Hypercubic (YC F25) · 12 hours ago
Founding Mainframe Subject Matter Expert
Hypercubic is focused on building AI systems for modernizing large-scale legacy applications. They are seeking a founding mainframe subject matter expert to shape product direction and engage with enterprise customers throughout the modernization process.
Artificial Intelligence (AI)B2BEnterpriseEnterprise SoftwareSoftware
Responsibilities
Act as a hands-on technical authority on mainframe systems, including COBOL, JCL, RPG, and the surrounding legacy ecosystem
Read, reason about, and critique real production codebases and system architectures
Pressure-test Hypercubic’s product against real-world constraints such as batch processing, data dependencies, operational risk, testing complexity, and regulatory requirements
Work directly with engineering to validate workflows, abstractions, and outputs at a technical level. Translate deep system behavior into product requirements
Lead technically rigorous discovery conversations with enterprise prospects
Support enterprise sales cycles with real technical credibility, from first call to signed annual contract. Help define pilots and PoCs with concrete technical scope and measurable outcomes
Engage with system integrators and partners on technically realistic deployment and integration paths
Qualification
Required
You have spent years working directly inside production mainframe environments
Understand the broader mainframe tooling and vendor landscape
Have been personally involved in real modernization efforts from technical discovery through execution
Act as a hands-on technical authority on mainframe systems, including COBOL, JCL, RPG, and the surrounding legacy ecosystem
Read, reason about, and critique real production codebases and system architectures
Pressure-test Hypercubic's product against real-world constraints such as batch processing, data dependencies, operational risk, testing complexity, and regulatory requirements
Work directly with engineering to validate workflows, abstractions, and outputs at a technical level
Translate deep system behavior into product requirements
Lead technically rigorous discovery conversations with enterprise prospects
Support enterprise sales cycles with real technical credibility, from first call to signed annual contract
Help define pilots and PoCs with concrete technical scope and measurable outcomes
Engage with system integrators and partners on technically realistic deployment and integration paths
You care deeply about your work and the product
You think in systems and feedback loops, not just features
You can move fast and slow
You want to help build world-class AI for mainframe modernization
You have a bias for action and a track record of working in fast-paced environments with urgency
You can adapt your deep mainframe knowledge to modern engineering paradigms
Preferred
Have 10+ years working directly with production mainframe systems
Hands-on experience reading, debugging, and modifying large COBOL codebases
Strong working knowledge of JCL and batch processing in real enterprise environments
Experience with online transaction systems (e.g. CICS, IMS) and associated data stores (e.g. DB2)
Direct involvement in at least one real modernization, migration, or large-scale refactoring effort
Ability to reason about system behavior across code, data, and operations
Experience leading technical discussions with enterprise customers
Experience scoping work, defining pilots, and navigating long enterprise sales cycles
Comfort owning outcomes, including technical risk and commercial commitments
Willingness to travel for customer engagements as needed
Benefits
Generous health, dental, and vision benefits
PTO
Relocation support as needed
Company
Hypercubic (YC F25)
Hypercubic uses AI to understand complex mainframe/COBOL systems and preserve the human expertise behind them — making every line of legacy code that runs the world understandable and future-proof.