1 day ago
Base Salary
$200k - $288k/yr
Responsibilities
- Own medium-sized billing platform projects from design through launch and operation.
- Build federated distributed systems for usage metering, rating, invoicing, payments, and reporting across Snowflake services.
- Help shape pricing and billing strategy for AI products, including token-based inference, agent workflows, and AI-native subscriptions.
- Use Cortex Code CLI and Snowflake Intelligence for development, code review, debugging, and on-call triage.
- Own reliability and correctness through on-call participation, production debugging, monitoring improvements, alerting, and systemic fixes.
- Become a subject-matter expert in billing components such as metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting.
- Partner with Product, Finance, GTM Systems, Growth, Trust, Legal, and engineering teams to translate business requirements into reliable and auditable systems.
- Mentor other engineers and contribute to large, multi-team engineering initiatives.
Requirements
- 7+ years of professional software engineering experience building and supporting large-scale production distributed systems.
- 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/batch data 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 with engineering practices for operating systems at scale, including testing, observability, CI/CD, and incremental rollout.
- Ability to independently design, specify, schedule, and deliver medium-sized projects and contribute to larger multi-team efforts.
- Track record of owning reliability, participating in on-call, debugging production issues, and driving systemic fixes.
- Excellent communication and collaboration skills across engineering and non-engineering stakeholders.
- Hands-on experience using AI as a builder’s tool and interest in commercial models for AI products.
- Preferred experience with billing, payments, metering, revenue, financial systems, fraud detection, abuse mitigation, trust and safety, AI/ML pricing models, Snowflake or comparable cloud data platforms, or internal AI developer-productivity tooling.
Benefits
- The role provides an opportunity to build Snowflake’s billing platform on Snowflake’s own product, including Cortex AI.
- The position offers exposure to AI commercialization and the design of metering, pricing, and billing for AI products.
- The work has broad cross-functional visibility across Finance, GTM, Product, Legal, and engineering teams.
- Salary and benefits information for United States roles 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.