Director of Engineering, AI Functions

Leads engineering efforts in applied AI, focusing on integrating AI solutions into A+E Global Media's platforms to enhance content creation and personalization.

Leads a team of 20+ Analytics Engineers building data pipelines for revenue, bookings, and GTM reporting. Drives the creation of an AI-ready data foundation, owns internal analytics agents, and champions AI-assisted engineering workflows using Cortex Code.

This quota-carrying Partner Sales Manager role drives and nurtures an ecosystem of System Integrators, Cloud Service Providers, and technology partners in the Financial Services sector. The manager will build joint business plans, develop partner practices, and orchestrate multi-partner GTM motions to drive customer growth.

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. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value.   AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: - Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. - Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. - Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. - Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. - Analyze production agent trajectories to identify failures in reasoning, retrieval, tool use, context, orchestration, and application code. - Close the loop between production incidents, root-cause analysis, evaluation coverage, and regression prevention. - Develop offline and online measurements for task completion, correctness, groundedness, safety, latency, reliability, and cost. - Build simulation and replay infrastructure for golden-set tests, adversarial scenarios, model comparisons, and large-scale experiments. - Improve agent efficiency through model routing, prompt and semantic caching, context compaction, tool-result management, and token optimization. - Productionize new model capabilities as secure, observable, multi-tenant services with clear operational controls. - Establish standards for evaluation design, including sampling, ground-truth quality, grader calibration, leakage prevention, and statistical significance. - Define technical direction across multiple teams and lead pro