Sales Engineer

About the Role

The sales engineering team at Acryl Data is a dynamic and growing group of professionals who are passionate about technology and dedicated to delivering exceptional customer experiences. As a Sales Engineer, you will be an integral part of this team, working collaboratively to identify and pursue new business opportunities, develop and present customized demos and presentations, and provide technical support to customers and prospects.

Acryl Data's solutions are designed to help organizations accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance. As a Sales Engineer, you will have the opportunity to work with a wide range of customers, from startups to Fortune 500 companies, and help them achieve their data and AI goals.

What You Will Do

• Partner with account executives to secure new business and drive sales growth
• Develop trusted advisor relationships with customer stakeholders and executive sponsors
• Engage with prospects to understand their needs and gather requirements
• Build and present demos and presentations tailored to specific customer needs
• Shape Proof of Concept success criteria and educate prospects on implementation and usage of the product
• Marshall internal cross-functional resources and orchestrate actions to help close deals
• Stay on top of industry trends and competitive analysis
• Gather customer feedback and work closely with the product team to enhance the product offering
• Help sales teams qualify prospects and build relationships with customers and prospects
• Articulate complex technical concepts to both technical and non-technical stakeholders

What We Are Looking For

• 5+ years of experience as a Sales Engineer, preferably in a B2B SaaS or open-source software company
• Strong technical skills, with experience in software development, databases, networking, and cloud computing
• Excellent communication skills, with the ability to communicate complex technical concepts to non-technical audiences
• Strong desire to be an enthusiastic member of a growing sales team
• Ability to work independently and as part of a team, with a strong sense of ownership and accountability
• Proven ability to build relationships with customers and prospects and to understand their business needs and pain points
• Familiarity with open-source software and the open-source community is a plus
• Experience demonstrating software solutions to enterprise-level clients
• Ability to work in a fast-paced environment and adapt to changing priorities

Nice to Have

• Experience with AI and data context platforms
• Knowledge of data governance and data management best practices
• Familiarity with cloud-based SaaS solutions and cloud computing platforms
• Certification in a relevant technical field, such as software development or data science

Benefits and Perks

• Competitive salary and equity package
• Medical, dental, and vision insurance
• Carrot Fertility Program and parental leave
• Remote-friendly work environment with a monthly co-working space budget
• Opportunities for professional growth and development in a fast-growing company
• Access to cutting-edge technology and innovative solutions
• Collaborative and dynamic work environment with a team of experienced professionals

• Tip: Highlight your experience with software development, databases, and cloud computing in your application, as these skills are highly valued in this role.
• Be prepared to demonstrate your technical expertise and ability to communicate complex concepts to non-technical stakeholders during the interview process.
• Show enthusiasm and passion for technology and innovation, and be prepared to discuss how you stay up-to-date with industry trends and developments.
• Emphasize your ability to work independently and as part of a team, and highlight your experience building relationships with customers and prospects.
• Consider creating a portfolio or examples of your work to demonstrate your technical skills and experience, such as code samples or case studies of successful sales engineering projects.
• Prepare to discuss your experience with AI and data context platforms, and be ready to provide examples of how you have applied your technical skills to drive sales growth and customer success.