---
title: 'Software Engineering Manager, AI Migrations at Snowflake'
canonical: 'https://feeny.ai/job/software-engineering-manager-ai-migrations-snowflake-pune-45j4p1cfhk9z'
type: 'job'
last_seen: '2026-11-06'
---

# Software Engineering Manager, AI Migrations at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Pune, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/ed2af114-3dd7-4f9d-8c26-24dd4b26a754

## Job description

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](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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