AI-First Engineering Manager - Data Platform

Snowflake; Menlo Park (CA); Presencial; USD 264.000 - 380.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Equity plan

Descripción de la vacante

Snowflake seeks an AI-first leader as an Engineering Manager to shape development processes for AIM-V. You will guide a high-performance team across the runtime, tools, and deployment, driving AI-based software synthesis and efficient collaboration with product, solutions architects, and field engineers.

You will own the full lifecycle from ideation to release, leveraging SQL and database internals expertise.

Formación

• 10+ years of experience building and operating large-scale systems.
• 8+ years of experience managing expert engineering teams.
• Track record owning the full software development lifecycle from inception to release.
• Comprehensive background in SQL and/or other functional programming languages.
• Solid knowledge of database internals, with emphasis on query parsing, optimization, and execution.
• MS/PhD in Computer Science: databases, high-performance computing, or related fields.

Responsabilidades

• Provide strong technical leadership across the AIM-V product suite, including runtime, tools, and deployment.
• Drive an AI-based development process across the platform, from requirements analysis to design, from development to validation and release.
• Collaborate with product managers, solution architects, and field engineering to empower customers.
• Define and improve engineering processes around AI-based software synthesis workflows.
• Solve real business needs at large scale by applying software engineering and analytical problem solving skills.

Conocimientos

Large-scale systems

Team management

SQL

Database internals

SDLC ownership

Educación

MS/PhD CS (databases/high-performance)

Descripción del empleo

Snowflake seeks an AI-first leader as an Engineering Manager to shape development processes for AIM-V. You will guide a high-performance team across the runtime, tools, and deployment, driving AI-based software synthesis and efficient collaboration with product, solutions architects, and field engineers.

You will own the full lifecycle from ideation to release, leveraging SQL and database internals expertise.