Software Engineer, Snowflake

Agents For Code

$160-230k

SQL

Python

Snowflake

Oracle

Junior and Mid level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Be an early applicant

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

$160-230k

SQL

Python

Snowflake

Oracle

Junior and Mid level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

Education: Bachelor’s degree in Computer Science, Engineering, or a related field
Experience: 1-3 years of software engineering experience, with a strong interest or project experience in shipping AI/ML features or LLM-based applications
Technical Proficiency: Strong programming skills in Python and experience with SQL (Snowflake, SQL Server, Oracle, or Teradata experience is a plus)
AI Fundamentals: Familiarity with AI engineering and agentic workflows
Communication: Strong communication skills and ability to collaborate effectively in a team environment

What the job involves

The Cortex team is leveraging coding agents to accelerate user workflows. Our mission is to build autonomous, agentic systems that augment and automate complex coding, migration, and testing workflows
Your work will directly impact the speed at which the world’s largest companies modernize their data stacks. You will work within a high-powered team of engineers and scientists. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization
Build Agentic Systems: Build sophisticated agents and tools for migrating SQL and ETL pipelines from legacy systems for customers adopting snowflake
Quality Improvements: Create "golden sets" and rubrics to measure the accuracy of AI-driven processes across various workflows. "Hillclimb" on metrics to optimize agentic systems
Scale Automated Coding: Scale automated coding agents to reduce human effort by 90%
Design & Execute Evals: Collaborate with FDE and Product: Partner with Forward Deployed Engineers (FDEs) and other product teams to translate real-world challenges into automated product features, ensuring a rapid feedback loop for tooling improvements

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

37% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

Comprehensive health insurance plans
Health savings accounts
Robust retirement plans
Life and disability insurance
Weekly online lunch and learns
Virtual workout classes
Ergonomic work-from-home equipment
On-demand mental health and wellness programs
Fertility benefits and family planning resources
Generous time-off and various leave plans
Onsite and Remote Work
Employee discounts and pre-tax selections
New hire equity + Employee Stock Purchase Plan (ESPP)
Quarterly bonus or commission program

Company HQ

Menlo Park, CA

Leadership

Benoit Dageville

(Co-Founder & President of Product)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Sridhar Ramaswamy

(Chief Executive Officer)

Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.

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