On Day One We Will Expect You To Have
Sales-minded leader with 10+ years in enterprise customer-facing roles, with a track record of either (a) leading a paid support, premium services, designated technical advisory, or signature success-style organization, OR (b) selling and positioning technical solutions to enterprise customers in a senior field role at a cloud, data, or SaaS company (e.g., Sales Engineering, Sales Architect, Specialist Sales, Customer Engineering). Either path qualifies
Proven track record carrying or owning a revenue target tied to attach, expansion, or renewal in a customer-facing function (e.g., Sales Engineering, Professional Services, Premium Support). You can read a forecast and run a deal review
5+ years of leadership experience managing a multi-layered organization in a high-growth SaaS or cloud environment; demonstrated ability to coach front-line managers
Knowledge of the data warehousing, data management, analytics, AI, and/or cloud computing space
Experience selling and positioning technical solutions to enterprise customers and managing to commercial targets while working closely with cross-functional teams: sales, pre-sales, legal, marketing, finance, and product
Comfort operating inside transformation: you have moved a team from one operating model to another (e.g., reactive to proactive, cost center to revenue contributor) and can talk specifically about what worked and what did not, OR you have been part of a transformation as a senior individual contributor and can articulate how you would lead one
Executive-level communication and customer-facing presence; confident presenting both technical solutions and business impact to C-level customer audiences
Comfortable with Salesforce or other leading CRM tools
Demonstrated experience leading teams or running customer engagements using AI-native or AI-augmented approaches; comfort championing AI-driven delivery in a customer-facing function, articulating to customers how AI augments human advisory rather than replaces it, and evolving the operating model as new capabilities emerge (you are joining an active build, not inheriting a finished playbook)
Demonstrate detailed Snowflake product knowledge: vision, platform architecture, and the technical use cases customers run on Snowflake at scale
Understand the technical complexities of the modern data and AI cloud, the competitive environment, and confidently address customer concerns about adoption, migration, performance, and cost
Provide strong consultative skills and a clear understanding of paid support engagement models: what each program delivers post-sale, where the value lands for customers, and how to position the right fit
Direct experience launching or scaling a designated engineer, solutions architect team, TAM, or premium support program at a cloud data platform, hyperscaler, or enterprise SaaS company (e.g., Databricks, AWS, Google,Microsoft, Salesforce, ServiceNow, Red Hat, MongoDB, Oracle)
Internal Snowflake field experience (Solutions Engineering, Solutions Architect ) with deep relationships into regional Sales VPs and a track record of customer wins on technical solutions
Strong program, project, and process management skills