В Snowflake чётко описана руководящая роль на стыке миграции корпоративных данных и разработки AI-продуктов, однако зарплата заметно ниже ориентира для сопоставимых позиций.
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Ниже рынкаШирокая зона ответственностиСовременный стекСфера AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Manager, Frontier Engineering (Migrations) (AI-powered migration products): Leading forward-deployed engineering teams through complex legacy data platform migrations while building AI-powered tools for code translation, developer copilots, and semantic validation with an accent on customer delivery, product engineering, and team development. Focus on translating field insights into scalable migration products, guiding enterprise cloud transformations, and solving complex data platform challenges across Oracle, Teradata, Netezza, SQL Server, and Snowflake.
Location: US-CA-Menlo Park, United States
Salary: $176K–$231K per year
Company
Snowflake builds the AI Data Cloud and products that help enterprises migrate legacy data applications and modernize their data platforms.
What you will do
Lead, mentor, recruit, and develop a team of Forward Deployed Engineers.
Oversee complex migrations from legacy platforms such as Oracle, Teradata, Netezza, and SQL Server to Snowflake.
Act as the escalation point for customer delivery issues and collaborate with customers, system integrators, and sales teams.
Drive the design and development of AI-powered migration tools, including code translation, developer copilots, and semantic validation.
Translate customer and field insights into engineering roadmaps, product improvements, and reusable migration accelerators.
Present migration strategies, product vision, and business outcomes to technical and executive audiences.
Requirements
Degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
7+ years of experience in customer-facing technical delivery or engineering roles.
5+ years of experience managing, mentoring, and developing technical teams.
3+ years of experience building and delivering enterprise software products involving AI/ML or developer tools.
Experience with databases, data warehouses, large-scale data systems, cloud platforms, ETL, data platform design, and analytics tools.
Hands-on expertise with SQL, Python, Perl, Bash, data integration tools, and BI platforms, plus strong engagement scoping and presentation skills.
Culture & Benefits
Impact-focused environment centered on innovation, collaboration, and practical decision-making.
Opportunity to work at the intersection of customer delivery and product engineering.
Exposure to evolving AI technologies and enterprise-scale migration challenges.
Cross-functional collaboration across Professional Services, Sales, Engineering, Product Management, and customers.
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