Engineering Manager - Snowpark

Posted Yesterday
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Bellevue, WA, USA
Hybrid
236K-339K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead the Snowpark software engineering team in building a scalable, cloud-native compute platform for AI, machine learning, data science, and data engineering workloads. Provide technical strategy, manage complex projects, improve product reliability and service health, address team skill gaps, and mentor engineers. The role requires experience with large-scale distributed systems, software engineering management, cloud-native architectures, and serverless compute platforms.
Summary Generated by Built In

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

Skills Required

  • 8+ years of industry experience designing and building large-scale distributed systems platforms
  • 2+ years of full-time software engineering management experience
  • Experience with cloud-native architectures
  • Experience with serverless compute platforms, such as AWS Lambda, Azure Functions, or Cloud Run functions

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
  • Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
  • Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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