The Enterprise Solutions Engineer will partner with account executives to support technical strategies, deliver presentations, advise enterprise customers on AI-driven solutions, and ensure client satisfaction through ongoing relationship management.
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 roleWe’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.
- 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.
- 10-15 years experience in Enterprise Technical Sales.
- Proven record of influencing technical mindshare.
- Proven record of achieving sales targets.
- Hands-on engineer and/or software architect experience.
- CRM proficiency is a must.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Supports enterprise sales by partnering with Account Executives, leading discovery, delivering tailored demonstrations, translating customer challenges into solutions, and influencing executive buying decisions. The role requires expertise in value-based selling, solutions engineering, complex enterprise sales cycles, APIs, integrations, and technical solution design, while collaborating with Product, Engineering, Customer Success, and Marketing. Travel of 30% or more is required.
Top Skills:
AIAPIsHardwareIntegrationsSaaS
Artificial Intelligence • Healthtech • Software
Own workforce management, HCM, and payroll solutioning across sales, implementation, and post-launch support. Lead enterprise discovery, integration readiness, payroll validation, troubleshooting, and complex customer deployments involving UKG, Workday, and related systems. Build reusable playbooks, documentation, training, and scalable capabilities while translating recurring customer requirements into product and engineering priorities. The role establishes Vitalize’s Enterprise Solutions function and requires significant customer-site travel.
Top Skills:
Api HealthcareBoomiFlat-File IntegrationsInforOidcOracle HcmRest ApisSAMLScimSftpUkg DimensionsUkg Integration ToolingUkg ProUkg Workforce CentralWorkdayWorkday EibWorkday Studio
Artificial Intelligence • Healthtech • Software
Lead clinical-data solutioning across sales, implementation, and post-launch support. Own EHR discovery, HL7 and FHIR integration planning, interface and security-team alignment, feed testing, census validation, and clinical-data readiness. Build reusable integration patterns, documentation, playbooks, and training while translating customer requirements into product priorities. Support expansion into patient flow and capacity management, including bed management, transfers, emergency department boarding, and discharge planning.
Top Skills:
CloverleafEpicEpic BridgesFhirHl7 V2MeditechMirthOracle HealthRhapsodyVendor Apis
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
