Data Analytics AI Engineer
Fireblocks is an enterprise-grade platform delivering a secure infrastructure for moving, storing, and issuing digital assets. It enables exchanges, custodians, banks, trading desks, and hedge funds to securely scale digital asset operations through its patent-pending SGX & MPC technology.
About Fireblocks
Fireblocks is an enterprise-grade platform that provides a secure infrastructure for moving, storing, and issuing digital assets. It enables financial institutions like exchanges, custodians, banks, trading desks, and hedge funds to securely scale their digital asset operations. The company was founded by Michael Shaulov, Idan Ofrat, and Pavel Berengoltz after they investigated a major cyber breach. Fireblocks utilizes breakthrough Multi-Party Computation (MPC) and patent-pending chip isolation technology to secure private keys and API credentials. The platform supports various use cases including treasury management, wallet as a service, tokenization, payments, and DeFi, and provides a complete development platform with APIs, SDKs, and tutorials for building on the blockchain.
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