CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.

About the role

We’re looking for an Enterprise Solutions Engineer to help our customers as a trusted advisor by understanding their needs and serving as an internal resource on technical issues or specific business applications. This role will be responsible for technical, demo, and sales presentations to the customer's technical staff and senior management. This role reports to the Vice President of Customer Success.

Responsibilities:

Partner with Enterprise Account Executives to plan, support, and execute sales and technical strategy for Fortune 500 companies.
Serve as a consultative partner to enterprise customers, guiding them on how to leverage CoreStory's AI-driven solutions to understand and modernize their legacy software and development processes.
Craft and deliver technical, demo, and sales presentations to customer's technical staff and senior management.
Communicate the value of AI-driven requirements generation and code transformation tools to both technical and non-technical stakeholders, showcasing how these tools can accelerate development timelines and optimize existing systems.
Serve as a trusted technology advisor to customers and serve as an internal resource on technical issues or specific business applications within an assigned market segment.
Tailor platform capabilities, such as reverse engineering and automated specification generation, to meet unique customer requirements, and demonstrate the flexibility and adaptability of the CoreStory platform for modernizing legacy systems.
Work with the Marketing and Product teams around competitive and feature requirements.
Develop products or program suggestions for clients and successfully sell them.
Follow up on sold products to ensure the customer is happy.
Stay knowledgeable about the latest updates in AI context layers, code generation, and other agentic tooling by continuing to read and study industry news and product releases.

Qualifications:

Strong technical acumen and customer consulting experience.
Experience working with AI-driven platforms for software development, particularly around requirements generation and reverse engineering of codebases.
Familiarity with Large Language Models (LLMs) and their application in software development lifecycles is a plus.
Experience using ClaudeCode, Codex, Cursor, Copilot, or other tools that use context to develop code
Experience in winning technical mindshare within Enterprise Tech Leaders.
Willingness and ability to travel 10% to 30% of the time.
Creativity to approach sales and build customer relationships in groundbreaking new ways.
Excellent written and oral communication skills.
Previous experience in business-to-business (B2B) sales at the Enterprise level.
Excellent organizational skills and a keen eye for detail.
Negotiation and social problem-solving skills.
Ability to work in a high-velocity sales environment and multitask.