CA-Menlo Park•Posted: Feb 26•Deadline: Aug 17
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.
The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets
that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources.
Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility
into their account activities, usage, and resource consumption from all their global environments. The team is investing in
multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data
layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system
database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as
well as 1st party business logic such as ML powered functions and Budgeting applications.
AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL:
* Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data
infrastructure
* Lead and drive projects from idea formulation to design, implementation and successful productionization.
* Collaborate with product managers, architects, other engineering teams, data science organizations, business groups, on end to
end solutions.
* Provide strong technical leadership to the team and partner teams.
* Enable the data science organization, business groups, engineering teams to build comprehensive analytics quickly and
effectively.
OUR IDEAL CANDIDATE WILL HAVE:
* 15+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software
development.
* Strong track record of delivering large scale and resilient distributed systems and services.
* Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP.
* Strong collaboration and communication skills.
* Experience in distributed systems and databases.
* Experience in ML is a plus.
* Strong hands-on skills. Can dive deep into the complex system design and implementation when needed.
* BS/MS/PhD in Computer Science or related majors, or equivalent experience.
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
CA-Menlo Park•Posted: Mar 9•Deadline: Aug 17
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.
The Product Security team ensures that Snowflake products are built and shipped with the highest level of security. Our team
drives the security posture of Snowflake products and is responsible for embedding security into every stage of the product
lifecycle, from design through deployment and beyond. We design and build frameworks, systems and services that keep Snowflake
secure.
As a Principal Software Engineer II on the Product Security team, you will be the senior technical authority for Product Security
and play a critical leadership role in shaping and advancing Snowflake’s security. This is a unique opportunity to define and
influence our long-term security strategy and have a direct impact on the security of the Snowflake platform and the trust of our
customers. You will operate across organizational boundaries, guiding major security initiatives, influencing architectural
decisions at the highest levels, setting the technical direction for the organization, and ensuring consistent security excellence
across all product teams while working closely with business leaders to advance Snowflake’s business. The role requires deep
expertise in security, software engineering, distributed systems, software infrastructure, AI/ML, applied cryptography, threat
modeling and cloud security fundamentals.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
* Serve as the senior technical authority and architectural leader for Product Security, defining the long-term technical vision
and security architecture for Snowflake.
* Drive the security strategy across key domains, including AI security, authentication, authorization, data protection, and
software supply chain security.
* Design and develop scalable, secure-by-default frameworks, services, and tools to secure Snowflake's infrastructure and protect
customer data and accounts.
* Define and implement proactive strategies to mitigate emerging AI-related threats, both by securing Snowflake’s AI offerings
and leveraging AI to enhance the company's overall security posture.
* Anticipate emerging security risks and proactively define long-term mitigation strategies aligned with business and product
goals.
* Ensure cohesive execution by driving alignment across engineering, infrastructure, AI/ML, and security teams.
* Partner with product and engineering teams to implement security best practices.
* Mentor engineers, influence the engineering culture, and promote a strong security mindset company-wide.
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
* 15+ years of software engineering experience building and securing large-scale distributed systems and cloud-native platforms.
* Bachelor’s or Master’s degree in Computer Science or related field (or equivalent practical experience).
* Demonstrated company-level technical leadership with cross-organizational impact.
* Deep expertise in multiple security domains, including AI/ML system security, applied cryptography, identity and access
management, secure distributed system design, cloud and infrastructure security and/or software supply chain security
* Experience securing AI/ML systems or building security controls for AI-driven platforms.
* Strong systems thinking with experience identifying and mitigating systemic risks at scale.
* Track record of leading complex, multi-year technical initiatives with broad organizational impact.
* Experience in software development working with one or more of the following languages: Java, Go, Python, C, C++
* Exceptional communication skills and the ability to influence senior technical and executive audiences.
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
CA-Menlo Park•Posted: Feb 26•Deadline: Aug 17
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.
ABOUT THE ROLE
The Cortex Apps team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest
enterprises interact with their data through flagship products like Snowflake Intelligence.
As a Principal AI Engineer, you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you
will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale
RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500.
WHAT YOU WILL DO IN THIS ROLE:
* Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural
design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines.
* Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure.
You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas.
* Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You
will bridge the gap between Research (modeling) and Production (infra), ensuring the latest LLM breakthroughs are viable at
Snowflake scale.
* Ecosystem Thinking: Design extensible "context engineering" patterns—including advanced function calling and semantic layer
integration—that can be leveraged by other Snowflake teams and external developers.
* Technical Leadership & Mentorship: Act as a force multiplier. You will mentor Staff and Senior engineers, lead cross-functional
"strike teams" on high-stakes projects, and foster a culture of technical excellence and rapid experimentation.
REQUIREMENTS:
* Experience: 10+ years of software engineering experience, with 3+ years specifically leading the deployment of LLM-based
applications at massive scale.
* Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
* Expertise: Deep, "under-the-hood" understanding of LLM orchestration. You should be an expert in prompt optimization, semantic
modeling, and building robust guardrails for non-deterministic systems.
* Systems Thinking: Proven track record of designing complex systems that integrate AI with traditional data stacks (SQL,
Retrieval Systems, Semantic Layers).
* Communication: Exceptional ability to communicate complex technical trade-offs to both executive leadership and ICs. You are as
comfortable in a design doc as you are in a boardroom.
* Proven Impact: You have previously held a "Principal" or equivalent high-level IC role, or have led the technical launch of a
major AI product used by millions.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud. We aren't just shipping "wrappers"; we are building the foundational intelligence layer for the
world’s data. Join us as we scale Cortex, including Snowflake Intelligence, Cortex Agents, Analyst, and Search—to define the next
decade of enterprise computing.
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
