Why This Job is Featured on The SaaS Jobs
This Account Solution Engineer role sits at a common inflection point in enterprise SaaS: the handoff from initial purchase to real production usage. In data platform businesses, adoption is tightly linked to long-term retention and expansion, making technical onboarding and early architecture choices unusually consequential. The focus on the Snowflake AI Data Cloud also signals a product area where customers often need guidance that blends data engineering fundamentals with practical implementation support.
For SaaS professionals, the career value is the breadth of exposure across the post-sale lifecycle. Owning a portfolio of early-stage customers builds pattern recognition around what drives time-to-value, which technical blockers recur, and how to translate business outcomes into technical plans. The role also creates a direct feedback loop into product and engineering through field learnings, a transferable advantage for anyone aiming to operate at the intersection of customer needs and platform evolution.
The listing points to a fit for technically hands-on operators who also enjoy structured stakeholder communication. It will suit someone comfortable balancing advisory work, troubleshooting, and reusable enablement assets like labs or webinars. Arabic fluency and SQL competence appear central, suggesting the role favors candidates who can bridge regional customer engagement with practical data platform execution.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
The Opportunity: Accelerate the AI Data Cloud Journey
The Account Solution Engineer (Arabic speaker) is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the Snowflake AI Data Cloud. You will contribute to this mission by driving initial utilization, leveraging modern AI-powered tools and coding agents to ensure technical success.
This role bridges the critical gap by helping new and early-stage customers achieve rapid implementation, quick value, and a world-class experience on the Snowflake platform. You will be the dedicated customer technical partner, responsible for driving technical enablement and supporting the overall activation and adoption of our customers initial use cases.
This is a fantastic opportunity for technical professionals to develop deep expertise in cloud data architecture, make a measurable impact on customer success, and contribute to one of the fastest-growing technology companies.
Key Responsibilities and Deliverables
The Account Engineer manages a critical portfolio of new and early-stage customers, and is accountable for accelerating their time-to-value and achieving sustained platform growth. Operating as a Full-Stack Technical Resource, this role blends deep hands-on expertise with the strategic acumen of a business leader.
Strategic Ownership and Value Creation
Lead Your Account Micro-Business: Take ownership of the technical success and consumption trajectory within your assigned portfolio, driving adoption metrics in your assigned accounts, acting as a single point of contact for all customer needs.
Driving Outcome-Based Utilization: Apply an outcome-based selling mindset to customer engagements, focusing on how the Snowflake AI Data Cloud helps them solve complex data challenges and unlock maximum business value—not just product features.
Strategic Advisory and Guidance: Serve as a trusted strategic advisor immediately following the initial contract close, providing guidance on data strategy, technology stack integration, and ensuring a swift, successful activation of Use Cases.
Deliver Technical Value with AI: Deliver technical value efficiently by leveraging cutting-edge AI-powered development tools and automation to accelerate solutions and implementation guidance, helping customers move faster to production.
Technical Execution and Collaboration
Architectural Leadership: Provide customers with critical, Snowflake-specific foundational guidance, including Architectural Best Practices, Workload Isolation & Warehouse Utilization, Resource Monitoring & Alerts, Budgeting, and RBAC/Security Setup.
Cross-Functional Collaboration: Collaborate effectively with the Account Team to highlight risks and establish and nurture trusted relationships with internal Snowflake teams (e.g., Professional Services, Support) and external partners to ensure seamless resource orchestration.
Develop Scalable Programs: Create and deliver reusable, high-impact programs, such as Hands-on Labs (HoLs) and webinars, to educate a wide customer audience on specific platform features and industry best practices.
Technical Feedback Loop & Innovation: Act as a key feedback loop from the field to influence future product development, working closely with Product Management and Engineering teams.
Expert Support and Triage: Efficiently triage a broad array of incoming customer inquiries, assisting the field team with demos, troubleshooting, and identifying opportunities to qualify potential business value for the Expansion team.
Required Qualifications
We are seeking highly skilled and motivated technical professionals eager to launch their next career chapter with us.
Technical Aptitude: Hands-on experience with SQL is required.
Fluent in Arabic
Data & Cloud Knowledge: Strong foundational understanding and experience with data architecture, data analytics, and the core concepts of major cloud platforms (AWS, Azure, Google Cloud).
Growth Mindset: A strong desire to learn, grow your technical skills, and become an expert in the Snowflake platform.
Communication Skills: Excellent written and verbal communication skills with the ability to communicate technical concepts clearly and effectively to diverse audiences.
Professional Skills: Ability to handle multiple projects simultaneously and possess Project Management skills to track, manage, and drive customers to an agreed-upon timeline.
Education: University degree in computer science, engineering, mathematics, or related fields, or equivalent practical experience in a technical role.
What Sets You Apart (Preferred Qualifications)
SnowPro Core certification
Proficiency in additional coding languages, particularly Python, Java, or Scala, especially in a data or application development context.
Experience with modern data technologies (e.g., CI/CD tooling, orchestration tools) or a basic understanding of Data Science concepts.
Prior experience or strong interest in leveraging AI-powered development tools and coding agents to increase solution delivery efficiency.
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
