In this role, you will:

• Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed
• Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM
• Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data
• Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just completion. This requires technical building skills.
• Act as the connector and translator between Product, Field, Leadership, and the Learner; managing intake, building targeted technical content, measuring whether the field activated on the learning, and aligning to release cadence.
• Establish yourself with SE leadership as a key member of their extended leadership team
• Scale local enablement to org-wide capability, capturing what's working and packaging it for the rest of the field
• Collaborate with the Global SE Onboarding team to shape and continuously refine the everboarding program based on the segment's needs

Required Skills:

• A minimum of 10 years of related experience with a focus on enterprise software, solution engineering, and enablement in the data space
• Bachelor’s degree
• Exceptional business, technical, and sales acumen
• Deep technical expertise in skills database OLAP/OLTP, SQL, and/or Python
• Snowflake experience, SnowPro Core, and/or SnowPro Advanced is a plus
• Data science or Spark experience is a plus
• Experienced in designing, building, and delivering enablement programs
• Ability to lead through influence
• Ability to establish sponsorship and secure support from a diverse group of internal stakeholders and cross-functional partners to successfully deliver programs
• Ability to manage competing priorities across multiple projects, while meeting deadlines and producing quality deliverables
• Highly organized with excellent communication skills (including presentation skills)
• Experience working in a fast-changing environment that requires strategic thinking, resourcefulness, agility, results-oriented decision-making, and commitment to excellence

Job Data by YubHub.

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.

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

• 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: 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.

Performance Assessment & Career Path

• This role is designed as a direct path to a successful career within the Snowflake Solution Engineering organization.

• 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.

Job Data by YubHub.