CoreStory

Solutions Engineer

• 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.

Enterprise Solutions Engineer

Engineering Manager

• Lead and grow the engineering team — hire, mentor, and develop engineers across product, platform, and infrastructure disciplines, building a culture of ownership, craft, and continuous improvement. Build a culture where engineers deeply understand and empathize with customers, not just internal requirements
• Champion AI-native engineering practices.
• Define and own the AI engineering roadmap, aligning technical direction with company and product strategy.
• Oversee architecture and implementation of LLM-driven systems, including retrieval-augmented generation (RAG), chat agents, and semantic search pipelines.
• Champion best practices for model evaluation, and AI feature integration.
• Evaluate, integrate, and optimize LLMs (e.g., GPT, Claude, Llama, Mistral) for production use cases.
• Collaborate with engineering leadership to ensure scalability, performance, and reliability across CoreStory’s Platform.
• Foster a strong culture of experimentation, learning, and innovation across the engineering team.
• Stay ahead of emerging trends in LLMs, RAG architectures, and AI frameworks — translating research into product-ready capabilities.
• Own delivery velocity and execution — establish engineering processes, sprint cadences, and delivery practices that keep teams moving with clarity and confidence — without unnecessary overhead. Driving ownership of customer-facing engineering issues end-to-end

Enterprise Solutions Engineer

Head of Engineering