Joblaze summary

The Enterprise Solutions Engineer at Decagon plays a crucial role in bridging technical expertise with customer needs, focusing on integrating AI solutions into complex enterprise environments. This position requires a solid background in sales engineering, particularly in crafting tailored demonstrations and solutions that resonate with diverse stakeholders, including C-level executives. Ideal candidates will have several years of customer-facing experience, preferably in a high-growth startup, and a strong grasp of generative AI applications. Decagon emphasizes a collaborative work culture, driven by a commitment to innovation and excellence.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Decagon's careers page October 29, 2026.
AI/ML appears in 46.9% of 827 comparable mid ai/ml roles.

Quick facts

Is the Enterprise Solutions Engineer role remote?: No — this is an on-site role in Australia.
How much experience is required?: 4–6 years of relevant experience for this Enterprise Solutions Engineer role.
Where is the role based?: Decagon is hiring for this position in Australia.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?: Decagon targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Enterprise Solutions Engineer role at Decagon.

From the original posting

About the Role

Decagon is looking for a Solutions Engineer, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems.

Your background looks something like this

4-6 years of customer facing experience in a sales engineering (pre-sales) role
Partner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customer
Create and architect generative AI experiences for our customer’s end users
Develop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and value
Communicate complex technical concepts clearly to diverse stakeholders, including C-level decision makers, business users, and engineering stakeholders
Strong interpersonal and teamwork skills
Functional understanding of GTM systems and workflows

Even better if you have

2+ years of AI sales engineering experience
Experience in a high-growth startup environment

Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot

Standard company text repeated across Decagon's postings is omitted here.

Enterprise Solutions Engineer

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