Senior AI/ML Frontend Engineer, Snowflake

$195-287.5k

+ Eligible to participate in Snowflake’s bonus and equity plan

React

TypeScript

JavaScript

Python

Java

Senior and Expert 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

$195-287.5k

+ Eligible to participate in Snowflake’s bonus and equity plan

React

TypeScript

JavaScript

Python

Java

Senior and Expert 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

Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred
5 years of experience in software development, product engineering, or a related role
Proficiency in JavaScript/TypeScript and another language such as Python/Go/Java
Experience with React web development library
Strong understanding of software engineering principles, including design patterns, data structures, and algorithms
Excellent problem-solving skills and ability to troubleshoot technical issues in a production environment
Experience with building LLM Applications is a plus (through prior work or personal interest)
Effective communication skills and ability to collaborate effectively in a cross-functional team environment
Passion for building innovative products and delivering impactful solutions to users

What the job involves

We are seeking a motivated and skilled Frontend Engineer to join our dynamic team building AI/ML Applications for the enterprise.
In this role, you will be responsible for implementing the user experience across the entire lifecycle of our products enabling enterprises to talk with their structured data and gain insights from them in unprecedented ways, from conception through development to deployment.
You will collaborate closely with cross-functional teams, including product managers, designers, and developers, to deliver high-quality AI/ML powered experiences that meet customer needs and business goals
Work closely with product managers to understand product requirements, user needs, and business objectives
Translate product requirements into technical specifications and engineering plans
Design and develop prototypes, proof of concepts, and production-ready solutions
Implement and test new features, functionalities, and improvements across the product lifecycle
Collaborate with UX/UI designers to ensure intuitive user interfaces and exceptional user experience
Conduct thorough testing and validation to ensure product quality and reliability
Optimize and refactor code to improve performance, maintainability, and scalability
Participate in code reviews, provide constructive feedback, and mentor junior team members
Monitor and analyze user feedback and metrics to continuously improve product features and performance
Stay updated with industry trends, best practices, and emerging technologies relevant to product development

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 (3.9)

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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