Enterprise Solutions Engineer
Enterprise Solutions Engineer who partners with account executives to architect generative AI solutions, create tailored demonstrations, and guide complex enterprise integrations. The role requires 4–6 years of customer-facing sales engineering experience and strong communication across executive, business, and engineering stakeholders.
About the job
Responsibilities
- Partner with Account Executives to discover and qualify solutions that deliver strong return on investment for customers.
- Create and architect generative AI experiences for customers’ end users.
- Develop custom demonstrations using the Decagon platform, tailored to specific customer needs and value.
- Communicate complex technical concepts clearly to diverse stakeholders, including C-level decision-makers, business users, and engineering stakeholders.
- Serve as a technical advisor and trusted consultant to enterprise prospects and customers.
- Drive value-based solutioning and integration of an AI-native platform into complex customer ecosystems.
Requirements
- 4–6 years of customer-facing experience in a sales engineering or pre-sales role.
- Strong interpersonal and teamwork skills.
- Functional understanding of go-to-market systems and workflows.
Nice-to-haves
- 2+ years of AI sales engineering experience.
- Experience in a high-growth startup environment.
Benefits
- Medical, dental, and vision benefits for employees and their families.
- Life insurance and disability benefits.
- Retirement plan, such as a 401(k) or pension.
- Parental leave.
- Fertility and family-building benefits through Carrot.
- Monthly wellness, lifestyle, and work-life balance stipend.
- Daily office lunches and snacks.
- Take-what-you-need vacation policy, subject to local requirements.
Skills
Generative AI, Sales Engineering, Pre-Sales, Enterprise Architecture, Solutions Architecture, Ai Platforms, Go-To-Market Systems, Customer-Facing Consulting
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