Chief AI Officer
Remote
Head of AI / Chief AI Officer
Block MB · Artificial Intelligence / Enterprise Software · 50-200 employees · 📍 United States
A hands-on AI leadership role at a Series D, pre-IPO company where the hire will own the entire AI/ML roadmap and architecture at a product inflection point — this is a builder-leader role with direct equity upside before a likely public offering.
Compensation
$300k-$620k
AI Maturity
advanced
Why Role Exists
Expansion
Company Stage
scale-up
Source
linkedin
Key Responsibilities
- Own and drive the full AI/ML product roadmap alongside the founding team
- Set architectural direction across LLM fine-tuning, RAG pipelines, and inference infrastructure
- Lead post-training alignment work including RLHF, DPO, and evaluation frameworks
- Build, hire, and develop a lean team of senior AI engineers
- Define and enforce engineering culture and technical standards for AI across the org
Requirements
- Proven leadership of AI/ML engineering at a high-scale, fast-moving company
- Deep hands-on expertise in LLMs, transformer architectures, or retrieval systems
- Track record of shipping AI products at real production scale
- Ability to context-switch fluidly between strategic roadmap and hands-on technical execution
- Comfortable operating with high autonomy in low-process environments
Signals
- ⚠ Company identity is undisclosed — candidate cannot vet the employer independently before engaging
- ⚠ Extremely wide salary band ($300K–$620K) suggests role scope or level is not fully defined internally
- ⚠ Posted by a recruiting firm (Block MB), not directly by the company — adds a layer of information asymmetry
- ⚠ No mention of reports-to structure or board visibility
- ✓ Series D with nine-figure investment and multi-billion dollar valuation — financially de-risked
- ✓ Pre-IPO equity at an inflection point — meaningful upside window
- ✓ Product already at hundreds of millions of users — real scale, not theoretical
- ✓ Intentionally small and senior team — minimal bureaucratic drag
- ✓ Explicit technical mandate (RLHF, DPO, RAG, fine-tuning) signals a sophisticated, well-resourced AI function
- ✓ Fully remote with no location requirement