Desktop Engineering Intern assisting with daily tasks and endpoint monitoring in a fast - paced team environment. Gaining visibility into vulnerability scanning and supporting end users while learning technical skills.
About the role
- Lead Snowflake's AI Solutions engineering organization to design, deliver enterprise-grade generative AI using Cortex and Snowflake ML, partnering with Fortune 100 customers.
Responsibilities
- Recruit, mentor, and scale a high-performing, global engineering organization; foster a culture of innovation, ownership, and engineering excellence.
- Define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business goals.
- Lead the technical design and development of advanced AI and machine learning solutions using Snowflake Cortex and Snowflake ML; own end-to-end implementation from concept to enterprise-grade production deployments.
- Act as the senior engineering authority in customer engagements; partner closely with Fortune 100 customers and GTM teams to understand needs and ensure solutions drive tangible business impact.
- Serve as the engineering voice in strategic planning cycles, influencing headcount, budget, and product roadmaps; forge strong partnerships with Product, Research, and Sales teams.
- Drive continuous improvement in AI methodologies and best practices and represent Snowflake's AI capabilities within the broader technical community.
- Potential for up to 25% travel to engage with customers and global teams.
Requirements
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.
- 12+ years of experience in software engineering.
- At least 4 years in an Engineering Director role with experience managing managers.
- Deep technical expertise in the AI/ML domain.
- Proven, hands-on experience building and deploying solutions leveraging LLMs, natural language processing, and other generative AI technologies.
- Strong track record of delivering complex software solutions to enterprise customers.
- Proven experience scaling engineering organizations, including managing teams across multiple geographic locations.
- Exceptional ability to partner with Product, Sales, Delivery and Customer Success teams and directly with customers to achieve business outcomes.
- Excellent communication and stakeholder management skills.
- Strategic mindset combined with strong project management and execution capabilities.
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