Software Engineering Manager, AI Migrations (Forward Deployed)
Snowflake · Posted Nov 2
Cloud data warehousing, analytics, data sharing, and AI infrastructure services
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About the role
Snowflake is building products that use generative AI to understand and rewrite the logic of entire data applications, tackling enterprise migrations from legacy systems to the AI Data Cloud. The AI Migrations team works at the intersection of customer delivery and product engineering, leading complex migrations while developing AI-powered migration tools. This role manages a team of Forward Deployed Engineers who work directly with customers and partners, and also drives AI-first product development such as code translation, developer co-pilots and semantic validation.
What you will do
- Manage and mentor a team of Forward Deployed Engineers, giving clear feedback and building growth paths
- Recruit, hire and onboard engineers who can succeed in both customer delivery and engineering
- Grow technical delivery leads and engineering leaders, including staff-level engineers
- Foster a culture of creativity, innovation and practical decision-making
- Lead complex migrations from legacy platforms such as Oracle, Teradata, Netezza and SQL Server to Snowflake
- Provide strategic oversight so projects align with customer objectives and Snowflake's goals
- Act as the primary escalation point for delivery, working closely with customers and system integrators
- Stay hands-on in strategic projects to assess quality and unblock teams
- Partner with sales teams to scope opportunities, estimate effort, develop proposals and support account strategy
- Drive the design, development and iteration of AI-powered migration tools based on real customer needs
- Guide the team in building AI-first products, including code translation, developer co-pilots and semantic validation
- Turn field insights into engineering roadmap items and product improvements
- Partner with Engineering and Product Management to align priorities and deliver high-quality solutions
- Develop and share best practices, utilities and accelerators that speed up migrations and feed back into the product
- Influence go-to-market strategy and lead improvements across Sales and Engineering
- Encourage knowledge sharing between field engineers and product engineering teams
- Present migration strategy, product vision and business outcomes to technical and executive audiences
Skills used in this role
What the employer is looking for
- A university degree in computer science, engineering, mathematics or a related field, or equivalent experience
- 7+ years of experience in technical roles spanning customer-facing delivery and engineering
- 5+ years of people management experience, mentoring and developing technical teams
- 3+ years of experience building and delivering enterprise software products, ideally involving AI/ML or developer tools
- A proven track record of leading teams through complex data platform migrations and cloud transformations
- A strong foundation in databases, data warehousing and data processing, with hands-on experience on large-scale systems such as Oracle, Teradata, Netezza, SQL Server, Greenplum or Hadoop
- A deep understanding of cloud platforms (AWS, Azure or GCP) and the full data analytics stack, including ETL, data platform design and BI
- Extensive hands-on expertise in SQL and scripting (Python, Perl or Bash)
- Experience scoping engagements, including delivery estimates, proposals and project plans
- The flexibility to step into product manager, program manager or architect roles when needed
- Excellent presentation skills for technical and executive audiences
Preferred qualifications
- Experience with data integration and transformation tools such as Informatica, DataStage, Talend, Matillion or dbt
- Experience with BI tools such as Tableau, MicroStrategy or Business Objects
- Experience building GenAI-powered developer tools, such as code translation or co-pilots
Benefits and support
- Compensation and benefits are detailed in the job posting
About Snowflake
Snowflake delivers the AI Data Cloud, a cloud-based platform that unifies data warehousing, data lakes, data engineering, and data sharing. Its architecture separates compute from storage, enabling organizations to securely store, govern, and analyze data across multiple public clouds. The platform also integrates generative AI services and developer frameworks to help enterprises scale advanced workloads.
- Industry
- Cloud Computing
- Company size
- 10001+ employees
- Founded
- 2012-07-23
- Location
- Bozeman, Montana, USA
- Funding stage
- Public Company
Funding
Public Company · $1.56B raised
- 2012-02-01Seed$900K
- 2012-08-01Series A$5M
- 2014-10-01Series B$26M
- 2015-06-01Series C$79M
- 2017-09-01Series D$105M
- 2018-01-01Series E$263M
- 2018-10-01Series F$450M
- 2020-02-01Series G$479M
- 2020-09-16Post IPO$376M
Leadership
Chief Executive Officer
Chief Financial Officer
Executive Vice President, Product
Chief Technology Officer
Chief Security and Trust Officer
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