Fireblocks
DataAnalyticsAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analytics AI Engineer at Fireblocks. Skills: LLM systems, Data agents, AI initiatives, Prompt engineering. Design LLM-powered systems. Build data agents”
What You'll Achieve.
Deliver AI solutions; Deliver data agents; Become trusted partner; Elevate team velocity; Elevate team capabilities
Industry & Context.
Scoping problems; Navigating ambiguity
3 days in office weekly
What They're Looking For.
Must Have
5+ years of experience in AI/ML engineering, SQL solid, Hands-on experience with LLMs, prompt engineering, fine-tuning, model evaluation pipelines, Experience defining KPIs, Experience with CI/CD pipelines using GitLab or GitHub, Demonstrated ability to own projects independently
Nice to Have
Python solid experience is a plus, Practical knowledge of Snowflake, Experience with dbt, Familiarity with the digital assets, fintech, or Web3 domain
What You'll Do.
Design LLM-powered systems
Improve internal capabilities
and Engineering teams
Analyze large-scale datasets
Surface strategic insights
Translate findings into recommendations
Evaluate business impact of AI initiatives
Quantify business impact
Optimize LLM performance
Iterate on prompt engineering
Iterate on deployment practices
Ship analytics applications
Maintain analytics applications
Maintain AI applications
Manage senior business stakeholders
Influence senior business stakeholders
Own projects end-to-end
Translate data concepts
Translate AI concepts
How You'll Work.
Team & Collaboration
Partner with Product; Partner with Engineering; Partner with GTM stakeholders; Cross-functional communication skills
Communication Scope
Cross-functional communication; Present AI concepts; Present AI outcomes
Process & Methodology
Own projects end-to-end
Full Job Description
The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. 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 pr
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