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Scale AIScale AI

Solutions Engineer, Enterprise

This Solutions Engineer partners with sales and technical teams to deliver customized demos, prototypes, scopes of work, and initial implementations for enterprise customers. The role requires strong engineering experience, client-facing technical expertise, and familiarity with cloud, SaaS, or AI applications.

About the job

Responsibilities

  • Partner with Account Executives on the customer journey, delivering tailored demos and prototypes based on customer requirements.
  • Develop technical domain expertise in generative AI and large language model applications for enterprise use cases, including financial services, insurance, and SaaS customers.
  • Secure the “technical win” by unblocking technical challenges.
  • Interact with customers daily to understand their needs and design solutions that address them.
  • Design and develop Scopes of Work by breaking down customer challenges into project plans.
  • Work closely with forward-deployed Software and Machine Learning Engineers during the initial post-sales implementation stage to develop agents.
  • Work with Account Executives and Product Managers to identify customer-specific feature requests.
  • Drive strategic initiatives to improve the efficiency and effectiveness of the Solutions Engineering team.

Requirements

  • Strong engineering background with prior experience working with clients in a pre-sales or post-sales capacity to achieve business goals.
  • Experience developing with Python, Java, and/or other web development languages.
  • Experience in enterprise SaaS, cloud technology, finance, fintech, or similar industries in a technical capacity with end-customer engagement.
  • Track record as a self-starter who can independently unblock technical issues in the field with customers.
  • Presentation skills and technical credibility when speaking with executives and front-line engineers.
  • Ability to communicate effectively across internal and external organizations.
  • Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice-to-haves

  • Generative AI experience.
  • Forward-deployed engineering experience.
  • Machine learning experience.

Compensation and Benefits

  • No compensation information provided.

Skills

Python, Java, Generative AI, LLMs, Machine Learning, Enterprise Saas, Cloud Technology, Web Development

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