiter autonomy with revenue growth.
Solution
Pricing System Addressed Planning, Flexibility, and Urgency
I designed each solution to address specific hiring moments: viewing subscription plans and capacity, reusing slots when priorities shifted, and boosting visibility instantly when jobs underperformed.
Planning Hiring: Unified dashboard and pricing page showed total budget and options
Post Jobs: Reusable slots let recruiters reallocate without repurchase
Review outcome: Self-serve boost fixed underperforming jobs without delay
Outcome
From Pricing Chaos to a Scalable System
9 Months
From zero to complete system
60%+
Boosts orders via self-serve
Reflections
Designer as Frontline, Bringing Clarity
Leading with trade-offs, not guesses
When leadership couldn't define requirements, I presented trade-offs instead of guessing. Framing choices to revealed priorities and gave the team clear scope to move forward.
Learning from available resources
When there was no time for user research, I learned from sales conversations and competitor audits instead. Mapping sales needs to competitor patterns gave enough insight to guide design at the beginning.
Bringing clarity as design leads
Details piled up without answers. I initiated alignment sessions to surface blockers and make design the single source of truth. These became the team's platform for resolving ambiguity.
What’s Next
How Today’s AI Could Maximize Hiring ROI
Predict visibility boost timing
Predict optimal timing from market signals to maximize ROI and reduce waste.
Auto-suggest visibility boosts
Suggest boosts when jobs underperform to reduce guesswork and decision fatigue.
Clarify visibility boost and package value dynamically
Show predicted ROI dynamically, making value obvious and strengthening adoption.
Conclusion
A Foundation Built to Scale
I designed Glints' first pricing system for recruiters: capacity-based subscriptions and self-serve boosts.
The foundation proved durable. After my departure, the system scaled to 3,400+ subscription renewals, 50%+ visibility boost repurchase rates, and supported 1M+ hires in 6 months (2025). Clarity-first design built to last.
What the team says
“On multiple occasions, she distilled unclear scopes and conflicting priorities into clear, structured decision paths... enabling the team to move forward quickly.”
Wei-Hsuan Tang
Principal Product Manager
“Rebecca excelled as a designer at Glints, leading the complex Wallet feature from ambiguous scope to successful launch.”
Bernard Wong
Senior Product Designer