В Snowflake можно возглавить и выстроить новое инженерное направление в быстроразвивающейся сфере AI и платформ данных, но роль сочетает масштабное управление, найм и работу с заказчиками.
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Hirify AI/Оригинал
TL;DR
Director of Engineering (AI): Building and scaling a multi-country organization of Forward Deployed Engineers delivering production outcomes on Snowflake’s AI Data Cloud with an accent on customer-embedded engineering, technical leadership, and organizational design. Focus on shaping engineering engagements with customer executives, developing managers and senior engineers, and delivering cloud data, AI/ML, and agentic application solutions.
Location: Sydney, Australia; hybrid
Company
Snowflake provides the AI Data Cloud and develops capabilities including Snowpark, Cortex AI, and Snowflake Horizon.
What you will do
Lead a sizeable, multi-country organization of Forward Deployed Engineers.
Set the technical and operating vision for how FDE teams scope, build, and ship on Snowflake capabilities.
Partner directly with customer executives as a senior customer-facing technical leader.
Attract exceptional engineering talent and coach managers and senior engineers across countries and time zones.
Partner with Sales, Product, and the global Frontier Engineering organization to connect customer needs with product direction and engineering outcomes.
Requirements
12+ years of software engineering experience, including significant experience leading engineering teams and managing managers.
Experience building and shipping production software, setting a high technical bar, and overseeing delivery.
Experience building or scaling Forward Deployed Engineer teams or embedded engineering teams that build directly with and for customers.
Strong customer-facing executive presence and experience working directly with customer executives.
Experience leading engineering organizations across multiple countries and time zones, ideally across APJ.
Demonstrated ability to attract senior engineering talent through an established network.
Experience reshaping, consolidating, or transforming teams and defining organizational structure in ambiguous environments.
Experience with cloud data platforms, AI/ML, or modern data and application development.
Nice to have
Hands-on familiarity with Snowflake or comparable cloud data and AI platforms, including AWS, Azure, GCP, or Databricks.
Experience building with GenAI and agentic application patterns in production.
Culture & Benefits
Work in a hybrid setup in Sydney, Australia.
Join Frontier Engineering, a global organization focused on customer adoption of the AI Data Cloud.
Help shape a new engineering-first practice with ownership of its organization, team, and technical standards.
Work in a fast-growing environment that values challenging ordinary thinking, experimentation, and innovation.
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