Salary
💰 $157,500 - $175,000 per year
About the role
- Support Snowflake's Healthcare & LifeSciences division and drive account expansion
- Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance
- Leverage knowledge of a domain or industry to align Snowflake’s value to the customers’ business and technical problems
- Maintain deep understanding of competitive and complementary technologies and vendors and position Snowflake accordingly
- Conduct discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle
- Produce detailed solution proposals and support implementation teams
- Deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, proofs of concept, and best practices throughout the sales cycle
- Guide customers in digital transformation and cloud adoption and understand Snowflake integration with holistic architecture and strategy
- Provide ongoing, post-sales, technical guidance to drive customer utilization and digital transformation success
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Requirements
- 10+ years of relevant experience in an enterprise sales role for a SaaS, IaaS, or PaaS company
- Experience working with Healthcare & LifeSciences customers highly preferred
- Outstanding presenting skills to both technical and executive audiences
- Exceptional problem solving, organizational, decision making and presentation skills
- Ability to work in an independent, collaborative and fast paced environment
- Bachelor's degree in science, technology, engineering, math or equivalent experience preferred
- Ability to travel regionally as needed
- Act customer first and obsessed with helping customers drive digital transformation
- Knowledge and experience within the data science, analytics, or big data markets
- Comfortable talking with all levels of customer teams from individual contributors to C-level executives using language that appropriately translates complex technical and business information