Account Engineer

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Account Engineer 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.

• Must be fluent in English - Must be able/willing to travel to the US when needed for onboarding & training - Technical Aptitude: Hands-on experience with SQL is required.
• 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

• Professional

Skills

• 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 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.

• Impact Metrics: Performance is primarily assessed on customer success and platform adoption metrics: - Consumption: Driving new customer consumption for the initial contract period.
• Use Cases: Documented success of helping customers move Use Cases to Production.
• Growth: Measured via customer retention and growth within the managed portfolio.

• Showcase a portfolio of Excel‑driven data pipelines or dashboards that integrate Snowflake’s cloud data platform (e.g., using Snowflake’s native connectors, SnowSQL, or Python/SQL scripts). Include screenshots, brief performance metrics, and a short video walk‑through to demonstrate how you automated data ingestion, transformation, or reporting for a client‑facing team.
• In your cover letter and interview, reference specific Snowflake AI features (such as Snowpark, Snowflake’s native ML model serving, or the recently launched “Snowflake AI Store”). Prepare a 5‑minute case study where you leveraged an LLM or generative AI to solve a data‑analysis problem in Excel—highlight the prompt engineering, validation steps, and measurable impact.
• Emphasize low‑ego, collaborative habits: share concrete examples of cross‑functional projects where you acted as a technical liaison between sales, product, and engineering while working fully remote across time zones (e.g., coordinating daily 30‑minute “sync‑up” windows that respected both US and Colombia work hours). Mention the tools you used (Slack, Teams, Miro, Asana) and how you maintained transparent documentation in Confluence or Notion.
• Prepare for Snowflake’s “experiment‑first” interview rounds by bringing a mini‑prototype: a small Snowflake worksheet that pulls sample data, applies a transformation, and visualizes results in Excel using the Snowflake Excel Add‑in. Be ready to walk interviewers through your iterative testing process, discuss failures, and explain how you would scale the solution for a large enterprise account.
• When negotiating salary, research the Colombian remote compensation band for senior technical sales roles at Snowflake (typically 180–230 k COP per month plus equity). Leverage your proven AI‑enhanced Excel solutions and any quantified ROI (e.g., “reduced client onboarding time by 30 %”) to justify a higher base or a larger stock grant, and ask for a clear roadmap for performance‑based equity vesting tied to account expansion targets.