Senior Engineering Manager - Agentic Analytics

Posted 6 Days Ago
Be an Early Applicant
Menlo Park, CA, USA
In-Office
264K-380K 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 and grow a team building core database and SQL capabilities for agentic and analytical workloads. Set technical direction, translate product requirements, deliver complex distributed-system projects, mentor engineers, and collaborate across engineering and product organizations to evolve the query engine.
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.

At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience.
We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry.

AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO:

  • Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics

  • Lead and grow a team of talented engineers in the design, development, and support of a highly-parallel and fault-tolerant SQL database system

  • 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 and leaders across 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 CANDIDATE WILL HAVE:

  • 10+ years of experience building and operating large-scale systems (distributed systems, databases, or cloud services)

  • 5+ years of experience leading teams to build database system internals (experience leading managers is a strong plus)

  • Rock solid engineering fundamentals; query processing experience is highly preferred but not required

  • Exposure to AI, ML, or agent-driven workloads and how they consume data platforms

  • A track record of recruiting and leading technical teams in a demanding talent market

  • Proven experience authoring roadmap documents, project plans, and RCAs

  • Strong problem solving skills and excellent interpersonal communication skills

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

  • Background in database internals or large-scale data processing systems, e.g., Hadoop, Spark, etc.

  • Prior experience running SQL database engineering teams

  • Proven experience authoring product roadmaps, preparing and reviewing project design and test plan documents, and managing projects with JIRA

WHY BE A SENIOR ENGINEERING MANAGER FOR DATABASE ENGINEERING AT SNOWFLAKE?

This is an excellent opportunity to:

  • Lead and grow an exceptional team of industry veterans and rising stars building the industry-leading data management system that customers love

  • Shape how the core database serves the next generation of AI and agentic workloads, a problem the whole industry is racing to solve

  • Take charge of your own career. This role will push you to grow, both technically and as a team leader

  • Learn at scale as you and your team deliver essential components of a highly distributed, robust, and secure enterprise SaaS platform that services thousands of customers and more than a billion complex queries every day

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

  • 10+ years building and operating large-scale systems (distributed systems, databases, cloud services)
  • 5+ years leading teams to build database system internals
  • Rock solid engineering fundamentals
  • Exposure to AI, ML, or agent-driven workloads and how they consume data platforms
  • Proven experience recruiting and leading technical teams
  • Proven experience authoring roadmap documents, project plans, and RCAs
  • Strong problem solving skills and excellent interpersonal communication skills
  • Adherence to confidentiality and data security standards when handling sensitive customer data
  • Experience leading managers
  • Query processing or database internals experience
  • Background in large-scale data processing systems (e.g., Hadoop, Spark)
  • Prior experience running SQL database engineering teams
  • Experience preparing/reviewing project design and test plan documents and managing projects with JIRA

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.

Snowflake Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Gallery

Gallery

Similar Jobs

Wipfli Logo Wipfli

Sales Intelligence Analyst

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
73K-98K Annually

Square Logo Square

Solutions Engineer

eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Hybrid
Los Angeles, CA, USA
12000 Employees
143K-258K Annually

Snap Inc. Logo Snap Inc.

Security Engineer

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
San Diego, CA, USA
5000 Employees
133K-235K Annually

Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

Store Leader

eCommerce • Fashion • Retail • Sales • Wearables • Design
Hybrid
Torrance, CA, USA
16000 Employees
38K-52K Hourly

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account