Senior Director, Applications Engineering
Snowflake · US-WA-Bellevue
About this role
**About the Role** Snowflake is building the data and AI platform for the *agentic enterprise*. The Enterprise Apps & Agentic Systems team is redesigning business domains from first principles and turning high-value workflows into software-defined, AI-native products. We’re hiring a **Senior Director, Applications Engineering** to make **Finance, OTC, Revenue, People, and Legal** domains more agentic. This leader will own the **product and engineering strategy** across the portfolio—moving beyond application management to deliver intelligent products that understand context, act across systems, operate within guardrails, and involve people when judgment is required. **Core Mission** - Transform enterprise operations across **Finance, People, and Legal** by redesigning end-to-end workflows into **AI-native products** (not incremental features on legacy apps). - Combine domain expertise, enterprise data, workflow automation, autonomous agents, and controls into a coherent operating experience. - Establish a **product-led model** where cross-functional teams co-own strategy, adoption, reliability, and business impact. - Build a scalable AI product lifecycle to rapidly prototype, evaluate, deploy, and scale intelligent agents. **What You’ll Do** - Define and execute a **multi-year product and engineering roadmap** across Finance, HR, and Legal, aligning investments to high-value outcomes. - Partner with C-level/executive leaders (CFO, HR, Legal) to challenge current processes and redesign future-state operating models. - Deliver **production-grade agents and AI-native workflows** using trusted context and enterprise tools to complete multi-step work, manage exceptions, and escalate with clear explanations and auditability. - Establish a product-led operating model where business and technology co-own problem definition, strategy, adoption, reliability, controls, and value realized. - Set software architecture and engineering standards for AI products, including orchestration, context retrieval, tool integration, safety, compliance, latency, and cost. - Build reusable AI patterns and modular platforms to enable fast deployment of agentic capabilities. - Lead cross-functional product pods accountable for adoption, workflow completion, and measurable value realization. - Ensure implementations maintain rigorous **governance, auditability, SOX controls, data privacy, and security**. - Define operational metrics (automation rates, cycle-time reductions, exception management, ROI). - Hire, mentor, and scale a world-class product and engineering team with strong AI fluency and operational excellence. - Manage portfolio budgets, vendor strategies, and technology partnerships. **What You Bring (Ideal Qualifications)** - **15+ years** of experience in enterprise technology, product management, or software engineering; **5+ years** leading multi-disciplinary organizations at the Director level or above. - Proven record building and scaling software-defined products and AI-native/intelligent workflows in production with measurable business impact. - Strong technical grounding in modern AI architectures (LLM/agent patterns, orchestration, tools, evaluation) and cloud data platforms (including Snowflake). - First-principles product mindset focused on simplifying workflows, rapid prototyping, outcome ownership, and user-centric design. - Experience building product-led organizations, managing managers, and setting a high talent bar across product, pro
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