This is a deeply cross-functional role. You will partner with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight, Cortex AI, and product engineering teams to deliver experiences that customers and internal stakeholders depend on every day.
AS A STAFF SOFTWARE ENGINEER ON BILLING PLATFORM YOU WILL
Drive multi-team initiatives from an ambiguous business problem through design, launch, and operation, and set the technical approach other engineers execute. Own a bounded project end-to-end when that is the right scope.
Build the billing systems that meter, rate, and invoice usage across Snowflake services, on Snowflake's own product. Usage is collected across clouds and regions, then reconciled into an auditable bill.
Shape how Snowflake meters, prices, and bills AI products with Cortex AI, Intelligence, and Apps, including token-based inference, agent workflows, and AI-native subscriptions.
Be the go-to expert for a primary billing domain — metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting — and influence the systems next to it.
Own reliability and correctness for what you build. Participate in on-call, debug across unfamiliar areas, and drive systemic fixes to monitoring, alerts, and quality rather than one-off patches.
Mentor senior engineers. Review designs, raise the bar on testing and rollout, and help others operate these systems.
Partner with Product, Finance, GTM Systems, Growth, Trust, and Legal. Write designs that both engineering and Finance can execute.
OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE
Significant experience building and operating large-scale production distributed systems, typically 10+ years or equivalent impact.
A bachelor's or master's degree in computer science, a related technical field, or equivalent practical experience.
Strong fundamentals in distributed systems: consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream and batch pipelines.
Strong fundamentals in databases and data modeling. SQL fluency, schema design, performance tuning, and an appreciation for the operational realities of large-scale data systems.
Proficiency in one or more of Java, Scala, Python, or Go, and the practices that make systems operable at scale: testing, observability, CI/CD, and incremental rollout.
A track record of driving outcomes that span teams. Framing the problem when Product, Finance, and engineering disagree. Writing the design. Making the tradeoffs. Landing the system in production.
Depth in at least one domain adjacent to billing — metering, rating, invoicing, contracts, payments, revenue, or financial reporting — with enough range to debug and influence the systems next to it.
Hands-on use of AI as a builder's tool in design, coding, debugging, and incident response. On this team that includes Cortex Code and Snowflake Intelligence, but prior use of those specific tools is not required.
Clear writing and communication with non-engineering partners. You can explain a pricing or contract change so Finance can audit it and engineering can build it.
Bonus points for
Prior experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.
Experience with fraud detection, abuse mitigation, or trust and safety systems in a usage-based product.
Experience designing or evolving pricing models for AI/ML products, including inference, fine-tuning, and agentic workloads.
Experience building on Snowflake or comparable cloud data platforms, including Snowpark, Streams and Tasks, Iceberg, Streamlit, or Cortex.
Contributions to internal AI developer-productivity tooling, agentic skills, or similar coding-agent workflows.
Why this role?
Build on Snowflake, with Snowflake. You will use Snowflake's own product, including Cortex AI, as the substrate for one of the most business-critical systems in the company.
Front-row seat to AI commercialization. Billing is where AI strategy becomes real for customers. You will help define how Snowflake meters, prices, and bills for the AI products shaping the next decade.
Real cross-functional scope. Few engineering roles touch as many parts of the company. Your work will be visible to Finance, GTM, Product, and the engineering teams shipping every Snowflake service.
Distributed systems at meaningful scale. Accurate metering and rating across every cloud, region, and service, with strict correctness and auditability, is genuinely hard and genuinely interesting work.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $236,000 - $339,200.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
