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TLM, Apps and Experiences Storage Team

Snowflake · CA-Ontario-Toronto

Location
CA-Ontario-Toronto
Workplace
Remote
Employment
Full time
Posted
13 July

About this role

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, Snowflake Intelligence, and new mobile apps. 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

As published by Snowflake. Applications are handled on their site.

One click, then it is written

Apply to Snowflake with a resume written for this role.

Queue TLM, Apps and Experiences Storage Team and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Snowflake’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Snowflake publishes. Refolk is not the employer and does not handle their hiring. Applications go to Snowflake directly.