---
title: 'TLM, Apps and Experiences Storage Team at Snowflake'
canonical: 'https://feeny.ai/job/tlm-apps-and-experiences-storage-team-snowflake-toronto-k9tze3krwr8z'
type: 'job'
last_seen: '2026-09-11'
---

# TLM, Apps and Experiences Storage Team at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Toronto, Canada
- **Compensation:** $291k–$341k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/snowflake/1b7c31c2-d3d7-4fd9-86ef-1f8a4b167335

## 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.

## About the team

The Apps & Experiences Platform team is powering systems and services for all our user facing apps including [Snowsight](http://app.snowflake.com), [Snowflake Intelligence](http://ai.snowflake.com), and [new mobile apps](https://apps.apple.com/us/app/snowflake-intelligence/id6755540372). Our mission is to craft innovative backend services, features, tools, infrastructure, and AI tooling that bring such products to life with delightful user experiences. As part of our team, you'll dive into a mix of building & managing platform infrastructure, and building AI self-serve tools to support the platform and its developer’s needs. We're passionate about building a platform that is highly reliable, available, maintainable, and scalable. We are a high growth AI data cloud company and we are looking for exceptional talent like you to help build and grow our infrastructure to scale us to the next level.

AS TECHNICAL LEAD & MANAGER FOR APPS & EXPERIENCES STORAGE TEAM, YOU WILL:

- Own the storage team’s technical strategy and execution, driving projects from initial idea formulation and detailed system design to high-quality implementation and successful deployment.
- Provide deep technical oversight by actively participating in design reviews, architecture discussions, and drilling into complex system implementations to ensure reliability and scalability.
- Serve as a key technical contributor and subject matter expert, setting the bar for engineering excellence and coding best practices within the team.
- Mentor and coach engineers on complex technical challenges and career development, and grow a strong, diverse team through proactive hiring.
- Define team plans and deliverables while remaining accountable for the platform's availability, maintainability, and performance.
- Collaborate closely with the Product Management team to translate user needs and product requirements into clear technical roadmaps.
- Lead the improvement of our engineering processes, tooling, and standards, focusing on efficiency and velocity.
- Partner effectively with other engineering and cross-functional teams to ensure smooth integration and influence the direction of the broader platform.

WE ARE LOOKING FOR CANDIDATES WITH:

- 9+ years of experience in designing and building large-scale systems in production.
- 2+ years of experience in managing and leading teams building lean mission-critical, highly concurrent, high-throughput, low-latency systems.
- Experience building and managing high throughput systems with Redis, Postgres, and blob stores (e.g. S3, Azure blob, and/or Google cloud storage).
- Strong collaboration and communication skills.
- Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP, is a plus.
- Strong hands-on skills. Can drill deep into the complex system design and implementation on a routine basis.
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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

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- [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
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