--- title: 'Software Engineering Manager, AI Migrations (Forward Deployed) at Snowflake' canonical: 'https://feeny.ai/job/software-engineering-manager-ai-migrations-forward-deployed-snowflake-menlo-park-qvf7sy0f2cwe' type: 'job' last_seen: '2026-11-06' --- # Software Engineering Manager, AI Migrations (Forward Deployed) at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Menlo Park, CA - **Compensation:** $236k–$339k - **Employment:** full-time - **Posted:** 2026-10-16 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/snowflake/acbe3667-1be2-4880-9d5b-969eb6127b7c ## 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. 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 power of the AI Data Cloud, there lies 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 seeking a Software Engineering Manager, AI Migrations (Forward Deployed) to sit at the intersection of customer delivery and product engineering. This is a unique hybrid role: you will lead a team of forward-deployed engineers who work directly with customers and partners on complex migration projects while simultaneously 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 MANAGER, MIGRATIONS YOU WILL: ## Team Leadership & People Management - Manage and mentor a team of Forward Deployed Engineers, providing clear feedback, identifying strengths, and developing growth paths - Recruit, hire, and onboard future team members, setting them up for success in both customer-facing delivery and engineering contributions - Foster a culture of creativity, innovation, and practical decision-making across delivery and engineering work streams - Support engineers in their career development, growing both technical delivery leads and engineering leaders Customer Delivery & Project Execution - Provide strategic oversight for migration projects, ensuring alignment with customer objectives and company goals - Lead teams executing complex migrations from legacy systems (Oracle, Teradata, Netezza, SQL Server, etc.) to the Snowflake platform - Act as the primary escalation point for delivery concerns, working closely with customers and system integrators - Maintain a hands-on presence on strategic projects, leveraging your technical expertise to assess quality and unblock teams - Collaborate with sales teams to scope opportunities, develop proposals, and ensure effective account strategy execution Engineering & Product Build - Drive the design, development, and iteration of AI-powered migration tools and products based on real-world customer needs - Guide the team through an evolving AI ecosystem to build AI-first products — including code translation, developer co-pilots, and semantic validation - Translate field insights and customer requirements into engineering roadmap items and product improvements - Collaborate with Engineering and Product Management organizations to align on priorities and deliver high-quality solutions - Encourage the development and sharing of best practices, utilities, and accelerators that streamline migrations and feed back into product Cross-Functional Impact - Work with organizational leaders to influence GTM strategies, leading initiatives and improvements across Sales and Engineering - Facilitate knowledge sharing and cross-team learning between field engineers and product engineering teams - Present to both technical and executive audiences, articulating migration strategies, product vision, and business outcomes ## OUR IDEAL CANDIDATE WILL HAVE: - University degree in computer science, engineering, mathematics, or related fields (or equivalent experience) - 7+ years of experience in technical roles involving customer-facing delivery, engineering - 5+ years of people management experience — mentoring, coaching, and developing technical teams - 3+ years of experience building and delivering enterprise software products, particularly involving AI/ML or developer tools - Demonstrated success leading teams through complex data platform migrations and cloud transformation projects - Strong foundation in databases, data warehouses, and data processing — hands-on experience with large-scale systems (Oracle, Teradata, Netezza, SQL Server, Greenplum, Hadoop) - Deep understanding of cloud platforms (AWS, Azure, GCP) and the complete data analytics stack (ETL, data platform design, BI/analytics tools) - Familiarity with data integration/transformation tools (Informatica, DataStage, Talend, Matillion, dbt) and BI tools (Tableau, MicroStrategy, Business Objects) - Extensive hands-on expertise with SQL, SQL analytics, and scripting (Python, Perl, Bash) - Resourceful, data-driven, strong partners, and able to step in as PM, program manager, or architect when needed - Hiring and growing the team, technical leadership (including for staff+ engineers), driving projects from idea to production, and partnering across teams and with customers - Strong experience scoping engagements — developing delivery estimates, proposals, and project plans - Outstanding presentation skills for both technical and executive audiences 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 ## Other roles at Snowflake - [Senior FP&A Manager - Partnerships & Investments](https://feeny.ai/job/senior-fp-a-manager-partnerships-investments-snowflake-bellevue-6wthq3165gms) — Bellevue, WA - [Principal Software Engineer - Observability](https://feeny.ai/job/principal-software-engineer-observability-snowflake-menlo-park-1haf6vtfhmm3) — Menlo Park, CA - [Senior Solution Engineer, Enterprise Acquisition](https://feeny.ai/job/senior-solution-engineer-enterprise-acquisition-snowflake-sydney-h27kt3kt1v2b) — Sydney, Australia - [Senior Solution Engineer, Enterprise Acquisition](https://feeny.ai/job/senior-solution-engineer-enterprise-acquisition-snowflake-melbourne-h51g62p35jry) — Melbourne, Australia - [Account Executive](https://feeny.ai/job/account-executive-snowflake-new-york-h7ttj6zgj7rt) — New York, NY - [Account Executive, Commercial](https://feeny.ai/job/account-executive-commercial-snowflake-bellevue-r0k07edx7vv5) — Bellevue, WA - [Account Executive, Commercial](https://feeny.ai/job/account-executive-commercial-snowflake-denver-sd92fn8xayve) — Denver, CO - [Account Executive - Acquisition](https://feeny.ai/job/account-executive-acquisition-snowflake-germany-m83hj8tqxymr) — Germany - [Partner Sales Director - VAR](https://feeny.ai/job/partner-sales-director-var-snowflake-paris-j06pp22yk3y1) — Paris, France - [Senior Solutions Engineer, Observe](https://feeny.ai/job/senior-solutions-engineer-observe-snowflake-new-york-7rgzk1tnmgsv) — New York, NY