1 day ago
Base Salary
$236k - $339k/yr
Responsibilities
- Drive multi-team billing initiatives from ambiguous business problems through design, launch, and operation.
- Set technical approaches and own appropriately scoped projects end to end.
- Build systems for usage metering, rating, invoicing, reconciliation, payments, fraud detection, and reporting across clouds and regions.
- Shape pricing and billing systems for Cortex AI, Snowflake Intelligence, Apps, token-based inference, agent workflows, and AI-native subscriptions.
- Own reliability and correctness, participate in on-call, debug across unfamiliar areas, and improve monitoring, alerting, testing, and systemic fixes.
- Serve as a domain expert in an area such as metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting.
- Mentor senior engineers, review designs, and improve engineering and rollout standards.
- Partner with Product, Finance, Legal, Growth, Go-to-Market Systems, Trust, and engineering teams.
Requirements
- Significant experience building and operating large-scale production distributed systems, typically 10+ years or equivalent impact.
- Bachelor’s or master’s degree in computer science or a related technical field, or equivalent practical experience.
- Strong knowledge of distributed-systems concepts including consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream and batch pipelines.
- Strong database and data-modeling fundamentals, including SQL, schema design, and performance tuning.
- Proficiency in one or more of Java, Scala, Python, or Go.
- Experience driving outcomes across teams, writing designs, making tradeoffs, and delivering systems to production.
- Depth in a billing-adjacent domain such as metering, rating, invoicing, contracts, payments, revenue, or financial reporting.
- Hands-on use of AI as a builder’s tool for design, coding, debugging, or incident response.
- Clear writing and communication with non-engineering partners.
- Preferred experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.
- Preferred experience with fraud detection, abuse mitigation, trust and safety systems, or pricing models for AI/ML products.
- Preferred experience building on Snowflake or comparable cloud data platforms, including Snowpark, Streams and Tasks, Iceberg, Streamlit, or Cortex.
- Preferred contributions to internal AI developer-productivity tooling, agentic skills, or coding-agent workflows.
Benefits
- The role uses Snowflake’s own product, including Cortex AI, as the substrate for a business-critical billing system.
- The position offers exposure to AI commercialization and broad cross-functional work with Finance, Go-to-Market, Product, and engineering teams.
- For U.S.-located jobs, salary and benefits information is provided through the Snowflake Careers Site.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.