Head of AI/ML
Head of Applied AI
InCommon · AI Infrastructure / Enterprise AI · 1-20 employees · 📍 San Francisco Bay Area
First applied AI hire to own the full technical stack — memory systems, retrieval benchmarks, and production LLM infrastructure — at a stealth startup that currently holds the #1 spot on LongMemEval-s.
AI Maturity
advanced
Reports To
CTO
Why Role Exists
New position
Company Stage
startup
Source
linkedin
Key Responsibilities
- Own technical roadmap for memory quality and retrieval performance
- Lead internal and public benchmark/evaluation programmes and competitive analysis
- Define retrieval and context construction architecture across all product tiers
- Partner with enterprise customers on custom memory configuration challenges
- Publish research to reinforce external technical credibility
- Hire and grow the applied AI team
Requirements
- 5–8 years in applied ML, AI systems, or LLM infrastructure
- Proven track record shipping production AI systems
- Deep expertise in retrieval architectures, RAG, and LLM context management
- Background at an AI lab, frontier model company, or AI infrastructure startup
- Experience running rigorous evaluation or benchmark programmes
Signals
- ⚠ No salary range disclosed — unusual for a senior technical leadership role in SF
- ⚠ Company is in stealth mode — limited public information for due diligence
- ⚠ Recruited via third-party firm (InCommon) rather than direct hire, reducing transparency
- ⚠ LinkedIn seniority listed as 'Mid-Senior' which undersells the actual scope of the role
- ✓ Holds verifiable SOTA benchmark (#1 on LongMemEval-s at 90.79%), providing rare proof of technical credibility
- ✓ Meaningful equity explicitly highlighted — suggests genuine founder-level upside
- ✓ Direct access to founding engineering team signals high influence and ownership
- ✓ Immediate hiring timeline indicates funding is secured and roadmap is live
- ✓ Strong benefit stack (meals, learning budget, offsites, gear) consistent with well-funded seed/Series A