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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Senior/Staff Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner to our most strategic customers. You will own the end-to-end delivery of enterprise AI programs, leading a team of 2–4 engineers while staying deeply technical yourself . You will set the technical direction for your customer engagements, mentor your team, and serve as the senior technical voice at the intersection of product, engineering, and customer success. Note: This is a customer facing role & require frequent travelling within USA mostly IN THIS ROLE AT SNOWFLAKE, YOU WILL: Lead Customer Programs : Own the full lifecycle of complex, multi-engineer AI engagements – from scoping and architecture through deployment, monitoring, and handoff. Be accountable for delivery quality and customer outcomes for the projects you lead. Own AI Quality : Define what "good" means for each engagement. Translate ambiguous customer goals into measurable quality metrics, evaluation frameworks, and golden datasets – then run systematic eval loops to hill-climb on agent quality, catch regressions before customers do, and continuously raise the bar on accuracy, faithfulness, and safety. Set the standard for how the team measures and improves AI systems in production. Grow and Mentor Engineers : Provide day-to-day technical leadership and mentorship to a team of 2–6 Applied AI Engineers. Review designs and code, unblock teammates, and actively develop their skills and careers. Deliver with Velocity : Remain a hands-on contributor – designing, iterating, and shipping high-quality ML pipelines and agentic AI solutions alongside your team. Translate ambiguous business objectives into robust, scalable, and performant solutions. Productionize AI at Scale : Own the full implementation lifecycle for AI solutions, from prototype through deployment, monitoring, and optimization in secure, large-scale production environments. Build the safety guardrails, observability, and human-review workflows that keep AI applications reliable and trustworthy – and close the loop from production traces and user feedback back into your evals so quality compounds over time. Be a Strategic Technical Advisor : Serve as a senior technical advisor to customer data science and engineering leadership. Set the standard for how Snowflake AI is deployed and articulate complex technical concepts to both technical and executive stakeholders. Collaborate to Innovate : Work cross-functionally with Snowflake's Product and Engineering teams, bringing real-world patterns and feedback from the field to directly shape the future of Snowflake's AI platform. Drive Compounding Outcomes : Identify recurring deployment patterns and turn them into reusable assets – reference architectures, evaluation harnesses, and product feedback that scale Snowflake's impact across customers. Have the opportunity to travel : Spend at least 25% of your time onsite, working closely with Snowflake's most strategic customers. WE'RE LOOKING FOR CANDIDATES WHO HAVE: Demonstrated experience leading technical projects or teams, including setting technical direction, reviewing others' work, and driving delivery to completion. Proven experience building and productionizing applications using LLMs, especially with technologies like RAG and agentic workflows. Hands-on experience defining quality metrics and evaluation frameworks for LLM or agent systems, and using evals to systematically improve quality over time. Excellent problem-solving and communication skills, with an ability to articulate complex technical concepts to both technical and executive stakeholders. Comfort with ambiguity and the ability to independently structure and execute on complex, open-ended problems. 7+ years of professional software engineering experience. Experience in a customer-facing technical role. Willingness to travel. Preferred Qualifications Experience building eval sets from production traces and synthetic data, and running structured experimentation (A/B tests, ablations, offline evals) to compare prompts, models, or agent architectures. Familiarity with eval and observability tooling (e.g., Braintrust, LangSmith, Arize, Weave, Promptfoo) or experience building custom eval harnesses. Experience with failure-mode analysis on agent or RAG systems – categorizing errors (hallucination, retrieval miss, planning failure, tool misuse) and driving each down with targeted evals. Hands-on experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP). Familiarity with core data science libraries and tools (e.g., pandas, numpy, Snowpark). Startup experience or experience in a high-growth, fast-paced environment. 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Principal Software Engineer - Agentic Pipelines Building for AI-Enabled Data Engineers & Scientists Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation primitives, reasoning hard about consistency and fault tolerance, and owning the systems that run under millions of customer workloads — this role might be for you. You'll be working on the pipeline layer at Snowflake: the constructs that define how customers move, shape, and maintain data. AI has a real presence in this work — in how customers use these pipelines and in how we think about building them — but the core job is hard data/pipeline infrastructure engineering, and that's what we're hiring for. About the Team We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at cloud scale, our team owns the full stack of declarative data engineering. We're a small, high-ownership team operating close to the product — which means your decisions ship, your architecture matters, and your fingerprints are on some of the most heavily used features in Snowflake's data engineering portfolio. What You'll Do Define and drive the technical direction for Snowflake's core data engineering and streaming transformation primitives, spanning Streams, Tasks, Dynamic Tables, and adjacent pipeline constructs. Identify and lead multi-quarter technical investments — performance, scalability, correctness, and reliability — translating ambiguous problem spaces into concrete engineering plans with measurable outcomes. Partner with product, research, and peer engineering teams to co-design primitives that compose cleanly across the data engineering stack. Operate as a force multiplier: run architectural reviews, set the technical bar for design documents, and help engineers grow through high-quality feedback and sponsorship. Work directly with customers and field teams to understand real-world usage patterns; use that signal to prioritize what matters next. Contribute to Snowflake's technical reputation — through internal design influence, external talks, or research publications in the data engineering space. What We're Looking For 15+ years of experience designing, building, and operating large-scale distributed data systems. Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale. Strong computer science fundamentals — distributed systems, algorithms, fault tolerance, and consistency models. Proficiency in C++ or Java; comfort with systems-level reasoning (latency, throughput, resource efficiency at cloud scale). Demonstrated ability to lead cross-team technical initiatives from blank-page architecture through production at petabyte scale across thousands of concurrent workloads. Strong written and verbal communication skills; ability to represent complex technical trade-offs clearly to engineering, product, and leadership audiences. Nice to Have Experience with one or more major analytical databases (Snowflake, BigQuery, Redshift, Databricks, Teradata, etc). Hands-on background in streaming, transformation, or event-driven systems (Flink, Kafka, Spark Structured Streaming). Familiarity with the broader data engineering ecosystem: dbt, Airflow, Fivetran, Iceberg, Delta Lake. Experience with CDC, change propagation, or incremental computation patterns. Advanced degree (MS or PhD) in Computer Science, with emphasis on database or distributed systems. 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex Apps team is building the future of AI for enterprise data. This role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence , Cortex Agents and Search making agentic AI fast, reliable, scalable and secure at the enterprise level. You won’t just be using AI tools; you will be building the high-performance systems that orchestrate them. You’ll own and influence the architecture for agent execution environments, high-throughput context retrieval, or the ecosystem that allows our customers to iterate and launch agents in production. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability. Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry. Requirements: Education: Bachelor’s degree in Computer Science or a related technical field. Experience: 7+ years of experience building distributed systems , high-throughput APIs, or backend infrastructure for AI/ML products. Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration). Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.). Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines. Experience in a customer-facing technical role — you have explained a hard failure to a frustrated external audience and been believed, you can produce both the internal analysis and the customer-safe version. Product instinct — you can judge whether one customer's problem is bespoke or a platform gap worth fixing for everyone. This is the core judgment call. Cross-layer debugging — tracing a request across services and root-causing in unfamiliar code from logs and telemetry, not guesswork. Eval frameworks for LLM/agent systems — defining quality metrics and using evals to improve quality systematically over time. Comfort with ambiguity on open-ended, externally-driven problems. (Bonus) Experience with: Query optimization and SQL engine internals. Designing multi-tenant systems that handle sensitive enterprise data at scale. Developing search infrastructure for large-scale applications. Direct experience with any of the subsystems outlined above. 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. FoundationDB (FDB) is an open source, highly scalable database capable of ACID transactions at high frequencies and low latencies. FDB has been a core component in Snowflake's unique shared-metadata architecture since 2014, making possible Snowflake's vision to build the greatest data warehouse for the cloud. FDB performs millions of transactions per second across thousands of processes. The FDB team builds features on open-source FDB that improve the performance, scale, reliability and operability of the product. We are looking for an outstanding Senior Software Engineer with a passion for large scale databases and distributed systems to help us take FoundationDB to the next level. FoundationDB powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs. We are growing at a fast rate and we need to scale FoundationDB by at least one order of magnitude over the next few years. Additionally, new workloads are emerging that need FoundationDB’s reliability, high availability and strong consistency semantics. These workloads will require innovation to re-architect the core components of our system. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Identify strategically important problems, inefficiencies or opportunities for impactful improvements Own the end to end delivery of your projects, from identifying a solution, to design, implementation, test and safe production rollout Design and implement critical high performance systems to handle the ever growing request rate of our database Build the next generation transaction system, caching, storage engine and multi tenant capabilities Evangelize best practices in database usage and end-to-end architecture. Analyze and understand performance and scalability bottlenecks in the system and solve them. Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: 6+ years hands-on software engineering experience. Systems programming skills including multi-threading, concurrency, etc. Fluency in C++, C, or Java is preferred. Experience designing, building, and operating large-scale distributed systems or web services Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. a plus. Strong CS fundamentals including data structures, algorithms, and distributed systems. Track record of delivering highly complex projects in the distributed systems space Intense curiosity, willingness to question and passion for making systems better Strong technical problem solving, communication, and collaboration skills Excitement by the challenge of hard technical problems BS in Computer Science; Masters or PhD Preferred. About Snowflake: Snowflake SIGMOD 2016 paper About FoundationDB: FDB SIGMOD 21 Paper FoundationDB Summit 2018 and FoundationDB Summit 2019 How FDB powers Snowflake Metadata Forward! 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Trust Center team. This team is building the next generation of Data Exfiltration Protection (DXP) and unified Data Movement Policies (DMP) for Snowflake's cloud security infrastructure. You will work at the intersection of security policy and system enforcement, helping ensure that perimeter controls are robust, scalable, and deeply integrated with context-aware access frameworks. AS A SENIOR SOFTWARE ENGINEER, TRUST & PLATFORM SECURITY AT SNOWFLAKE, YOU WILL: Design and implement core components of the Data Movement Policy (DMP) framework, supporting complex multi-cloud and hybrid environments Build and enhance Data Exfiltration Protection capabilities, including ingress and egress controls and anomaly detection for data movement Contribute to the effort to unify Context-Aware Access policies with egress perimeter controls into a cohesive policy engine Author and review design documents for DMP and Perimeter Policy features, with a focus on reliability, low latency, and auditability Partner with Product Management and peer engineers to translate product requirements into well-scoped engineering deliverables Mentor junior engineers on the team and drive high standards for code quality, testing, and security-first development practices Own end-to-end delivery of features from design through production deployment OUR IDEAL SENIOR SOFTWARE ENGINEER, TRUST & PLATFORM SECURITY WILL HAVE: 5+ years of experience in software engineering, with meaningful exposure to infrastructure or security systems Strong understanding of network security fundamentals (TLS/SSL, HTTP/S, DNS), Zero Trust principles, or Data Loss Prevention (DLP) concepts Proven ability to design and build distributed systems in Java, Go, or C++ Experience working with cloud-native security controls in AWS, GCP, or Azure (e.g., VPC Service Controls, Private Link), or equivalent experience Comfort working independently on complex technical problems while collaborating closely with cross-functional partners BS/MS in Computer Science, Engineering, or equivalent experience BONUS POINTS FOR THE FOLLOWING: Experience with content-aware or identity-driven data governance systems Familiarity with AI-assisted development workflows and tooling Prior work on egress control, network perimeter enforcement, or policy engine design Contributions to open-source security projects or published security research 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is experiencing exponential growth and we’re looking for a seasoned Senior Social Media Manager to elevate its social media profile among the global developer community. This individual will be a steward of the Snowflake’s developer social presence, specifically responsible for engaging technical audiences. This role is critical to reinforce Snowflake’s AI Data Cloud vision and business momentum by showcasing technical innovation and value to developers. This role demands a dynamic social media expert with a background in running presences for established B2B brands who can develop, execute, and measure the impact of owned, paid and earned social media. The ideal candidate is comfortable operating in a high-growth environment, is AI-minded, and possesses a strong knack for innovative content creation. They are also a dedicated team-player, proactive, and highly organized, with a talent to build collaborative relationships with key stakeholders. This person will work closely with cross-functional teams including PR, Product Marketing, Developer Relations, Developer Advocacy, and the broader Marketing and Global Communications teams to create plans that drive awareness and engagement with our key audiences. They will be responsible for overall program management, inclusive of content creation, reporting, and creating operational efficiencies to ensure we’re structured to scale the practice to support Snowflake’s expansive business. THE OPPORTUNITY Guide & Execute Snowflake’s Developer Social Media Strategy Craft the strategy and lead the execution of our developer social media presence, inclusive of platform mix and editorial strategy Drive the development of integrated social plans for key Snowflake moments (i.e., new feature releases, open source contributions, technical events) with sustained storytelling in mind Serve as the social lead for select Snowflake solution areas (e.g., AI, Data Engineering), owning the social plan for recurring programs such as monthly working group announcements, category launches, and sustained campaigns – from briefing through execution Lead social planning and execution for Snowflake's flagship developer events, including pre-event promotion, day-of coverage, and post-event amplification across owned and paid channels – all in collaboration with event marketing, digital and creative teams Collaborate with the developer relations and developer advocate team to align on priorities and co-creation opportunities to bring the collective work together across social Own the outcome by delivering insightful social monthly, quarterly and campaign-based reports that demonstrate our impact on the community and business Concept, Manage & Execute Snowflake Developer Social Content Be a steward of the brand with the community experience in mind, inclusive of navigating and managing internal expectations around the social experience and best practices Bring new content ideas and franchises to the table to both drive awareness of and strong engagement with Snowflake’s key narratives and priorities Write, edit and publish everyday content across platforms in line with Snowflake’s narrative and developer voice Lead social creative direction, working collaboratively with our creative team and business partners to create socially-engaging assets Actively engage with the community to drive a true two-way exchange and nurture their connection to Snowflake Lead and Execute our Paid Social Initiatives Develop paid strategies with clear KPIs in support of our key narratives and initiatives Create and execute paid social campaigns across platforms, inclusive of ad campaign set up and targeting and content promotion Lead reporting on the impact of our campaigns with the ability to distill learnings and insights for our varied internal audiences WHAT WE’RE LOOKING FOR Our ideal social media lead will have: 8-10+ years of experience in B2B technology social media, either in-house or with an agency Well-rounded social media marketing and/or social media communications experience – including owned, paid and earned strategies A strong love for social and emerging technology, including hands-on use of AI tools to enhance day-to-day work across content creation, trend analysis, experimentation, reporting, and workflow efficiency An experimental, test-and-learn orientation to create social success stories that will help drive greater investment Excellent written and verbal communication skills, with the ability to create compelling content in line with our narratives for various audiences across paid, earned, and owned channels Demonstrated ability to independently manage complex, multi-stakeholder programs from strategy through execution – with strong deadline discipline and proactive communication when timelines are at risk Superb organizational skills and keen attention to detail, with the ability to operate autonomously and effectively in a rapidly growing, fast-paced environment Act as the social project manager for cross-functional working groups, proactively driving PMM reviews, content sourcing, and timeline adherence without requiring day-to-day direction A ‘Roll Up Your Sleeves and Get It Done’ attitude with a proven track record of managing multiple, high-priority projects from strategy to execution Strong strategic thinking, problem solving, technical, and analytical skills Demonstrated ability to work collaboratively with cross-functional teams and build strong relationships Strong judgment, a knack for diplomacy, and the confidence to engage and build consensus with stakeholders BA/BS degree or equivalent experience. 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Billing & Payments Platform team builds Snowflake's central data repository and infrastructure for customer resource consumption, revenue processing, invoicing, andreporting. Our systems power Snowflake's business and enable every other engineering team — and the architectures we ship double as reference patterns for our customers building on Snowflake. Computing Snowflake's bills, at its core, is a challenging distributed systems problem: real-time usage metering across every cloud and region, and supporting an ever-evolving catalog of pricing models — including the new commercial constructs we are inventing for Cortex AI, Snowflake Intelligence, and the broader agentic AI portfolio . Our applications must meet strict requirements for accuracy, auditability, and low-latency processing. This is a deeply cross-functional role. You will partner daily with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight UI, Cortex AI, and product engineering teams across Snowflake to deliver experiences that customers and internal stakeholders depend on every day. What You'll Do As a Senior Software Engineer on Billing Platform, you will: Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-team initiatives. Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service, all on Snowflake's own product. Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps — including token-based inference, agent workflows, and AI-native subscriptions. Use AI as a first-class collaborator in development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence. Own reliability and correctness — participate in on-call, debug across unfamiliar areas, and drive systemic fixes to monitoring, alerts, and quality. Be the go-to expert for one or more billing components (metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting) and mentor other engineers. Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems. What We Look For 7+ years of professional software engineering experience building and supporting large-scale, production distributed systems. 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/batch data 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 engineering practices that make systems easy to operate at scale (testing, observability, CI/CD, incremental rollout). Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, and to contribute as a strong individual contributor on larger, multi-team efforts. A track record of owning reliability for what you build — participating in on-call, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches. Excellent communication skills and a collaborative working style. You are comfortable operating across engineering disciplines and partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal. Curiosity about and hands-on experience with AI as a builder's tool , and interest in shaping the commercial models that bring AI products to market. 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/safety systems in a usage-based product. Experience designing or evolving pricing models for AI/ML products (inference, fine-tuning, agentic workloads). Experience building on Snowflake or comparable cloud data platforms (Snowpark, Streams/Tasks, Iceberg, Streamlit, Cortex). Contributions to internal AI developer-productivity tooling, agentic skills, or Cortex Code 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, low-latency rating across every cloud, region, and service — with strict correctness and auditability requirements — is genuinely hard, genuinely interesting work. 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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Billing & Payments Platform team builds Snowflake's central data repository and infrastructure for customer resource consumption, revenue processing, invoicing, andreporting. Our systems power Snowflake's business and enable every other engineering team — and the architectures we ship double as reference patterns for our customers building on Snowflake. Computing Snowflake's bills, at its core, is a challenging distributed systems problem: real-time usage metering across every cloud and region, and supporting an ever-evolving catalog of pricing models — including the new commercial constructs we are inventing for Cortex AI, Snowflake Intelligence, and the broader agentic AI portfolio . Our applications must meet strict requirements for accuracy, auditability, and low-latency processing. This is a deeply cross-functional role. You will partner daily with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight UI, Cortex AI, and product engineering teams across Snowflake to deliver experiences that customers and internal stakeholders depend on every day. What You'll Do As a Senior Software Engineer on Billing Platform, you will: Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-team initiatives. Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service, all on Snowflake's own product. Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps — including token-based inference, agent workflows, and AI-native subscriptions. Use AI as a first-class collaborator in development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence. Own reliability and correctness — participate in on-call, debug across unfamiliar areas, and drive systemic fixes to monitoring, alerts, and quality. Be the go-to expert for one or more billing components (metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting) and mentor other engineers. Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems. What We Look For 7+ years of professional software engineering experience building and supporting large-scale, production distributed systems. 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/batch data 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 engineering practices that make systems easy to operate at scale (testing, observability, CI/CD, incremental rollout). Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, and to contribute as a strong individual contributor on larger, multi-team efforts. A track record of owning reliability for what you build — participating in on-call, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches. Excellent communication skills and a collaborative working style. You are comfortable operating across engineering disciplines and partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal. Curiosity about and hands-on experience with AI as a builder's tool , and interest in shaping the commercial models that bring AI products to market. 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/safety systems in a usage-based product. Experience designing or evolving pricing models for AI/ML products (inference, fine-tuning, agentic workloads). Experience building on Snowflake or comparable cloud data platforms (Snowpark, Streams/Tasks, Iceberg, Streamlit, Cortex). Contributions to internal AI developer-productivity tooling, agentic skills, or Cortex Code 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, low-latency rating across every cloud, region, and service — with strict correctness and auditability requirements — is genuinely hard, genuinely interesting work. 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