You'll be Employee #3, working directly with us to build technology that will modernize the backbone of global commerce. This isn't incremental improvement—this is category creation.
The Technical Challenge:
Design and implement transformer architectures specifically optimized for COBOL→Java/Python translation
Build real-time code analysis engines processing millions of lines with sub-second latency
Create enterprise-grade AI pipelines handling Fortune 100 codebases with zero tolerance for error
Architect distributed systems supporting concurrent modernization of 50+ million line codebases
Technical Mastery:
8+ years building production AI/ML systems at scale (not research, not prototypes—systems handling real user traffic)
Deep expertise in transformer architectures, fine-tuning, and custom model development
Proven track record optimizing inference for enterprise workloads (sub-100ms response times)
Systems engineering excellence: distributed computing, microservices, cloud-native architecture
Battle-tested experience with PyTorch/TensorFlow, CUDA optimization, and model deployment
Founding DNA:
0→1 product builder: You've taken ideas from whiteboard to millions of users
Technical leadership: You've hired and led engineering teams of 10+ engineers
Ownership mentality: You think like an owner because you've been one
Enterprise Credibility:
B2B product intuition: You've built products that CFOs and CTOs actually buy and deploy
Performance obsession: You've optimized systems handling billions of transactions with 99.99% uptime
You've shipped AI products that generated $10M+ in revenue
You can debug transformer attention mechanisms as easily as you debug distributed systems
You've led technical due diligence for VC firms or been the technical founder VCs bet on
You speak both languages: You can explain neural architecture to PhD researchers and ROI to enterprise buyers
You have pattern recognition from seeing multiple 0→1 journeys and know what actually scales
Immediate Impact:
Technical co-founder role with significant equity upside
Direct partnership with CEO on product strategy and technical vision
Ownership of entire AI engineering organization as we scale to 100+ engineers
Platform architecture decisions that will define a multi-billion dollar market
Market Timing:
Zero real competition in AI-powered COBOL modernization
Massive tailwinds: Every enterprise needs this, regulatory pressure increasing, COBOL talent retiring
Financial Upside:
Equity package designed for 10x+ returns based on current traction. (2% equity vesting in 4 years)
Fast-track to CTO as we scale through Series B and beyond
Life-changing wealth creation opportunity in a category we're defining
Unlimited PTO (because we hire people who don't need to be managed)
$5K annual learning budget for conferences, courses, and technical development
Top-tier health/dental/vision with 100% company coverage
Latest hardware: M3 MacBook Pro, multiple 4K monitors, whatever you need to be productive
San Francisco office in SOMA with optional remote flexibility
30-minute technical screen with our CEO (we respect your time)
Technical deep-dive (4 hours): Architecture design + live coding + system design
Product strategy session (2 hours): How would you scale our AI platform?
Reference calls with previous co-founders/technical leaders you've worked with
Final conversation about equity, role scope, and mutual fit
You have concrete examples of AI systems you've built that handle enterprise workloads
You can start within 30 days (we're moving fast and need someone who can too)
You're excited about legacy modernization as a massive market opportunity, not just another AI application
