Head of Solutions Engineering at Stigg, leading implementation and optimization of monetization infrastructure for AI products. Based in Brooklyn, NY, with expertise in financial architecture, credit systems, and billing solutions for modern SaaS and AI-powered applications.
Champion of Flexible AI Monetization
Mike Lacsamana addresses a critical challenge often overlooked in AI engineering: how to sustainably monetize AI services while maintaining product flexibility and user satisfaction. His work focuses on building billing infrastructure that adapts to the unique economics of AI products.
Current Work
As Head of Solutions Engineering at Stigg, Mike leads the team helping customers implement flexible billing and credit management systems. His focus includes architecting pre-paid credit systems that align with variable AI consumption patterns, building real-time billing infrastructure for token-based pricing, and enabling companies to A/B test pricing models without engineering overhead.
Mike brings an engineering-first approach to monetization, recognizing that billing is a product decision, not just financial engineering. He has written extensively about AI credit systems and rapid monetization deployment:
- Launch Credits Fast, Keep Your Billing Stack - Enterprise-grade AI credit management
- We’ve Built AI Credits (Harder Than Expected) - Lessons from building credit systems
Philosophy on AI Billing
Mike’s approach emphasizes practical solutions to AI-specific challenges:
Transparency builds trust - Users demand visibility into token consumption and costs; opaque billing drives churn while clear cost breakdowns enable informed usage decisions.
Flexibility is essential - AI economics change rapidly, requiring billing systems that adapt quickly without engineering bottlenecks or costly migrations.
Credits enable growth - Beyond monetization, credit systems serve as powerful tools for user retention, feature experimentation, and churn reduction through unspent credit re-engagement.
Infrastructure first - The right billing foundation enables faster product iteration and sustainable unit economics as AI costs fluctuate.
Stigg
Stigg is a MonetizationOS providing flexible usage-based billing and entitlements infrastructure for modern SaaS and AI products. The platform serves Fortune 500 companies including Miro, Webflow, PagerDuty, and AI21Labs, having raised $17.5M in Series A funding to modernize software monetization as AI reshapes pricing models.
Conference Appearance
Event: AI Engineering Code Summit 2025 Date: November 20, 2025 Time: 10:40 AM Session: Building Credit Systems for AI Products
Mike presented practical approaches to designing financial architecture for AI products at scale, covering variable token consumption economics, credit system strategies, real-time billing requirements, and the business case for flexible monetization infrastructure that enables sustainable growth without sacrificing product experimentation.