Head of AI
Harnham
New York · Posted November 6, 2026
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Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
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About the job
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Head of AI | Remote, US (Eastern and Central states only) | $250,000 to $325,000 base + equity
Lead the AI function at a company whose core product is document intelligence: turning complex, high-stakes financial documents into accurate, structured data at scale. The mandate is clear: make this product the best in its market.
The Company A Series C, AI-native fintech bringing public-market data infrastructure to private markets. Its SaaS platform automates document and data operations for private market investors, accounting firms and institutional investors, combining proprietary models with frontier LLMs. Recent investment was made on the strength of its AI-first approach, and AI is now central to the company’s next phase of growth.
The Role
Assess the current product and ML stack, then drive measurable improvements in accuracy and reliability.
Lead and grow a team of four across ML engineering, MLOps and data engineering.
Stay hands-on as a player-coach, working several layers deep on architecture and model development.
Build a roadmap with a co-founder covering ML best practice, process and the wider AI strategy.
Balance frontier LLMs with in-house models and infrastructure, prioritising accuracy, determinism and efficiency.
Advise the board on new AI products and capabilities for clients.
What We’re Looking For
8 to 12+ years of industry experience, including 3 to 5 years leading ML, AI or data science teams.
Deep expertise in NLP and document intelligence: parsing, classification, entity extraction, OCR, layout understanding and document-to-JSON transformation.
Hands-on model development in Python with PyTorch, Hugging Face and scikit-learn.
A track record of taking an ML product from 0 to 1 in a SaaS environment, including inference serving, latency and in-product feedback loops.
Production deployment experience with Docker, Kubernetes and Azure, and ownership of the full ML lifecycle.
Nice to have: a Master’s or PhD in CS, ML, Applied Mathematics or a related field, and SaaS experience in finance, retail or consumer tech.
What’s On Offer
$250,000 to $325,000 base plus equity.
Fully remote within Eastern and Central US states.
A direct reporting line to a co-founder, with board-level exposure.
The chance to build and shape the team and its practices.
No Visa Sponsorship
How to Apply Apply via the link or contact Tom Brammer at Harnham.
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