Full-Time

Developer Advocate

Posted on 8/22/2026

Snowflake

Snowflake

10,001+ employees

Cloud-based data warehousing and analytics platform

Compensation Overview

$122k - $175k/yr

Company Historically Provides H1B Sponsorship

Toronto, ON, Canada + 2 more

More locations: Menlo Park, CA, USA | Bellevue, WA, USA

In Person

Bachelor's, Master's

Category
Developer Relations
Required Skills
LLM
Data Science
SQL
RAG
Version Control
REST APIs
DevOps

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Requirements
  • Completion of a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, Human-Computer Interaction, or a related technical field, or equivalent practical experience.
  • A strong technical foundation and experience building software products demonstrated through prior roles, internships, coursework, open-source contributions, or substantial personal projects.
  • Hands-on experience with developer tools, APIs, software development kits, command-line interface tools, source control, and continuous integration/continuous delivery.
  • Familiarity with modern artificial intelligence development, including prompting, grounding, evaluation, retrieval-augmented generation, agents, tool calling, or large language model APIs.
  • Excellent written and verbal communication, with the ability to explain technical concepts through clear narratives, examples, and presentations.
  • Comfort presenting and facilitating technical sessions for groups with different levels of experience.
  • Ability to structure ambiguous problems, learn quickly, seek feedback, and iterate.
  • Strong collaboration skills and experience working across technical and non-technical teams through school, internships, community work, or prior roles.
Responsibilities
  • Create technical content and adoption assets, including documentation, quickstarts, tutorials, code samples, demos, and reference applications for developers and data practitioners.
  • Turn complex artificial intelligence, data, and application-development concepts into approachable, practical learning experiences.
  • Contribute reusable patterns, templates, and playbooks that help builders move from first use to production.
  • Help prepare priority artificial intelligence and developer products for launch by testing developer journeys, identifying friction, and creating day-one enablement assets.
  • Design and deliver workshops, hackathons, talks, and hands-on labs for customers, partners, students, and developer communities.
  • Work with field and go-to-market teams on customer-ready demos, solution briefs, presentations, and technical walkthroughs.
  • Gather feedback from community, customers, field teams, support, documentation, and product usage, then synthesize it into clear developer insights.
  • Partner with Product and Engineering to improve onboarding, documentation, samples, application programming interfaces, tools, and the overall developer experience.
  • Use qualitative feedback and adoption metrics to evaluate work and improve content and programs over time.
  • Participate in developer, data, artificial intelligence, and open-source communities through events, forums, technical content, and contributions.
  • Build relationships with practitioners, learn where they get stuck, and help them succeed with Snowflake and the broader ecosystem.
  • Share emerging developer needs, tools, and practices with internal teams.
Desired Qualifications
  • Internship, co-op, or project experience as a software, data, machine learning/artificial intelligence, or solutions engineer.
  • Experience with Snowflake or another cloud data platform.
  • Understanding of data and analytics workflows such as Structured Query Language, extract-load-transform/extract-transform-load, notebooks, dbt, data science, or application development.
  • Contributions to open-source projects, technical blogs, documentation, videos, or developer communities.
  • Experience organizing hackathons, meetups, workshops, student clubs, or other technical community programs.
  • Experience measuring content, community, or product adoption using quantitative and qualitative signals.

Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 FY2026 product revenue grew 32% to $1.09 billion, with 125% net retention.
  • Snowflake raised FY2026 product revenue guidance to $4.395 billion after stronger AI usage.
  • Energy Solutions and 30-plus partner-built solutions broaden vertical demand across utilities and oil.

What critics are saying

  • Snowflake faces In Re: Snowflake Data Security Breach Litigation in federal court, August 2026.
  • March 2026 cuts hit about 70 technical writers, signaling efficiency pressure and AI replacement.
  • Databricks and Apache Iceberg erode warehouse lock-in; slower platform differentiation compresses spending.

What makes Snowflake unique

  • Snowflake keeps data inside governed accounts while running AI, analytics, and agents together.
  • Cortex AI Gateway, Snowflake Intelligence, and Cortex Code deepen the enterprise control plane.
  • Marketplace partners earned over $100 million in H1 2026, reinforcing ecosystem gravity.

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

-4%
Associated Press
Aug 18th, 2026
Snowflake introduces dynamic model routing to cut AI costs with automatic model selection

Snowflake has introduced dynamic model routing within its Cortex AI Gateway and flagship AI products, alongside expanded access to open-source models. The feature automatically selects the optimal AI model based on task complexity and cost, directing simpler tasks to efficient models whilst reserving frontier models for complex reasoning. Dynamic model routing is integrated across Snowflake CoCo and Snowflake CoWork, and available to third-party AI agents. The company is also adding models including DeepSeek-V4-Flash 0731 and GLM-5.3 to its Cortex AI portfolio. Internal testing showed agents using dynamic routing achieved up to three times greater token efficiency whilst maintaining quality. In separate tests, engineering teams completed pull-requests with 25 per cent greater token efficiency. The features aim to help enterprises reduce AI spending whilst maintaining data governance within Snowflake's platform.

Associated Press
Aug 18th, 2026
Evolution Analytics launches WIRE™ for claims on Snowflake Marketplace

Evolution Analytics has launched WIRE™ for Claims, a Snowflake Native App, on Snowflake Marketplace. The application enables insurance carriers, third-party administrators, and claims organisations to automate claims triage, routing, investigation, and resolution whilst keeping policyholder data within their Snowflake environment. WIRE™ uses Snowflake Cortex AI to provide operational context and AI-powered guidance for claims processing. The platform runs entirely inside a customer's Snowflake account, allowing organisations to leverage native security, governance, and encryption capabilities without moving sensitive data. "Most claims organisations have invested heavily in data, yet many critical claims processes still rely on manual work," said Vince Belanger, founding principal at Evolution Analytics. The application aims to reduce cycle times, improve adjuster productivity, control operational costs, and deliver consistent customer experiences for insurance companies.

Yahoo Finance
Aug 15th, 2026
Snowflake hits $4.7B revenue with 29% growth despite $1.3B loss vs Verizon's steady $138B

Snowflake reported revenue of $4.7 billion for the fiscal year ended 31 January 2026, representing 29.2% growth year-over-year. The cloud data platform provider counted 790 Forbes Global 2000 companies as customers but posted a net loss of $1.3 billion for the period. Verizon generated $138.2 billion in revenue for the year ended 31 December 2025, up 2.5% from the previous year. The telecommunications giant reported net income of $17.2 billion and produced $20.1 billion in free cash flow whilst serving 146.8 million wireless retail connections. The comparison highlights contrasting investment profiles: Snowflake offers high growth potential with significant volatility, whilst Verizon provides steady income through its 5.8% dividend yield but carries substantial debt of $131.1 billion.

Yahoo Finance
Aug 12th, 2026
Oppenheimer raises Snowflake price target to $400 on AI coding agent CoCo adoption

Oppenheimer has raised its price target for Snowflake to $400 from $295, citing stronger consumption trends and growing adoption of AI coding agent CoCo. The firm expects product revenue of roughly $1.469 billion, approximately 3% to 4% above consensus, while maintaining its Outperform rating. Analysts said channel checks showed strength across regions and industries, including larger deals and faster migrations. CoCo is helping customers build AI applications whilst encouraging migration of traditional analytics workloads onto Snowflake's platform. In its fiscal first quarter, Snowflake's product revenue grew 34% to $1.33 billion. The company had 779 customers generating over $1 million in trailing-12-month product revenue. Snowflake reports second-quarter results on 2 September.

Yahoo Finance
Aug 10th, 2026
Snowflake adds Alteryx One no-code AI tool to marketplace for enterprise data workflows

Snowflake has added Alteryx One to its Snowflake Marketplace, enabling joint customers to work with AI-ready enterprise data using a no-code interface within the Snowflake AI Data Cloud. The integration allows business teams and IT departments to run analysis, workflows, and automation directly inside Snowflake through Alteryx One. The partnership extends Snowflake's ecosystem and aims to support secure, governed, and scalable analytics and AI deployment for enterprise users. Business users can prepare, analyse, and automate workflows where data already sits, whilst technical teams can add code, custom AI models, and advanced tools on top. The move supports Snowflake's positioning as a core data and AI hub beyond just storage and compute, targeting "last mile" analytics where decisions are made from governed data without moving it to separate tools.