Build the future of data.
Join the Snowflake team.
The Product Security team is responsible for securing the Snowflake product and platform, and ultimately protecting the company mission of mobilizing the world’s data.
Machine learning is a major driver of Snowflake’s growth as our customers want to build and deploy ML models to turn their Snowflake data into powerful insights.
Snowflake has made huge investments in ML and AI by building and acquiring new technology, and integrating first and third party ML models into the Snowflake ecosystem.
Security is a fundamental requirement in order to win and maintain customer trust in this rapidly evolving technology ecosystem.
As a member of the Security Assurance team, you’ll be responsible for maintaining (and raising) the security bar across our suite of ML products.
We are looking for a motivated, passionate expert in ML security who can help us build a world class security experience for our product development partners.
Our security program focuses on shifting left, delegating autonomy to developers and automating critical tasks, and we need you to apply those same principles in the domain of ML product development.
Our ideal candidate wakes up each morning thinking about ways to scale security.
Their goal is to lower risk while letting the business move quickly and safely.
They believe security should be an inherent property of the tools and processes engineers and data scientists use every day.
RESPONSIBILITIES
Take an active part and lead efforts in the team that designs, plans, and implements ML features and projects to integrate with and verify the security architecture of Snowflake
Lead with code, automation and data in everything you do: special focus is placed on frameworks, automation and tooling to increase ML engineer autonomy, detect security policy violations, and driving security outcomes through data consumption and enrichment
Work alongside ML engineering and security teams, providing expert leadership and advice on secure architecture, design, and implementation for machine learning solutions
Create and scale developer-friendly security products and tools
Create security impact across teams, with strong support from the business
Build a world class security experience for ML engineers, researchers and data scientists
MINIMUM QUALIFICATIONS
Strong interest in the synthesis of machine learning and security engineering: you should be comfortable discussing threats that apply to machine learning (e.
g.
training data leakage, prompt injection, multi-tenancy workloads, membership inference, etc.
)
Experience in reviewing design and implementation of multi-component software systems, especially those which are reliant on homegrown or third-party LLMs and APIs
Ability to automate tasks, collect, integrate and analyze data from multiple sources
Ability to design and write program/design specifications for self and others
Strong communicator who is comfortable working cross-functionally, with a track record of independence and delivering results
Able to work across team boundaries, reach consensus amongst disparate view points, and graciously receive feedback
Fluency in SQL
PREFERRED QUALIFICATIONS
Familiarity with low-level GPU architecture
Data Science/ML Engineering background
Expert understanding of software security architecture and design, threat modeling, code review, SDLC best practices, and mitigations for common application security issues
Contributions to the security community, such as open source tools, research papers, conference talks, etc.
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $188,000 - $287,500.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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?
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