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Software Engineering Manager, AI Migrations
AI in this role
Leads a team of forward-deployed engineers building generative AI products to automate and rewrite legacy data application migrations.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Software Engineering Manager, AI Migrations (Forward Deployed)
Location: Pune, India
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake redefined the data landscape over a decade ago, and our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the AI Data Cloud, there is a complex web of legacy systems that can take years and millions of dollars to untangle. We believe generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications.
We are hiring a Software Engineering Manager, AI Migrations (Forward Deployed) to work at the intersection of customer delivery and product engineering. In this hybrid role, you will lead a team of Forward Deployed Engineers who work directly with customers and partners on complex migrations, while also driving the development of AI-powered migration tools and products. Your team will be the bridge between field realities and product innovation, turning hard-won migration patterns into scalable, automated solutions.
AS A SOFTWARE ENGINEERING MANAGER, AI MIGRATIONS AT SNOWFLAKE, YOU WILL:
Lead and develop the team
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
Deliver customer migrations
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
Build AI-powered migration products
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
Drive cross-functional impact
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
OUR IDEAL SOFTWARE ENGINEERING MANAGER WILL HAVE:
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
BONUS POINTS FOR:
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
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
How we rate this
Software Engineering Manager, AI Migrations at Snowflake rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where migrations was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where forward deployed engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Team Management, Migrations, Generative AI, and Forward Deployed Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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