As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models.
You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. This includes designing, building, and owning the billing platform and monetization systems that power Computer and every paid experience across Perplexity.
Key responsibilities include:
- Leading features end-to-end, from problem definition through technical design, implementation, and launch
- Building and operating the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans
- Hill-climbing on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do
- Partnering closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally
- Building internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly
Requirements include:
- 4+ years of professional software engineering experience
- Direct experience building or scaling billing, payments, subscription, or monetization systems
- Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks
- Strong backend engineering skills in Python with the ability to reason about complex distributed systems
- Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work
- Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions
- Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission
- Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders
- Genuine interest and adoption of AI products and willingness to learn quickly
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