23 days ago
Base Salary
$208k - $299k/yr
Responsibilities
- 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 execute multi-step finance workflows.
- Own agent harnesses covering control loops, tool definitions, context and memory management, permissions, sandboxed execution, retries, timeouts, and error recovery.
- Implement guardrails, human-in-the-loop approvals, evaluations, regression suites, tracing, logging, cost monitoring, latency monitoring, and observability.
- Partner with Revenue Accounting to automate ASC 606 revenue recognition, contract processing, revenue schedules, reconciliation, exception resolution, and month-end close.
- Build and maintain integrations with SAP and Oracle ERP and revenue systems.
- Develop reconciliation, controls, and exception-handling tools across billing, CRM, and ERP data.
- Drive architecture decisions, engineering standards, code quality, testing, reliability, delivery speed, and AI-native development workflows.
- Mentor engineers through design and code reviews and promote technical excellence.
Requirements
- 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, preferably in revenue accounting or order-to-cash.
- Working knowledge of ASC 606, IFRS 15, contract modifications, and month-end close.
- Strong SQL and database fundamentals.
- Experience designing AI agents with tool or function calling, multi-step planning, orchestration, retrieval-augmented generation, semantic search, and enterprise-data grounding.
- Experience building agent harnesses, MCP servers, evaluation sets, regression suites, permission models, sandboxed execution, and agent observability.
- Understanding of agent safety and governance, including role-based access, auditability, approval gates, and failure handling.
- Experience with AI models for code generation, structured prompts, reusable workflows, prompt engineering, reasoning workflows, and human-in-the-loop systems.
- Strong problem-solving, analytical, communication, and cross-functional collaboration skills.
Benefits
- Hybrid work arrangement with 3 days in the Dublin office.
- Professional growth and continuous learning opportunities.
- Opportunity to work at the intersection of engineering, finance, revenue accounting, and agentic AI.
Tech Stack
SnowflakeSQL
Categories
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.