Staff Software Development - Full Stack

The Enterprise Technology (ET) Applications team builds the applications and AI agents that power Snowflake's go-to-market (GTM) engine. Our products help account executives, solution engineers, sales leaders, partner teams, and revenue operations understand customers, prioritize work, and act quickly from one connected, Salesforce-integrated experience.

Responsibilities

Lead the design and delivery of full-stack applications and agentic systems across React/Next.js frontends, backend-for-frontend services, Snowflake data models, and Salesforce integrations; Build AI seller workspaces that unify account health, consumption trends, pipeline, use cases, and recommended next actions, powered by Snowflake Cortex AI; Architect and own conversational GTM agents and their harness, including the agent loop, tool and MCP server design, context and memory management, permissions, and sandboxed execution; Implement guardrails, human-in-the-loop approvals, evaluations, and observability so every agent recommendation shows its evidence, data freshness, and source; Design secure, production-grade Salesforce integrations and write-back using REST, Bulk, Composite, Streaming, and Platform Event APIs, while preserving record ownership, sharing rules, field-level security, and audit history, and lead security reviews covering identity, OAuth, and least-privilege access; Build reliable pipelines between Salesforce and Snowflake, including change capture, near-real-time sync, data-quality checks, and certified GTM data products; Set engineering standards for code quality, testing, CI/CD, release management, and AI-native development workflows, and mentor engineers through design and code reviews

Requirements

Bachelor's or Master's degree in any field, or equivalent practical experience; 8+ years of software development experience, including staff-level or equivalent technical leadership; Experience shipping agentic or LLM-powered applications to production, including retrieval, tool use, evaluation, guardrails, and human-in-the-loop controls; Strong TypeScript/JavaScript skills with React/Next.js, plus backend experience in Node.js, Python, or Java; Hands-on Salesforce Sales Cloud or Service Cloud integration experience, including APIs, OAuth, the object model, governor limits, and integration patterns; Strong SQL, data modeling, and database fundamentals across CRM, pipeline, bookings, and customer usage data; Experience with distributed systems, containers, cloud infrastructure, CI/CD, and observability; Clear communication and experience partnering directly with Sales and Revenue Operations

Nice to have

Experience with Snowflake, Snowpark Container Services, Snowflake Cortex AI, or Model Context Protocol (MCP) servers; Experience building agent evaluation harnesses such as golden datasets, LLM-as-judge, and trace replay, plus tracing, cost, and latency monitoring; Working knowledge of Salesforce Flows, Apex, permission sets, Platform Events, and Omni-Channel routing; Familiarity with GTM processes such as territory and account planning, forecasting, deal registration, and pipeline inspection, and tools such as Gong, Outreach, or Clari; Experience using AI coding assistants such as Claude Code to accelerate code generation, refactoring, and reusable development workflows