S

Snowflake

Runs a cloud platform for business data and AI

AI Product Sales Specialist

Full-TimeUpdated on 10/15/2026
No salary listed
Expert
Bachelor's
Tokyo, Japan
In Person
Sales & Account ManagementAccount Executive

About the job

Requirements
  • At least 10 years of professional experience and at least 6 years of sales experience, consistently exceeding sales objectives while selling technical solutions and software products.
  • In-depth knowledge of artificial intelligence, machine learning, and transformation technologies, with proven expertise driving successful sales initiatives in these domains.
  • A strong track record of meeting or exceeding revenue targets in highly competitive markets.
  • Familiarity with solution-based selling and experience managing a complex sales process, along with presentation, listening, organization, and contact management capabilities.
  • Ability to independently manage, develop, and close new client relationships.
  • Strong presentation and communication skills to engage senior executives and key decision-makers at technical and business levels.
  • Ability to work across cross-functional teams, including Sales Engineering, Professional Services, Marketing, and Product.
  • Fluency in both Japanese and English is required.
Responsibilities
  • Achieve quarterly and annual pipeline-generation and revenue targets for allocated accounts or territory by developing a sales strategy and target account list.
  • Execute tailored sales plays to capture artificial intelligence and machine learning market opportunities and help customers optimize their use of Snowflake’s platform.
  • Work directly with customers to understand their artificial intelligence and machine learning needs, communicate insights that inform Snowflake’s product roadmap, and ensure alignment with customer requirements.
  • Develop expertise in Snowflake’s artificial intelligence and machine learning solutions and provide executive-level insights to customers and partners, guiding strategic discussions that emphasize the value of these capabilities.
  • Work with Account Executives, Sales Engineers, and Field CTOs to drive customer engagements from discovery and qualification through solution implementation and deployment.
  • Track, analyze, and report on artificial intelligence and machine learning sales performance metrics, using data-driven insights to optimize strategies and drive continuous improvement.
  • Partner with the broader cross-functional organization to integrate artificial intelligence and machine learning sales efforts with Snowflake’s overall go-to-market plans.
Desired Qualifications
  • A bachelor’s degree or equivalent work experience.

About the company

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

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Simplify's Take

What believers are saying

  • Growth supports a larger business: Snowflake product revenue rose 37% to $1.49 billion in the July 2026 quarter.
  • Employees buy discounted stock: eligible Snowflake staff pay 15% below the lower starting or ending six-month price.
  • Existing customers spend more: Snowflake reported 126% revenue retention in September 2026, after contractions and lost customers.

What critics are saying

  • Debt has a deadline: Snowflake priced $3.75 billion of notes in September 2026, maturing in 2029 and 2031.
  • Remote work is limited: Snowflake requires most employees to work from physical offices despite its globally distributed branding.
  • Suppliers also compete: AWS, Microsoft Azure, and Google Cloud host Snowflake while selling rival data platforms.

What makes Snowflake unique

  • Different engineering foundations: Snowflake built a cloud-native SQL engine; Databricks extends Spark with proprietary Photon execution.
  • Data sellers keep control: Snowflake Marketplace lets them charge for live tables without distributing copied files.
  • Software vendors enter customers' accounts: Snowflake Native Apps install business logic beside governed data instead of hosting it separately.

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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

3%

1 year growth

2%

2 year growth

2%
Yahoo Finance
Oct 13th, 2026
Snowflake stock is up 169% in six months, but AI sales cut margins to 74%

Snowflake's stock has returned 169% over the past six months, against 14.0% for the S&P 500. But on its September 2, 2026 earnings call, executives said AI sales earn less than the rest of its products. The company cut its fiscal 2027 adjusted product gross margin forecast to 74% from 75%, citing a growing share of lower-margin AI workloads. Product revenue grew 37% year over year in fiscal Q2 2027, with AI contributing about half of the acceleration. Product revenue makes up 95% of total sales. Snowflake trades at 23.2 times sales, against 3.1 for the S&P 500, and its net margin is negative 20.1%. Management raised its adjusted operating margin forecast to 14.5% from 13.5% and still expects a GAAP profit in the fourth quarter of fiscal 2028.

Yahoo Finance
Sep 30th, 2026
UiPath and Snowflake launch two-way integration for AI agents with zero-copy data access

UiPath and Snowflake have expanded their partnership with a two-way integration now available on Snowflake Marketplace. The integration allows customers to bring Snowflake data into UiPath automations and trigger those automations directly from Snowflake without copying data between systems. The partnership includes three key components: UiPath Data Fabric, which reads and models data directly from Snowflake without duplication; UiPath Cartographer, offering native Snowflake Cortex connectivity; and Snowflake CoCo integration with UiPath's agentic skills library for executing automation directly from CoCo. The zero-copy integration maintains data governance, including access controls, policies, and auditability, whilst enabling real-time enterprise context flow into the UiPath Platform. This allows organisations to build AI agents and workflows grounded in governed, live data whilst maintaining security boundaries. UiPath is now available on Snowflake Marketplace, simplifying deployment for joint customers.

Yahoo Finance
Sep 30th, 2026
MongoDB CEO departs to Meta, stock drops 18% as valuation falls to 9.7x sales

MongoDB shares plunged 18.46% to $334.68 after chief executive Chirantan Desai departed to lead Meta's new Enterprise Platform unit. Snowflake fell 2.33% to $328.12 the same day. MongoDB generated $2.78 billion in trailing revenue, up 30.5% year-over-year, with operating margin turning positive at 3.68%. The company reported $561 million in free cash flow and holds $2.41 billion in cash against $55 million in debt. Remaining performance obligations grew 91%. Snowflake posted $5.43 billion in trailing revenue, growing 35.1% in its most recent quarter. Despite a negative 17% operating margin and $1.09 billion net loss, the company generated $1.74 billion in free cash flow. MongoDB's market value dropped to $26.9 billion, whilst Snowflake carries modest net debt.

Yahoo Finance
Sep 29th, 2026
Snowflake stock surges 115% as AI push drives accelerating revenue growth

Snowflake stock surged 115% in the six months to September 28, 2026, driven by accelerating revenue growth aided by its AI products. Early signs of the rally appeared in November 2024, when management reported remaining performance obligations growing at 55% year-over-year, signalling future revenue acceleration. Revenue growth initially remained modest, ranging between 26% and 30% through fiscal Q4 2026. However, by the time the stock began its run on March 27, 2026, revenue growth was already trending upward in filed results. The company's operating loss also narrowed significantly, from 43% of revenue in fiscal Q1 2026 to 25% by fiscal Q4 2026. This improvement continued as the operating loss shrunk to 23% of revenue over the last twelve months. Snowflake now trades at 21.1 times annual sales, compared to 3.1 times for the S&P 500.

Yahoo Finance
Sep 28th, 2026
Transcend launches Snowflake Native App to automate data consent and preferences management

Transcend has launched its Consent & Preferences Management solution as a Snowflake Native App on Snowflake Marketplace. The app brings Transcend's consent and preference data directly into customers' Snowflake accounts, automatically converting it into enforceable policy. The integration addresses a common challenge: determining whether customer data can be legally used for specific purposes. The app applies governance controls within Snowflake without requiring custom pipelines or SQL knowledge, enabling teams across marketing, privacy, and data to access one unified answer. The native app transforms consent data into row access policies and safe views, enforced at query time. Data stewards gain real-time visibility into which datasets are governed, with one-click remediation for gaps. TextNow is already using the solution, with Head of Platform and Security Engineering Andrew Cotton noting it reduces implementation time from weeks to hours.