Senior Manager - AI for Engineering Systems
Primary stack
Nice to have's
Job description
About the Position
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. 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.
Responsibilities
- Lead, coach, and grow the team 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.
Requirements
- 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.
Nice to Have
- Experience with developer productivity tooling
- Experience with AI-assisted engineering workflows
- Experience with modern CI/test platform modernization efforts
We Offer
- Competitive salary range: $264K – $379.5K
- Opportunity to work in a fast-growing, innovative company
- Hybrid work location in Bellevue, Washington or Menlo Park, California
About the Company
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
© Snowflake. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cloud Computing,Data Management,Artificial Intelligence
About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
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