Data Analytics AI Engineer
Castle Island Ventures is a venture capital firm focused exclusively on public blockchains, investing in early-stage companies at the intersection of traditional finance and public blockchains.
About Castle Island Ventures
Castle Island Ventures is a venture capital firm focused exclusively on public blockchains. Their mission is to support entrepreneurs building the infrastructure and application companies required to help transformative blockchain protocols reach their full potential. They describe their focus as 'accelerating frictionless finance,' investing in early-stage companies operating at the intersection of traditional finance and public blockchains. The firm also produces a podcast and newsletter covering topics in this space, and maintains a portfolio of companies whose open roles are listed on their jobs board.
Skills
About the Role
You will design and build LLM-powered systems and data agents that directly improve internal capabilities, enabling GTM, Product, and Engineering teams to make faster, smarter, data-driven decisions at scale. You will analyze large-scale datasets to surface strategic insights across the customer lifecycle and revenue funnel, define and track critical KPIs, and translate findings into actionable product and business recommendations. You will evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation. You will continuously monitor, refine, and evolve AI models and solutions, iterating on prompt engineering and deployment practices. You will ship and maintain production-grade analytics and AI applications through modern CI/CD pipelines, manage and influence senior business stakeholders, and leverage AI-assisted development tools to accelerate delivery speed.
Requirements
- 5+ years of experience in AI/ML engineering or a combined data analytics and AI role
- Strong SQL proficiency; solid Python experience is a strong plus
- Hands-on experience with LLMs, prompt engineering, fine-tuning, and model evaluation pipelines
- Strong analytical background defining KPIs and communicating data-driven recommendations to senior stakeholders
- Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads
- Demonstrated ability to own projects independently
- Strong cross-functional communication skills
- Ability to work in NYC office ~3 days weekly
Responsibilities
- Design and build LLM-powered systems and data agents that improve internal capabilities
- Analyze large-scale datasets to surface strategic insights across the customer lifecycle and revenue funnel
- Define and track critical KPIs and translate findings into actionable business recommendations
- Evaluate and quantify the business impact of AI initiatives through experimentation and benchmarking
- Continuously monitor, refine, and evolve AI models and solutions
- Ship and maintain production-grade analytics and AI applications through CI/CD pipelines
- Manage and influence senior business stakeholders and own projects end-to-end
- Leverage AI-assisted development tools to accelerate delivery speed