Job Overview
Fireblocks is the company bringing global finance onchain. Backed by over $1 billion in capital, we are the premier digital asset infrastructure provider trusted by thousands of industry-defining financial institutions, including banks, payment providers, fintechs, and global corporates such as BNY Mellon, BNP Paribas, ANZ Bank, Western Union, Stripe, and Revolut. Built for institutional scale and security, our enterprise-grade platform and network have powered over $14 trillion in digital asset transfers worldwide.
About the Team Join our global Data team, which partners closely with Product, Engineering, and GTM stakeholders to power data-driven decision making and AI-driven products across Fireblocks. The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting. We operate in a fast-paced, high-growth environment where much of what we build is new, and we figure things out as we go.
What You'll Do
- 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.
- 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.
- Evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance.
- Continuously monitor, refine, and evolve AI models and solutions, iterating on prompt engineering and deployment practices to keep pace with rapidly advancing capabilities.
- Ship and maintain production-grade analytics and AI applications through modern CI/CD pipelines (GitLab/GitHub), ensuring reliable, repeatable, and observable deployments.
- Manage and influence senior business stakeholders (including CRO-level), owning projects end-to-end and translating complex data and AI concepts into business outcomes.
- Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed across the team.
What You'll Bring Required
- 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: experience defining KPIs and communicating data-driven recommendations to senior business stakeholders, with commercial acumen across Sales, Marketing, and revenue/pipeline.
- Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.
- Demonstrated ability to own projects independently: scoping problems, navigating ambiguity, and managing stakeholder r