Senior Engineering Manager - Cortex AI Functions

Snowflake

Warsaw, Poland

This role is ideal for someone who thrives in both worlds - someone who can guide foundational research, shape model architecture direction, and also lead engineering teams to deliver production-ready AI systems that impact thousands of customers. If you are energized by the opportunity to set scientific vision and to ship robust systems at scale, Cortex AI Functions offers a uniquely rare environment to do both.

AS ENGINEERING MANAGER - CORTEX AI FUNCTIONS YOU WILL:

Champion developer productivity and velocity, ensuring your teams have the tools, frameworks, and clarity required to deliver high-impact AI capabilities;
Directly manage a talented team of Engineers, Researchers and Managers and will provide:
- Support, guidance and feedback
- Career guidance
- Enable staff to do what they love
Recruit, interview, and hire exceptional talent to support the rapid expansion of the AI Functions;
Partner closely with Researchers, Engineers, and Product Managers to define execution plans, coordinate resources, and align on milestones that ensure timely delivery of AI features and platform capabilities;
Build and scale an engineering and research organization with a strong execution mindset, balancing deep research exploration with predictable delivery of production-ready systems;
Lead large, complicated projects alongside Individual Contributor and technology leads;
Participate in the design and implementation of new features and products;
Participate in cross-team discussions and initiatives with the goal of moving the larger group forward on our vision;
Utilize your experience and problem solving skills to help prevent and investigate production issues;
Have 5+ years of software engineering management experience with 2+ years in managing other engineering managers and leaders.

IDEAL ENGINEERING MANAGER AT SNOWFLAKE NEEDS TO DEMONSTRATE THE FOLLOWING:

A successful track record in managing talented engineers and managers;
Ability to align long-term business strategy with pragmatic technical and research investments, including making tradeoffs between foundational in-house research, extending existing models, or leveraging external AI systems;
Ability to build frameworks, processes, and decision criteria for evaluating AI research investments;
Understanding of Data Infrastructure systems and microservice architecture built on Public Cloud platforms;
Experience architecting, building and maintaining platforms built on microservice architecture for large scale SaaS platforms. Focus on memory, cpu and networking performance;
Strong knowledge of various package tools and methodologies for system components built with Python or Java;
Proven history of managing software development, automation and software engineering teams;
Formal software engineering background (aka CS degree);
Prior experience with distributed systems;
Ability to translate business strategy into action;
Ability to communicate well with leadership in articulating results and complex concepts.