Sales Solution Engineer - Data/AI/Revenue

About the role

Founded in 2005, Pierce Washington helps clients transform their quote-to-cash process. We are creating a next-generation Total Commerce Company and will own the Total Commerce category – a fast-growing segment in the tech industry. This is the place to come to if you want to work with the best, get in at the ground floor and help sustain and grow one of the best places to work. We have completed over 100 CPQ projects enabling leading enterprise companies to achieve their most complex Q2C process automation goals and transform how they do business.

Responsibilities

• Develop and deliver engaging demonstrations of Salesforce Data Cloud, Agentforce, and other AI tools, integrated into other enterprise applications, illustrating their capabilities in driving business outcomes.
• Design and prototype cutting edge AI-powered use cases, demonstrating innovative applications to improve customer engagement and service efficiency.
• Provide strategic pre-sales technical guidance on data architectures, addressing client needs for data ingestion, integration, & real-time analytics.
• Serve as a trusted technical advisor to customers and partners, building strong relationships with their technical counterparts and stakeholders.
• Conduct proof of concepts and technical workshops, showcasing the potential of AI and data-driven solutions to transform client operations.
• Collaborate with the sales team and marketing team to develop targeted packages and strategies that leverage Data Cloud and AI solutions to drive revenue.

Requirements

• Previous Sales Engineering experience.
• Proven experience in architecting and delivering data-centric and AI-driven technical presentations, workshops, customized demos, and proof of concepts on Salesforce platforms.
• Deep understanding of data management, data architecture design, and the practical application of AI within Salesforce Data Cloud and Agentforce, or similar tools, and general knowledge of common AI applications and use cases.
• Strong communication and relationship-building skills with a customer-focused approach, capable of articulating how technical capabilities map to client needs.
• Ability to work autonomously and collaboratively with cross-functional teams, including sales, engineering, and client stakeholders.