AI-Powered Enterprise Solutions Engineer

Fdetimes

Australia

A distancia

AUD 120.000 - 180.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, Vision
Life Insurance
Retirement Plan
Parental Leave
Wellness stipend
Office lunches
Flexible vacation

Descripción de la vacante

Decagon is seeking a Solutions Engineer to shape the future of AI-powered enterprise solutions. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture, serving as a trusted technical advisor to customers.

You will drive value-based solutioning, architect AI experiences, and deliver tailored demonstrations while collaborating with marketing, sales, and product teams to ensure successful deployments.

Formación

  • 4–6 years of customer facing experience in a sales engineering (pre-sales) role.
  • Able to architect AI experiences for enterprise customers.
  • Partner with Account Executives to discover and qualify solutions.
  • Create tailored demos and communicate ROI to stakeholders.

Responsabilidades

  • Lead pre-sales engagements with enterprise prospects.
  • Develop and tailor demonstrations using the Decagon platform.
  • Architect AI experiences for customers in enterprise environments.
  • Communicate complex technical concepts to C-level and technical stakeholders.
  • Collaborate with GTM and product teams to position solutions.

Conocimientos

Sales engineering
Customer facing
AI experiences
Communicate complex concepts
GTW systems
Team collaboration

Herramientas

Decagon platform

Descripción del empleo

Decagon is seeking a Solutions Engineer to shape the future of AI-powered enterprise solutions. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture, serving as a trusted technical advisor to customers.

You will drive value-based solutioning, architect AI experiences, and deliver tailored demonstrations while collaborating with marketing, sales, and product teams to ensure successful deployments.

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