Engineering Manager - SnowConvert AI

Reposted 8 Days Ago
Be an Early Applicant
Menlo Park, CA, 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 a team of engineers to design and develop AI-powered migration products, ensuring quality delivery while fostering innovation and supporting team growth.
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 redefined the data landscape over a decade ago by building a Data Cloud with industry-leading performance and price for data at any scale and for multiple workloads: data engineering, data analytics, and AI/ML.

At Snowflake, our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications.

We're seeking a visionary Engineering Manager to own this charter, and build the AI-powered engine that will onboard the next wave of Snowflake customers. Your work will directly impact Snowflake's growth and change the way an entire industry approaches digital transformation.

AS A MANAGER AT SNOWFLAKE YOU WILL LEAD A TEAM OF TALENTED ENGINEERS IN:
  • Lead a growing team of talented engineers in the design, development and support of our AI-powered migrations product

  • Deliver products in a fast-paced ecosystem of professional services, partners, and customers that rely heavily on the technology.

  • Guide the team through an evolving AI ecosystem to build AI-first products.

  • Support engineers in their career development by providing clear feedback and developing engineering leaders

  • Translate product requirements into engineering work for your team

  • Collaborate with other local and global teams/leaders in the Engineering and Product Management organizations

  • Use your strong foundation as a technical leader to reliably deliver on complex projects while keeping the quality bar high

  • Foster a culture of creativity and innovation while also promoting practical decision-making

OUR IDEAL ENGINEERING MANAGER WILL HAVE:
  • Extensive experience (7+ years) building and delivering enterprise products

  • 3+ years of experience leading and scaling a team of engineers, driving the design, development, and support of an AI-powered migrations product.

  • Strong familiarity with data ecosystems (databases, analytics, data engineering, ETL)

  • Experience building and delivering tools or platforms for data engineers or developers

  • Proven experience delivering products, particularly those involving AI-powered code translation, developer co-pilots, or complex semantic validation

WHY JOIN OUR MIGRATIONS TEAM AT SNOWFLAKE?

Joining the Migrations product team at Snowflake offers an exceptional opportunity to be at the forefront of data and application modernization, directly impacting customer success by enabling the strategic leveraging of the Snowflake AI Data Cloud. You'll tackle complex, high-value challenges, building essential products and APIs that simplify intricate data ecosystem migrations—from ETL pipelines to applications—for our customers and partners. Your contributions will directly accelerate the adoption of Snowflake, driving significant value and cementing our customers' investment in a modern, AI-ready future.

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

  • Extensive experience (10+ years) building and delivering enterprise products
  • Strong familiarity with data ecosystems (databases, analytics, data engineering, ETL)
  • Experience building and delivering tools or platforms for data engineers or developers
  • Proven experience delivering AI-powered products

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.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

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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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