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
CA-Menlo Park•Posted: May 22•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 Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex
Code in Action: Live Demos + AMA.
As a Staff/Principal AI Engineer on Cortex Code , you will help define architect agent behavior at enterprise scale by building
the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient, repeatable,
auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden
scenarios, metrics, and experiment loops that the whole team can trust.
Responsibilities:
* Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic
coding tasks.
* Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and
iteration on prompts/tools/workflows with clear before/after signals.
* Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a
prioritized roadmap for engineering and modeling partners.
* Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor
engineers and uplevel eval craft across the team.
* Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and
operational clarity when things drift.
Requirements:
* Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a
requirement.
* 10+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction,
cross-team delivery, and mentoring.
* Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not
only one-off benchmarks.
* Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
* Exceptional communication skills: crisp write-ups, constructive debate, and ability to influence without authority across
engineering and product.
* (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and
semantic layers is a plus.
Nice to have
* Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and
prompting limits.
* Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric
coding agents.
* Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you
* Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
* Thrive in high-intensity environments with short feedback loops and high standards for rigor.
* Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained
improvement—not one-off score bumps.
* Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
About Snowflake
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications
at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex
agents, Cortex analyst, Cortex search.
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: Oct 31•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 Applied Performance Group (APG) Engineering team provides a highly strategic function at Snowflake, with direct impact to our
product direction, as well as to our bottom line. APG engineers are a key bridge between Engineering and our Sales organization,
support organization, and other engineering organizations at Snowflake. They are called on to help with our most challenging
customer performance issues, and help deliver some of our biggest deals. In addition, APG plays a strategic role in competitive
benchmarking, defining and/or utilizing industry benchmarks to compare Snowflake performance against our competitors.
APG Engineers are at the cutting edge of innovation at Snowflake, pioneering Snowflake deployments with the newest technology and
working with Engineering and Product Management to continuously improve the product and ensure we continue building the best Cloud
Data Platform in the industry.
A successful Applied Performance Engineer will have a broad range of skills and experience ranging from strong SQL skills, data
warehousing, data architecture, data engineering, transaction processing, security, performance analysis, analytics, etc. He/she
will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the
customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the
technical skills to be able to not only build and execute proof-of-concepts and benchmarks, but also to provide consultative
assistance in areas of product direction.
The person we’re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That
means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers
successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative
resource for both Snowflake and customers. And it means working collaboratively with a broad range of people both inside and
outside the company.
RESPONSIBILITIES:
* Be an expert on the topics of Snowflake architecture, query processing, workload profiling, data engineering, and Snowflake
tools
* Be an expert in competitor solutions/products for analytics and data engineering
* Define, automate, execute, and publish competitive benchmarks
* Partner closely with other engineering teams to deliver both results and guidance on performance gaps, challenges, advantages,
and disadvantages
* Collaborate with Product Management and Engineering to continuously improve Snowflake’s products and eco-system roadmaps.
OUR IDEAL APPLIED PERFORMANCE ENGINEER WILL HAVE:
* Minimum 5 years of experience in technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or
benchmark initiatives
* Experience and ability to work directly with other engineering teams, product managers, and various levels of management
* Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive
audiences
* Broad understanding of cloud platforms and solutions, including experience and understanding of large-scale
infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack)
* Proven track record of experience with Snowflake competitors
* Deep understanding of complete data engineering and analytics stack and workflow, from data ingestion and load to
transformation to data platform design to BI and analytics tools
* Deep technical expertise in databases, data warehouses, data processing, and applications
* Coding/programming experience in process automation
* Strong SQL performance analysis experience, Python and/or Java expertise, and the ability to use tools to identify and
articulate performance issues
STRONGLY DESIRED:
* Extensive knowledge of and experience with large-scale databases and distributed data processing technology (e.g. Databricks,
Spark, Netezza, Oracle, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, Postgres, Apache Spark, Ray,
Dask, Apache Kafka, Apache Flink, etc.)
* Software development experience with C/C++, Java, Scala, Spark
* Scripting experience with Python, Ruby, Perl, Bash
* Knowledge of and experience with AI and Machine Learning technologies either in use (eg. using a coding assistant), or in
development (eg. using technologies like PyTorch for training and inference).
* University degree in computer science, engineering, mathematics or related fields, 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
