--- title: 'Sr. Manager, Technical Delivery at Snowflake' canonical: 'https://feeny.ai/job/sr-manager-technical-delivery-snowflake-chicago-ry7z0rwbqkva' type: 'job' last_seen: '2026-09-11' --- # Sr. Manager, Technical Delivery at Snowflake - **Company:** [Snowflake](https://feeny.ai/companies/snowflake) - **Location:** Chicago, IL - **Compensation:** $177k–$232k - **Employment:** full-time - **Posted:** 2026-08-28 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/snowflake/49fd7a30-f0e6-484e-bf44-3d4d2561c4f3 ## 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 transforming the future of data and we are looking for a dynamic Sr. Manager, Technical Delivery to lead our Snowflake Professional Services team. As strategic experts in implementing the Snowflake platform, we engage with customers to optimize, accelerate, and drive meaningful business outcomes through cutting-edge technology solutions including Artificial Intelligence (AI) and Generative AI (GenAI). As a Delivery Manager, you will lead teams executing complex migrations from legacy systems to the Snowflake platform. Your role will involve close collaboration with customers and system integrators to understand requirements, design robust migration strategies, oversee seamless transitions, and act as a strategic advisor to your customers. Your leadership will ensure that Snowflake is positioned as the premier solution in data warehousing and analytics, influencing both technical and executive stakeholders. AS A DELIVERY MANAGER AT SNOWFLAKE, YOU WILL: - Lead, develop, and mentor a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimization, development and delivery experts - Play an active role in sourcing and screening potential candidates and managing the interview process - Be a technical expert on all aspects of Snowflake - Provide delivery quality oversight and guidance for Snowflake engagements by ensuring adherence to technical and delivery best practices - Oversee the successful design, implementation, and deployment of complex AI and Generative AI (GenAI) solutions leveraging the Snowflake platform - Work with Professional Services Practice Directors and Sales Account Team on sales pursuits. Lead project scoping, performing code assessments, pricing services, creating statements of work, and providing strategic guidance on productionalizing AI and GenAI use cases - Develop methodologies to improve our services delivery - Provide guidance on how to resolve customer-specific technical challenges - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing - Present our methodologies, capabilities to both internal teams, external partners and customers OUR IDEAL DELIVERY MANAGER WILL HAVE: - Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role - Minimum 5 years of people management experience; experience mentoring, coaching and developing teams - Minimum 5 years of experience in selling professional services; scoping large projects, writing statements of work - Proven experience guiding enterprise customers on data strategies for building, deploying, and operationalizing GenAI engagements - Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.) - Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) - Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion) - Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) - University degree in computer science, engineering, mathematics or related fields, or equivalent experience - Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos - Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools - Ability to mentor and guide technical professionals deploying rapidly evolving features without full grasp of the technical details. - Strong skills in databases, data warehouses, and data processing - Extensive hands-on expertise with SQL and SQL analytics - Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events - Scripting experience with Python, Ruby, Perl, Bash - Ability and flexibility to travel to work with customers on-site up to 25% of the time Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. 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 - [Software Engineer](https://feeny.ai/job/software-engineer-snowflake-warsaw-rk93stde6gfz) — Warsaw, Poland - [Strategic Account Executive, Majors Acquisition](https://feeny.ai/job/strategic-account-executive-majors-acquisition-snowflake-texas-z28sj7wdvvq8) — Texas, United States - [Staff Technical Program Manager - Security](https://feeny.ai/job/staff-technical-program-manager-security-snowflake-menlo-park-wq8j55r9qq5p) — Menlo Park, CA - [Engineering Manager](https://feeny.ai/job/engineering-manager-snowflake-menlo-park-hcb2t29d5htr) — Menlo Park, CA - [Senior Manager, Technical Program Management - Security](https://feeny.ai/job/senior-manager-technical-program-management-security-snowflake-menlo-park-94cf3wxj9d56) — Menlo Park, CA - [Principal Software Engineer - Semantic Views](https://feeny.ai/job/principal-software-engineer-semantic-views-snowflake-menlo-park-rsztyc80kfn7) — Menlo Park, CA - [Solution Engineer](https://feeny.ai/job/solution-engineer-snowflake-colombia-3cf4hpmqq9ye) — Colombia - [Senior/Staff Software Engineer – LLM Inference & Reinforcement Learning Platform](https://feeny.ai/job/senior-staff-software-engineer-llm-inference-reinforcement-learning-platform-dwrjfex7daq2) — Bellevue, WA - [Services Solutions Manager](https://feeny.ai/job/services-solutions-manager-snowflake-united-kingdom-f5bh8de9z9m1) — United Kingdom - [Account Executive](https://feeny.ai/job/account-executive-snowflake-helsinki-wxb5sh46d89y) — Helsinki, Finland