AI Infrastructure Billing & Pricing Lead

Sail Research Inc.

San Francisco (CA)

On-site

USD 150,000 - 230,000

Full time

10 days ago
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Job summary

Sail Research Inc. is building the most efficient software for AI inference and agent hosting, and we are scaling our billing systems to support self-serve customers, large enterprise commitments, and routing partners.

You will own the end-to-end billing lifecycle, pricing strategy, and cost visibility for Sail's cloud infrastructure. We value strong product sense, robust, high-throughput production systems, and a collaborative approach to solve complex economic problems in compute and

Qualifications

  • Familiarity with usage-based billing and payments systems, or an interest in learning them.
  • Experience owning high-throughput, reliable production systems.
  • Solid distributed systems fundamentals.
  • Product sense: building delightful products and user experiences.
  • Interest in compute and inference economics.
  • Eagerness to work with agents and debate design decisions.
  • Strong interpersonal and technical communication.

Responsibilities

  • Design and operate billing for Sail's offerings across self-serve, enterprise, and partners.
  • Develop pricing models and billing features like Supercache.
  • Build observability for spend and revenue, linking cost to compute and enabling customer cost monitoring.
  • Build and maintain identity, permissioning, authentication, and abuse prevention.

Skills

Billing systems
High-throughput systems
Distributed systems
Product sense
Compute economics
Critical thinking
Clear communication

Job description

Sail Research Inc. is building the most efficient software for AI inference and agent hosting, and we are scaling our billing systems to support self-serve customers, large enterprise commitments, and routing partners.

You will own the end-to-end billing lifecycle, pricing strategy, and cost visibility for Sail's cloud infrastructure. We value strong product sense, robust, high-throughput production systems, and a collaborative approach to solve complex economic problems in compute and

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