Engineering Manager - Snowpark
Snowflake is hiring an Engineering Manager - Snowpark for a remote role open to applicants in United States. It pays $236k-$339k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Snowpark, software engineering and distributed systems among its tools and skills.
- Snowflake has 351 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Engineering manager leading the Snowpark compute platform team to build infrastructure supporting AI, ML, and data workloads.
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 on a mission to mobilize the world's data by changing the old-world paradigm of “bring data to compute” to “bring compute to the data”. Our innovative built-for-the-cloud architecture revolutionized the data warehousing industry with the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions. Our products enable thousands of enterprises to unlock the value of their data with near-unlimited scale, concurrency, and performance.
We are looking for a talented, passionate Software Engineering Manager for our Snowpark product to build our elastic, high-scale, high-performance, cloud-native compute platform that makes bringing compute to data effortless and simple. Our mission is to make Snowflake the preferred platform to run all AI, ML, Data Science, and Data Engineering workloads. We are building the next generation of compute platforms to open up Snowflake’s doors to limitless opportunities of discovering structure and unstructured data at scale. You will be part of a highly productive, fast-moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. This team innovates on behalf of our customers to build a fully managed compute platform that enables our customers to leverage their data to solve business problems without needing to manage required compute infrastructure.
AS A SOFTWARE ENGINEERING MANAGER FOR SNOWPARK, YOU WILL:
Provide technical and strategic direction leadership to define and build a full ecosystem of technologies, technical roadmap, and vision.
Plan, lead, and execute complex technical projects through your team that interact with a wide variety of teams within the company.
Anticipate future trends and evolving customer needs accurately and drive strategies appropriately.
Influence leadership on technical direction and product/team investment/pivot needs.
Create tools/processes/solutions that improve team productivity and efficiency.
Identify and lead improvements to product stability and reliability, on-call and service health, customer support, diagnosability, and manageability of the product.
Identify and fill skill and expertise gaps in the team.
Mentor and guide engineers, growing strong technical expertise within the team.
OUR IDEAL SOFTWARE ENGINEERING MANAGER WILL HAVE:
8+ years of industry experience designing and building large-scale distributed systems platforms that accelerate product innovation.
2+ years of full-time Software Engineering Management experience.
Strong passion for making developers highly productive and enabling them to be successful and grow in their career.
Experience with cloud-native architectures and serverless compute platforms (e.g., AWS Lambda, Azure Functions, Cloud Run functions, etc).
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
How we rate this
Engineering Manager - Snowpark at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- What's a project where you used Snowpark hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Distributed Systems, Cloud Computing, and Snowpark. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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