$180K – $225K/yr
Senior Director, Applications Engineering
Market pay estimate
$235,500–$295,476 / year for comparable Senior Director roles in United States. Not employer-provided.
Role overview
Job description
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 building the data and AI platform for the agentic enterprise. Enterprise Apps & Agentic Systems is applying that same standard internally by redesigning business domains from first
…About this listing
- Listed from a Ashby careers board
- Posted 4 Sept 2026
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Role market pulse
How Senior Director demand looks in United States
Live jobs
103
Posted 30d
45
30d movement
+4.7%
Remote share
23.3%
Salary listed
68.9%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
DIRECTOR, APPLICATIONS ENGINEERING WILL HAVE: 15+ years of experience in enterprise technology, product management, or software engineering, with 5+ years leading multi-disciplinary organizations at the Director level or above; Strong technical grounding in modern AI architectures (LLM/agent patterns, orchestration, tools, evaluation) and cloud data platforms like Snowflake; Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience
Department · Enterprise Technology
Hiring company
Snowflake
Snowflake enables organizations to collaborate, build AI-powered data apps, and unlock data insights—all within a secure and scalable AI Data Cloud.
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