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NEXTMOVEFDE careers · United States
Fireblocks

Data Analytics AI Engineer

AI summary of the role

Fireblocks is hiring a Data Analytics AI Engineer to design and build LLM-powered systems and data agents that improve internal capabilities for GTM, Product, and Engineering teams.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

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.
  • Ship and maintain production-grade analytics and AI applications through modern CI/CD pipelines (GitLab/GitHub), ensuring reliable, repeatable, and observable deployments.

What you’ll bring

  • 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.
  • Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.

Technologies

LLMs · prompt engineering · fine-tuning · model evaluation · SQL · Python · GitLab · GitHub · CI/CD · Snowflake · dbt

About Fireblocks

Fireblocks provides MPC-based wallet, custody, payments, tokenization, and settlement infrastructure for banks, fintechs, and crypto firms building digital asset products at scale.

Series E · 500–1000 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the 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 recommenda [... source excerpt omitted ...] 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 engineerin [... source excerpt omitted ...] n is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms. Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms. Please see our candidate privacy policy here.

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