Senior Manager - AI for Engineering Systems
Snowflake is hiring a Senior Manager - AI for Engineering Systems for a remote role open to applicants in United States. It pays $264k-$380k a year and Level rates it ; you can apply on Level.
AI in this role
Lead an engineering team building AI-powered developer tools and agentic software development lifecycle ecosystems.
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.
We are hiring a rock star leader for our ES AI team. This team plays a crucial part in transforming how the Snowflake product is developed, evaluated and supported. The job is no less than building the ecosystem that powers our AI-pilled engineers and our agentic organizations and reinvents the SDLC for Snowflake.
As the manager for this growing team, you will lead the group of engineers working to reinvent how code is written, reviewed and runs in production to usher scale and velocity for the AI era. With context as the new source code, you will make it possible for every engineer at Snowflake to deliver through intent and direction.
In this role, you will:
Lead, coach, and grow the while creating a high-energy, cohesive environment with strong planning, ownership, and career development.
Deliver the vision and roadmap for transforming the SDLC for all Snowflake engineers.
Drive measurable improvements in code review latency, ensure Snowflake developers can use the latest harnesses and models, and create the golden paths that agentic codebases are built upon.
Act as an agent of clarity in a space that is moving fast, making high quality decisions quickly by keeping up with the latest developments in the industry.
Own operational excellence for the area, including on-call health, incident response, postmortems, and balancing project delivery with ongoing maintenance and support work.
Our ideal candidate will have:
15+ years of software engineering experience
5+ years of experience leading a technical engineering team with a strong mix of people leadership, roadmap ownership, and hands-on technical judgment.
Demonstrated hands-on experience working with the latest AI tools, particularly in the productivity space.
Excellent written and verbal communication skills, with the ability to align stakeholders, secure buy-in, and bring clarity to ambiguous, cross-functional work.
A pragmatic, customer-obsessed mindset and a bias for measurable impact through reliability, performance, and ease of use.
Bonus points for experience with developer productivity tooling, AI-assisted engineering workflows, and modern CI/test platform modernization efforts.
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
Senior Manager - AI for Engineering Systems at Snowflake rates 75 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where sdlc was part of your work. What did you do?
- Tell me about a project where ai productivity was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
- Tell me about a project where agentic workflows was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Engineering Management, Sdlc, AI Productivity, Developer Tools, and Agentic Workflows. 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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