Staff Software Development - Full Stack

Lead the design and delivery of full-stack applications and agentic systems for Snowflake's finance organization

Architect, build, and deploy AI agents that plan, call tools, and act across finance workflows such as contract review, reconciliation triage, exception resolution, and close-task automation

Own the agent harness (agent loop, tool definitions, context and memory management, permissions, and sandboxed execution) so agents behave predictably on real financial data

Implement guardrails, human-in-the-loop approvals, evaluations, and observability for agents operating on financial data

Partner with Revenue Accounting to automate ASC 606 revenue recognition, including contract processing, revenue schedules, and month-end close

Build and maintain integrations between Snowflake and ERP/revenue systems such as SAP (S/4HANA, RAR) or Oracle (Fusion, Revenue Management Cloud, EBS)

Develop reconciliation, controls, and exception-handling tooling across billing, CRM, and ERP data to keep financial reporting accurate and audit-ready

Drive architecture decisions and set engineering standards for code quality, testing, and AI-native development workflows

Mentor engineers through design and code reviews, and raise the bar on technical excellence

Continuously improve development processes, reliability, and delivery speed

Bachelor's or Master's degree in any field

8+ years of software development experience

Proven experience shipping agentic or LLM-powered applications to production

Hands-on experience with SAP or Oracle financial modules, ideally in revenue accounting or order-to-cash

Working knowledge of revenue recognition (ASC 606 / IFRS 15), contract modifications, and month-end close

Strong SQL and database fundamentals

Experience with modern software development practices

Strong problem-solving and analytical skills

Excellent communication skills and comfort partnering directly with Accounting and Finance.

AI-NATIVE ENGINEERING EXPERTISE:

Experience designing AI agents with tool/function calling, multi-step planning, and orchestration across multiple agents

Familiarity with agent frameworks and platforms (e.g., Snowflake Cortex Agents, Model Context Protocol (MCP), LangGraph, or similar)

Experience with retrieval-augmented generation (RAG), semantic search, and grounding agents on structured and unstructured enterprise data

Ability to build evaluation sets, measure agent accuracy, and iterate on prompts, tools, and workflows

Understanding of agent safety and governance: role-based access, auditability, approval gates, and failure handling for actions affecting financial records

HARNESS ENGINEERING EXPERTISE:

Experience building or extending agent harnesses: the control loop, tool registry and schemas, retries, timeouts, and error recovery

Context engineering: managing context windows, summarization and compaction, memory, and selecting the right data, instructions, and skills for each step

Designing tools and MCP servers that are safe, well-scoped, and easy for models to use correctly

Building permission models, sandboxed execution, and approval checkpoints for agents that read or write sensitive systems

Building evaluation harnesses and regression suites (golden datasets, LLM-as-judge, trace replay) to measure agent quality before and after changes

Instrumenting agents with tracing, logging, cost, and latency monitoring to debug behavior in production

REVENUE ACCOUNTING AND ERP DOMAIN EXPERTISE (PREFERRED):

Strong hands-on experience with AI models for code generation (e.g., Anthropic's Claude, OpenAI's GPT-Codex) or similar, for:

Code generation, refactoring, and debugging

Designing structured prompts and reusable workflows

Ability to create and manage skills and profiles in AI models to streamline development tasks

Experience with AI-assisted development (Claude co-work model) to improve productivity and code quality

Familiarity with prompt engineering, reasoning workflows, and human-in-the-loop systems

Join a dynamic team at the forefront of AI/ML innovation, where you'll have the opportunity to work with cutting-edge technologies and solve complex challenges. You'll work at the intersection of engineering, finance, and agentic AI, building the agents and the harnesses behind them that directly support how Snowflake recognizes and reports revenue. You'll be part of a collaborative environment that values creativity and technical excellence, while contributing to projects that have a direct impact on our business success. Our team is committed to continuous learning and professional growth, ensuring you'll always be expanding your skills and expertise.

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